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Journal articles on the topic 'Motion'
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1
Park, Woojin, Don B. Chaffin, and Bernard J. Martin. "A Motion Modification Algorithm for Memory-Based Human Motion Simulation." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 46, no. 13 (September 2002): 1172–75. http://dx.doi.org/10.1177/154193120204601335.
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Simulating human motions in the virtual CAD world is important in the computerized ergonomic design of products and workplaces. The present study introduces a novel, memory-based approach for simulating realistic human motions and presents a motion modification algorithm. in this novel approach, realistic human motions are simulated by modifying existing motion samples stored in a motion database. The proposed motion modification algorithm was found to be able to simulate human motions accurately. The memory-based motion simulation approach has advantages over existing simulation models as it can simulate qualitatively different types of motions on a single platform, predict motions of different styles, and continually learn new motions.
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Han, Bo, Hao Peng, Minjing Dong, Yi Ren, Yixuan Shen, and Chang Xu. "AMD: Autoregressive Motion Diffusion." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 3 (March 24, 2024): 2022–30. http://dx.doi.org/10.1609/aaai.v38i3.27973.
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Human motion generation aims to produce plausible human motion sequences according to various conditional inputs, such as text or audio. Despite the feasibility of existing methods in generating motion based on short prompts and simple motion patterns, they encounter difficulties when dealing with long prompts or complex motions. The challenges are two-fold: 1) the scarcity of human motion-captured data for long prompts and complex motions. 2) the high diversity of human motions in the temporal domain and the substantial divergence of distributions from conditional modalities, leading to a many-to-many mapping problem when generating motion with complex and long texts. In this work, we address these gaps by 1) elaborating the first dataset pairing long textual descriptions and 3D complex motions (HumanLong3D), and 2) proposing an autoregressive motion diffusion model (AMD). Specifically, AMD integrates the text prompt at the current timestep with the text prompt and action sequences at the previous timestep as conditional information to predict the current action sequences in an iterative manner. Furthermore, we present its generalization for X-to-Motion with “No Modality Left Behind”, enabling for the first time the generation of high-definition and high-fidelity human motions based on user-defined modality input.
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Lim, Dae-Young, Hyun-Jin Kwak, and Young-Jae Ryoo. "Motion Editing Tool to Create Dancing Motions of Humanoid Robot." International Journal of Humanoid Robotics 11, no. 04 (December 2014): 1442002. http://dx.doi.org/10.1142/s021984361442002x.
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In this paper, a motion editing tool to create dancing motions of a humanoid robot is proposed. In order to build performances or dancing of a humanoid robot, a motion editing tool to create specific motions is necessary. Especially, to generate more natural motions is required for a dancing robot. We proposed a motion editing tool and algorithm to create the natural motions. The proposed motion editing tool can create robot's motions composed of several steps which are captured from every joint while the robot plays. The motion editing tool generates the continuous motion interpolated between each steps. A humanoid robot of 50 cm tall is developed to test the proposed tool. The robot using the motion editing tool was demonstrated the natural dancing performance.
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Kahveci̇, Derya, and Yusuf Yayli. "Persistent rigid-body motions on slant helices." International Journal of Geometric Methods in Modern Physics 16, no. 12 (November 29, 2019): 1950193. http://dx.doi.org/10.1142/s0219887819501937.
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This paper reviews the persistent rigid-body motions and examines the geometric conditions of the persistence of some special frame motions on a slant helix. Unlike the Frenet–Serret motion on general helices, the Frenet–Serret motion on slant helices can be persistent. Moreover, even the adapted frame motion on slant helices can be persistent. This paper begins by explaining one-dimensional rigid-body motions and persistent motions. Then, it continues to present persistent frame motions in terms of their instantaneous twists and axode surfaces. Accordingly, the persistence of any frame motions attached to a curve can be characterized by the pitch of an instantaneous twist. This work investigates different frame motions that are persistent, namely frame motions whose instantaneous twist has a constant pitch. In particular, by expressing the connection between the pitch of Frenet–Serret motion and the pitch of adapted frame motion, it demonstrates that both the Frenet–Serret motion and the adapted frame motion are persistent on slant helices.
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Choi, Hee-Eun, and Jung-Il Jun. "Development of an Estimation Formula to Evaluate Mission Motion Suitability of Military Jackets." Applied Sciences 11, no. 19 (September 30, 2021): 9129. http://dx.doi.org/10.3390/app11199129.
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We developed an estimation formula for mission motion suitability evaluation based on the general motion protocol to evaluate the motion suitability of a tracked vehicle crew jacket. Motion suitability evaluation was conducted for the 9 general motions and 12 mission motions among 27 tracked vehicle crew members who wore a tracked vehicle crew jacket. We conducted correlation and factor analyses on motions to extract the main mission motions, and a multiple regression analysis was performed on major mission motions using general motions as independent variables. As a result, two mission behavior factors related to ammunition stowing and boarding/entry were extracted. We selected ammunition stowing I and the boarding motion, which has the highest factor load in each factor and the highest explanatory power (R2) of the estimation formula. Regression equations for ammunition stowing consisting of five general motions (p < 0.001) and for boarding motion (p < 0.01) consisting of one general motion could be obtained. In conclusion, the estimation formula for mission motion suitability using general motion is beneficial for enhancing the effectiveness of the evaluation of military jackets for tracked vehicle crews.
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Takahashi, Nobuko. "Effect of Spatial Configuration of Motion Signals on Motion Integration across Space." Swiss Journal of Psychology 63, no. 3 (September 2004): 173–82. http://dx.doi.org/10.1024/1421-0185.63.3.173.
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The present study examined the effect of the spatial configuration of local signals on motion integration across space. The perceived coherency was measured in different configurations of apertures and combinations of motion directions. The results showed the following. (1) Motion integration across separate apertures is affected by the spatial configuration of the apertures. The perceived coherency was highest when the apertures were arranged symmetrically with respect to the coherent direction. (2) Though the spatial configuration of apertures are the same, the assignment of each local motion to each apertures has an effect, and converging local motions are integrated more than diverging local motions. (3) There is a limit to the direction difference of local motions. These results suggest that the spatial structure of global motion behind apertures has a considerable effect on the integration of local motions in apertures.
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Ichnowski, Jeffrey, Yahav Avigal, Vishal Satish, and Ken Goldberg. "Deep learning can accelerate grasp-optimized motion planning." Science Robotics 5, no. 48 (November 18, 2020): eabd7710. http://dx.doi.org/10.1126/scirobotics.abd7710.
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Robots for picking in e-commerce warehouses require rapid computing of efficient and smooth robot arm motions between varying configurations. Recent results integrate grasp analysis with arm motion planning to compute optimal smooth arm motions; however, computation times on the order of tens of seconds dominate motion times. Recent advances in deep learning allow neural networks to quickly compute these motions; however, they lack the precision required to produce kinematically and dynamically feasible motions. While infeasible, the network-computed motions approximate the optimized results. The proposed method warm starts the optimization process by using the approximate motions as a starting point from which the optimizing motion planner refines to an optimized and feasible motion with few iterations. In experiments, the proposed deep learning–based warm-started optimizing motion planner reduces compute and motion time when compared to a sampling-based asymptotically optimal motion planner and an optimizing motion planner. When applied to grasp-optimized motion planning, the results suggest that deep learning can reduce the computation time by two orders of magnitude (300×), from 29 s to 80 ms, making it practical for e-commerce warehouse picking.
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Shu, Yong, Feng Shi, Wei Ran Duan, and Sheng Yi Li. "Compare Study between Planet Motion and Orbital Motion in CCOS." Advanced Materials Research 662 (February 2013): 595–98. http://dx.doi.org/10.4028/www.scientific.net/amr.662.595.
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In order to get a profound understanding of planet motion and orbital motion in CCOS (Computer Controlled Optical Surfacing), a compare study between them was conducted here. The material removals of two motions under the same conditions were simulated and the removal of planet motion was higher than that of orbital motion. The figuring abilities of two motions were also studied through the theory of cut-off frequency and the result showed that planet motion had a higher cut-off frequency. Then two figuring runs which employ the planet motion and the orbital motion were simulated. The convergence rates and polishing times of these two runs were compared and the result showed that planet motion had a higher figuring efficiency. As planet motion has stronger figuring ability and higher figuring efficiency, it’s better to employ planet motion in CCOS to get higher convergence rate and higher accuracy when fabricating high quality mirrors.
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Zhang, Sharon, Jiaju Ma, Jiajun Wu, Daniel Ritchie, and Maneesh Agrawala. "Editing Motion Graphics Video via Motion Vectorization and Transformation." ACM Transactions on Graphics 42, no. 6 (December 5, 2023): 1–13. http://dx.doi.org/10.1145/3618316.
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Motion graphics videos are widely used in Web design, digital advertising, animated logos and film title sequences, to capture a viewer's attention. But editing such video is challenging because the video provides a low-level sequence of pixels and frames rather than higher-level structure such as the objects in the video with their corresponding motions and occlusions. We present a motion vectorization pipeline for converting motion graphics video into an SVG motion program that provides such structure. The resulting SVG program can be rendered using any SVG renderer (e.g. most Web browsers) and edited using any SVG editor. We also introduce a program transformation API that facilitates editing of a SVG motion program to create variations that adjust the timing, motions and/or appearances of objects. We show how the API can be used to create a variety of effects including retiming object motion to match a music beat, adding motion textures to objects, and collision preserving appearance changes.
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Li, Jiaman, Jiajun Wu, and C. Karen Liu. "Object Motion Guided Human Motion Synthesis." ACM Transactions on Graphics 42, no. 6 (December 5, 2023): 1–11. http://dx.doi.org/10.1145/3618333.
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Modeling human behaviors in contextual environments has a wide range of applications in character animation, embodied AI, VR/AR, and robotics. In real-world scenarios, humans frequently interact with the environment and manipulate various objects to complete daily tasks. In this work, we study the problem of full-body human motion synthesis for the manipulation of large-sized objects. We propose Object MOtion guided human MOtion synthesis (OMOMO), a conditional diffusion framework that can generate full-body manipulation behaviors from only the object motion. Since naively applying diffusion models fails to precisely enforce contact constraints between the hands and the object, OMOMO learns two separate denoising processes to first predict hand positions from object motion and subsequently synthesize full-body poses based on the predicted hand positions. By employing the hand positions as an intermediate representation between the two denoising processes, we can explicitly enforce contact constraints, resulting in more physically plausible manipulation motions. With the learned model, we develop a novel system that captures full-body human manipulation motions by simply attaching a smartphone to the object being manipulated. Through extensive experiments, we demonstrate the effectiveness of our proposed pipeline and its ability to generalize to unseen objects. Additionally, as high-quality human-object interaction datasets are scarce, we collect a large-scale dataset consisting of 3D object geometry, object motion, and human motion. Our dataset contains human-object interaction motion for 15 objects, with a total duration of approximately 10 hours.
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Akber, Syed Muhammad Abrar, Sadia Nishat Kazmi, Syed Muhammad Mohsin, and Agnieszka Szczęsna. "Deep Learning-Based Motion Style Transfer Tools, Techniques and Future Challenges." Sensors 23, no. 5 (February 26, 2023): 2597. http://dx.doi.org/10.3390/s23052597.
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In the fourth industrial revolution, the scale of execution for interactive applications increased substantially. These interactive and animated applications are human-centric, and the representation of human motion is unavoidable, making the representation of human motions ubiquitous. Animators strive to computationally process human motion in a way that the motions appear realistic in animated applications. Motion style transfer is an attractive technique that is widely used to create realistic motions in near real-time. motion style transfer approach employs existing captured motion data to generate realistic samples automatically and updates the motion data accordingly. This approach eliminates the need for handcrafted motions from scratch for every frame. The popularity of deep learning (DL) algorithms reshapes motion style transfer approaches, as such algorithms can predict subsequent motion styles. The majority of motion style transfer approaches use different variants of deep neural networks (DNNs) to accomplish motion style transfer approaches. This paper provides a comprehensive comparative analysis of existing state-of-the-art DL-based motion style transfer approaches. The enabling technologies that facilitate motion style transfer approaches are briefly presented in this paper. When employing DL-based methods for motion style transfer, the selection of the training dataset plays a key role in the performance. By anticipating this vital aspect, this paper provides a detailed summary of existing well-known motion datasets. As an outcome of the extensive overview of the domain, this paper highlights the contemporary challenges faced by motion style transfer approaches.
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Raudies, Florian, Ennio Mingolla, and Heiko Neumann. "A Model of Motion Transparency Processing with Local Center-Surround Interactions and Feedback." Neural Computation 23, no. 11 (November 2011): 2868–914. http://dx.doi.org/10.1162/neco_a_00193.
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Motion transparency occurs when multiple coherent motions are perceived in one spatial location. Imagine, for instance, looking out of the window of a bus on a bright day, where the world outside the window is passing by and movements of passengers inside the bus are reflected in the window. The overlay of both motions at the window leads to motion transparency, which is challenging to process. Noisy and ambiguous motion signals can be reduced using a competition mechanism for all encoded motions in one spatial location. Such a competition, however, leads to the suppression of multiple peak responses that encode different motions, as only the strongest response tends to survive. As a solution, we suggest a local center-surround competition for population-encoded motion directions and speeds. Similar motions are supported, and dissimilar ones are separated, by representing them as multiple activations, which occurs in the case of motion transparency. Psychophysical findings, such as motion attraction and repulsion for motion transparency displays, can be explained by this local competition. Besides this local competition mechanism, we show that feedback signals improve the processing of motion transparency. A discrimination task for transparent versus opaque motion is simulated, where motion transparency is generated by superimposing large field motion patterns of either varying size or varying coherence of motion. The model’s perceptual thresholds with and without feedback are calculated. We demonstrate that initially weak peak responses can be enhanced and stabilized through modulatory feedback signals from higher stages of processing.
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Bex, Peter J., Andrew B. Metha, and Walter Makous. "Enhanced motion aftereffect for complex motions." Vision Research 39, no. 13 (June 1999): 2229–38. http://dx.doi.org/10.1016/s0042-6989(98)00329-0.
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Dong, Ran, Dongsheng Cai, and Soichiro Ikuno. "Motion Capture Data Analysis in the Instantaneous Frequency-Domain Using Hilbert-Huang Transform." Sensors 20, no. 22 (November 16, 2020): 6534. http://dx.doi.org/10.3390/s20226534.
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Motion capture data are widely used in different research fields such as medical, entertainment, and industry. However, most motion researches using motion capture data are carried out in the time-domain. To understand human motion complexities, it is necessary to analyze motion data in the frequency-domain. In this paper, to analyze human motions, we present a framework to transform motions into the instantaneous frequency-domain using the Hilbert-Huang transform (HHT). The empirical mode decomposition (EMD) that is a part of HHT decomposes nonstationary and nonlinear signals captured from the real-world experiments into pseudo monochromatic signals, so-called intrinsic mode function (IMF). Our research reveals that the multivariate EMD can decompose complicated human motions into a finite number of nonlinear modes (IMFs) corresponding to distinct motion primitives. Analyzing these decomposed motions in Hilbert spectrum, motion characteristics can be extracted and visualized in instantaneous frequency-domain. For example, we apply our framework to (1) a jump motion, (2) a foot-injured gait, and (3) a golf swing motion.
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Wang, Yulu, Fahui Zhu, and Yonghui Xie. "Numerical Study on the Effect of Non-Sinusoidal Motion on the Energy Extraction Performance of Parallel Foils." Applied Sciences 9, no. 3 (January 23, 2019): 384. http://dx.doi.org/10.3390/app9030384.
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The effect of non-sinusoidal motion which influences the energy extraction performance of foil is considered in this paper. Two oscillation motions, the combined non-sinusoidal plunging and sinusoidal pitching motion, as well as the combined non-sinusoidal pitching and sinusoidal plunging motion, are selected to investigate the oscillation process of two-dimensional parallel foils numerically. The optimal oscillation motion and average power coefficient at different combined motions are gained. The effects of the plunging motion and pitching motion at different oscillation motions are analyzed, and the evolution law of the foil lift force and vortex field are obtained. It is indicated that the non-sinusoidal motion has a significant influence on energy extraction. When the motion is combined (non-sinusoidal plunging and sinusoidal pitching motion), the best extraction performance is gained at Kh = −0.5. The maximal CPm is 0.375 and the maximal η is 0.188. When the motion is combined (non-sinusoidal pitching and sinusoidal plunging motion), the maximal CPm is 0.623 and the maximal η is 0.312 which appear at Kθ = 2. For the same frequency, the more the plunging motion is similar to the sinusoidal motion, the more energy is extracted by foils. While the more the pitching motion approximates to the square wave, the worse the achieved extraction performance is.
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Jing, Beibei, Youjia Zhang, Zikai Song, Junqing Yu, and Wei Yang. "AMD: Anatomical Motion Diffusion with Interpretable Motion Decomposition and Fusion." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 3 (March 24, 2024): 2643–51. http://dx.doi.org/10.1609/aaai.v38i3.28042.
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Generating realistic human motion sequences from text descriptions is a challenging task that requires capturing the rich expressiveness of both natural language and human motion. Recent advances in diffusion models have enabled significant progress in human motion synthesis. However, existing methods struggle to handle text inputs that describe complex or long motions. In this paper, we propose the Adaptable Motion Diffusion (AMD) model, which leverages a Large Language Model (LLM) to parse the input text into a sequence of concise and interpretable anatomical scripts that correspond to the target motion. This process exploits the LLM’s ability to provide anatomical guidance for complex motion synthesis. We then devise a two-branch fusion scheme that balances the influence of the input text and the anatomical scripts on the inverse diffusion process, which adaptively ensures the semantic fidelity and diversity of the synthesized motion. Our method can effectively handle texts with complex or long motion descriptions, where existing methods often fail. Experiments on datasets with relatively more complex motions, such as CLCD1 and CLCD2, demonstrate that our AMD significantly outperforms existing state-of-the-art models.
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Chen, Si Xi, Shu Chen, Jian De Lin, Jian Wei Li, and Xin Chen. ""The Seven Claps" of Quan-Zhou Chest-Clapping with Motion Capture." Applied Mechanics and Materials 311 (February 2013): 202–7. http://dx.doi.org/10.4028/www.scientific.net/amm.311.202.
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This paper focuses on the motion capture method of the certain variety of South China traditional folk dance, Quan-zhou Chest-clapping. The authors used Vicon Motion Capture system to capture the motion of “the seven claps”, the basic form of Quan-zhou Chest-clapping Dance, and optimized the capture procedures and acting standards for the clapping and certain motions’ capture. To process the motion data , the authors used the Motionanalysis system to obtain the six degrees of freedom of certain basic dance motions, by measuring the motions’ maximum and minimum values of linear displacements and angular displacements on axis X ,Y and Z. Based on the measuring results of the motions’ degrees of freedom, the authors further discussed the quantification of motion course and developed the integrate exclusive motion capturing assessment criteria.
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Lee, Taeryung, Gyeongsik Moon, and Kyoung Mu Lee. "MultiAct: Long-Term 3D Human Motion Generation from Multiple Action Labels." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 1 (June 26, 2023): 1231–39. http://dx.doi.org/10.1609/aaai.v37i1.25206.
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We tackle the problem of generating long-term 3D human motion from multiple action labels. Two main previous approaches, such as action- and motion-conditioned methods, have limitations to solve this problem. The action-conditioned methods generate a sequence of motion from a single action. Hence, it cannot generate long-term motions composed of multiple actions and transitions between actions. Meanwhile, the motion-conditioned methods generate future motions from initial motion. The generated future motions only depend on the past, so they are not controllable by the user's desired actions. We present MultiAct, the first framework to generate long-term 3D human motion from multiple action labels. MultiAct takes account of both action and motion conditions with a unified recurrent generation system. It repetitively takes the previous motion and action label; then, it generates a smooth transition and the motion of the given action. As a result, MultiAct produces realistic long-term motion controlled by the given sequence of multiple action labels. The code is publicly available in https://github.com/TaeryungLee/MultiAct RELEASE.
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Lee, Byungseok, Donghwe Lee, and Seongah Chin. "Structural Motion Grammar for Universal Use of Leap Motion: Amusement and Functional Contents Focused." Journal of Sensors 2018 (2018): 1–15. http://dx.doi.org/10.1155/2018/6073786.
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Motions using Leap Motion controller are not standardized while the use of it is spreading in media contents. Each content defines its own motions, thereby creating confusion for users. Therefore, to alleviate user inconvenience, this study categorized the commonly used motion by Amusement and Functional Contents and defined the Structural Motion Grammar that can be universally used based on the classification. To this end, the Motion Lexicon was defined, which is a fundamental motion vocabulary, and an algorithm that enables real-time recognition of Structural Motion Grammar was developed. Moreover, the proposed method was verified by user evaluation and quantitative comparison tests.
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Kulbacki, Marek, Bartosz Jablonski, Ryszard Klempous, and Jakub Segen. "Learning from Examples and Comparing Models of Human Motion." Journal of Advanced Computational Intelligence and Intelligent Informatics 8, no. 5 (September 20, 2004): 477–81. http://dx.doi.org/10.20965/jaciii.2004.p0477.
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This paper addresses a problem of creating character animations from motion capture clips. The main problem we want to solve is partition set of primitive motions into appropriate groups according to similarity between motions. We construct motion models to easier extract features of given motions and make animation process more flexible. Using these models we propose measure of discrepancy between motions. Moreover it normalizes length of motions and decreases high dimension of considered motion data, so clustering may take place in dimensionally reduced space. In addition we examine different motion representations for the sake of the best clustering results.
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Ishiwata, Tetsuya. "Motion of spiral-shaped polygonal curves by nonlinear crystalline motion with a rotating tip motion." Mathematica Bohemica 140, no. 2 (2015): 111–19. http://dx.doi.org/10.21136/mb.2015.144318.
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Choi, Woong, Naoki Hashimoto, Ross Walker, Kozaburo Hachimura, and Makoto Sato. "Generation of Character Motion by Using Reactive Motion Capture System with Force Feedback." Journal of Advanced Computational Intelligence and Intelligent Informatics 12, no. 2 (March 20, 2008): 116–24. http://dx.doi.org/10.20965/jaciii.2008.p0116.
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Creating reactive motions with conventional motion capture systems is difficult because of the different task environment required. To overcome this drawback, we developed a reactive motion capture system that combines conventional motion capture system with force feedback and a human-scale virtual environment. Our objective is to make animation with reactive motion data generated from the interaction with force feedback and the virtual environment, using the fact that a person’s motions in the real world can be represented by the reactions of the person to real objects. In this paper we present the results of some animations made under various scenarios using animating reactive motion generation with our reactive motion capture system. Our results demonstrate that the reactive motion generated by this system was useful for producing the animation including scenes of reactive motion.
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Yang, Jonghyun, Jeongjun Park, and Changwan Yu. "Accuracy Verification of 3D Motion Analysis System Using Smart-phone Monocular Camera." Korean Journal of Sport Science 32, no. 4 (December 31, 2021): 464–71. http://dx.doi.org/10.24985/kjss.2021.32.4.464.
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PURPOSE This study aimed to verify the accuracy of three-dimensional (3D) motion data produced through artificial intelligence-based user motion recognition technology with images obtained using a smartphone monocular camera. This was done to explore the possibility of developing an application that can improve the reliability of the measurement of physical activity performing motions and feedback provision.METHODS To check the accuracy of the artificial intelligence-based 3D motion analysis system that utilized a semi-supervised learning method, a commercialized 3D infrared motion analysis system measured and compared motions on three movement planes, motions with limited joint movement, and fast motions in a wide moving range.RESULTS The motions on the coronal and sagittal planes produced through the 3D motion analysis application showed very high measurement accuracy; however, the accuracy of the measurement of motions on the horizontal plane, which could not be measured directly with a camera, was relatively lower than that of the coronal and sagittal planes. Accuracy in measuring 3D motion was moderate in moving motions and low in motions with limited joint movement.CONCLUSIONS For the developed 3D motion analysis system to be used in online physical education, the types of physical activities included in the program should be comprehensively composed through the analysis of the content system of the physical education curriculum and the resultant physical activities.
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Etemadpour, Ronak, and Angus Graeme Forbes. "Density-based motion." Information Visualization 16, no. 1 (July 26, 2016): 3–20. http://dx.doi.org/10.1177/1473871615606187.
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A common strategy for encoding multidimensional data for visual analysis is to use dimensionality reduction techniques that project data from higher dimensions onto a lower-dimensional space. This article examines the use of motion to retain an accurate representation of the point density of clusters that might otherwise be lost when a multidimensional dataset is projected into a two-dimensional space. Specifically, we consider different types of density-based motion, where the magnitude of the motion is directly related to the density of the clusters. We investigate how users interpret motion in two-dimensional scatterplots and whether or not they are able to effectively interpret the point density of the clusters through motion. We conducted a series of user studies with both synthetic and real-world datasets to explore how motion can help users in completing various multidimensional data analysis tasks. Our findings indicate that for some tasks, motion outperforms the static scatterplots; circular path motions in particular give significantly better results compared to the other motions. We also found that users were easily able to distinguish clusters with different densities as long the magnitudes of motion were above a particular threshold. Our results indicate that incorporating density-based motion into visualization analytics systems effectively enables the exploration and analysis of multidimensional datasets.
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Li, Peizhuo, Kfir Aberman, Zihan Zhang, Rana Hanocka, and Olga Sorkine-Hornung. "GANimator." ACM Transactions on Graphics 41, no. 4 (July 2022): 1–12. http://dx.doi.org/10.1145/3528223.3530157.
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We present GANimator, a generative model that learns to synthesize novel motions from a single, short motion sequence. GANimator generates motions that resemble the core elements of the original motion, while simultaneously synthesizing novel and diverse movements. Existing data-driven techniques for motion synthesis require a large motion dataset which contains the desired and specific skeletal structure. By contrast, GANimator only requires training on a single motion sequence, enabling novel motion synthesis for a variety of skeletal structures e.g. , bipeds, quadropeds, hexapeds, and more. Our framework contains a series of generative and adversarial neural networks, each responsible for generating motions in a specific frame rate. The framework progressively learns to synthesize motion from random noise, enabling hierarchical control over the generated motion content across varying levels of detail. We show a number of applications, including crowd simulation, key-frame editing, style transfer, and interactive control, which all learn from a single input sequence. Code and data for this paper are at https://peizhuoli.github.io/ganimator.
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Purnami, Ndaru Atmi. "Analisis Bifurkasi Persamaan Longitudinal pada Gerak Roket Tiga Dimensi Tipe RKX-Lapan." AVITEC 3, no. 2 (August 30, 2021): 149. http://dx.doi.org/10.28989/avitec.v3i2.1060.
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This article discusses about longitudinal equation for the three dimensional rocket motion of RKX-Lapan. The RKX-Lapan’s rocket is guided rocket which was designed using two phases, boosting and sustaining. The rocket has six degrees of freedom movement. The freedom movements consists of three translational motions and three rotational motions which causess unstable rocket movement. Therefore, stable rocket motion system is needed. The rocket motion system is three dimensional of nonlinear equation, thus linearization process of rocket motion equation is requaired. One of this linearization process is longitudinal motion which consists of two translational motions and one rotational motion. The equation of longitudinal motion has stabilization system analysist on sustaining phase. Bifurcation analysis of longitudinal equation for the three dimensional rocket motion of RKX-Lapan has been created in this article. It determined equilibria and its equation stability character. Furthermore, bifurcation analysist on equilibria and numerical simulation have been done to find out that bifurcation value indicated a topologically nonequivalent.
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Balasubramanyam, Adithya, Ashok Kumar Patil, Bharatesh Chakravarthi, Jae Yeong Ryu, and Young Ho Chai. "Motion-Sphere: Visual Representation of the Subtle Motion of Human Joints." Applied Sciences 10, no. 18 (September 16, 2020): 6462. http://dx.doi.org/10.3390/app10186462.
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Understanding and differentiating subtle human motion over time as sequential data is challenging. We propose Motion-sphere, which is a novel trajectory-based visualization technique, to represent human motion on a unit sphere. Motion-sphere adopts a two-fold approach for human motion visualization, namely a three-dimensional (3D) avatar to reconstruct the target motion and an interactive 3D unit sphere, that enables users to perceive subtle human motion as swing trajectories and color-coded miniature 3D models for twist. This also allows for the simultaneous visual comparison of two motions. Therefore, the technique is applicable in a wide range of applications, including rehabilitation, choreography, and physical fitness training. The current work validates the effectiveness of the proposed work with a user study in comparison with existing motion visualization methods. Our study’s findings show that Motion-sphere is informative in terms of quantifying the swing and twist movements. The Motion-sphere is validated in threefold ways: validation of motion reconstruction on the avatar, accuracy of swing, twist, and speed visualization, and the usability and learnability of the Motion-sphere. Multiple range of motions from an online open database are selectively chosen, such that all joint segments are covered. In all fronts, Motion-sphere fares well. Visualization on the 3D unit sphere and the reconstructed 3D avatar make it intuitive to understand the nature of human motion.
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Emadi, Azadeh. "Motion within Motion." Leonardo 49, no. 5 (October 2016): 459. http://dx.doi.org/10.1162/leon_a_01299.
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Luo, A. C. J., and Y. Guo. "Motion Switching and Chaos of a Particle in a Generalized Fermi-Acceleration Oscillator." Mathematical Problems in Engineering 2009 (2009): 1–40. http://dx.doi.org/10.1155/2009/298906.
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Dynamic behaviors of a particle (or a bouncing ball) in a generalized Fermi-acceleration oscillator are investigated. The motion switching of a particle in the Fermi-oscillator causes the complexity and unpredictability of motion. Thus, the mechanism of motion switching of a particle in such a generalized Fermi-oscillator is studied through the theory of discontinuous dynamical systems, and the corresponding analytical conditions for the motion switching are developed. From solutions of linear systems in subdomains, four generic mappings are introduced, and mapping structures for periodic motions can be constructed. Thus, periodic motions in the Fermi-acceleration oscillator are predicted analytically, and the corresponding local stability and bifurcations are also discussed. From the analytical prediction, parameter maps of periodic and chaotic motions are achieved for a global view of motion behaviors in the Fermi-acceleration oscillator. Numerical simulations are carried out for illustrations of periodic and chaotic motions in such an oscillator. In existing results, motion switching in the Fermi-acceleration oscillator is not considered. The motion switching for many motion states of the Fermi-acceleration oscillator is presented for the first time. This methodology will provide a useful way to determine dynamical behaviors in the Fermi-acceleration oscillator.
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Yoshida, Eiichi, Satoshi Murata, Akiya Kamimura, Kohji Tomita, Haruhisa Kurokawa, and Shigeru Kokaji. "Motion Generation for a Modular Robot." Journal of Robotics and Mechatronics 14, no. 2 (April 20, 2002): 177–85. http://dx.doi.org/10.20965/jrm.2002.p0177.
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We discuss motion generation of a homogeneous modular robot called a Modular Transformer (M-TRAN). Modules are designed to be self-reconfigurable so a collection of modules can transform itself into a robotic structure. The motion generation of the self-reconfigurable robot presents a computationally difficult problem due to the many combinatorial possibilities for the module configuration, even though the module itself is simple, with 2 degrees of freedom. We describe a motion generation for a class of multimodule structures based on a motion planner and a motion scheduler. The motion planner has 2 layers, with a global planner to plan overall movement of the cluster and a local planner to determine locally coordinated module motions, called motion schemes. After motion is generated as a sequence of single motion schemes, the motion scheduler processes the output plan to allow parallel motions to improve efficiency. The effectiveness of the motion generator is verified through a multiple-module simulation.
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Kawamura, Hidenori, Hisao Kadota, Masahito Yamamoto, Toshihiko Takaya, and Azuma Ohuchi. "Motion Design for Indoor Blimp Robot with PID Controller." Journal of Robotics and Mechatronics 17, no. 5 (October 20, 2005): 500–508. http://dx.doi.org/10.20965/jrm.2005.p0500.
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We report on motion design for indoor applications. Blimp robots have potential applications in monitoring, surveillance, overhead advertising, and entertainment. Since blimps are greatly influenced by airstreams and inertia during movement, researchers are widely studying control design focusing on basic motions such as hovering, rotation, and straight-line motion. We focused on motions attained by combining basic motions in motion design because different motions derived for applications are achievable by continuously combining basic motions. The results of experiments demonstrated that different motions are expressed as required.
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Li, Hai, Hwa Jen Yap, and Selina Khoo. "Motion Classification and Features Recognition of a Traditional Chinese Sport (Baduanjin) Using Sampled-Based Methods." Applied Sciences 11, no. 16 (August 19, 2021): 7630. http://dx.doi.org/10.3390/app11167630.
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This study recognized the motions and assessed the motion accuracy of a traditional Chinese sport (Baduanjin), using the data from the inertial sensor measurement system (IMU) and sampled-based methods. Fifty-three participants were recruited in two batches to participate in the study. Motion data of participants practicing Baduanjin were captured by IMU. By extracting features from motion data and benchmarking with the teacher’s assessment of motion accuracy, this study verifies the effectiveness of assessment on different classifiers for motion accuracy of Baduanjin. Moreover, based on the extracted features, the effectiveness of Baduanjin motion recognition on different classifiers was verified. The k-Nearest Neighbor (k-NN), as a classifier, has advantages in accuracy (more than 85%) and a short average processing time (0.008 s) during assessment. In terms of recognizing motions, the classifier One-dimensional Convolutional Neural Network (1D-CNN) has the highest accuracy among all verified classifiers (99.74%). The results show, using the extracted features of the motion data captained by IMU, that selecting an appropriate classifier can effectively recognize the motions and, hence, assess the motion accuracy of Baduanjin.
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Phan, Gia-Hoang, Clint Hansen, Paolo Tommasino, Asif Hussain, Domenico Formica, and Domenico Campolo. "A Complementary Filter Design on SE(3) to Identify Micro-Motions during 3D Motion Tracking." Sensors 20, no. 20 (October 16, 2020): 5864. http://dx.doi.org/10.3390/s20205864.
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In 3D motion capture, multiple methods have been developed in order to optimize the quality of the captured data. While certain technologies, such as inertial measurement units (IMU), are mostly suitable for 3D orientation estimation at relatively high frequencies, other technologies, such as marker-based motion capture, are more suitable for 3D position estimations at a lower frequency range. In this work, we introduce a complementary filter that complements 3D motion capture data with high-frequency acceleration signals from an IMU. While the local optimization reduces the error of the motion tracking, the additional accelerations can help to detect micro-motions that are useful when dealing with high-frequency human motions or robotic applications. The combination of high-frequency accelerometers improves the accuracy of the data and helps to overcome limitations in motion capture when micro-motions are not traceable with 3D motion tracking system. In our experimental evaluation, we demonstrate the improvements of the motion capture results during translational, rotational, and combined movements.
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Noguchi, Mika, Masato Yamada, and Hideyuki Sawada. "Analysis of different self-propulsion types of oil droplets based on electrostatic interaction effects." RSC Advances 12, no. 29 (2022): 18354–62. http://dx.doi.org/10.1039/d2ra02076a.
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We found that the correlated motion of two oil droplets was classified into three self-propelled motions (follow-up motion, parallel motion, and repulsive motion) depending on the pH of the aqueous solution.
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Allersma, Miriam W., Mary A. Bittner, Daniel Axelrod, and Ronald W. Holz. "Motion Matters: Secretory Granule Motion Adjacent to the Plasma Membrane and Exocytosis." Molecular Biology of the Cell 17, no. 5 (May 2006): 2424–38. http://dx.doi.org/10.1091/mbc.e05-10-0938.
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Total internal reflection fluorescence microscopy was used to monitor changes in individual granule motions related to the secretory response in chromaffin cells. Because the motions of granules are very small (tens of nanometers), instrumental noise in the quantitation of granule motion was taken into account. ATP and Ca2+, both of which prime secretion before fusion, also affect granule motion. Removal of ATP in permeabilized cells causes average granule motion to decrease. Nicotinic stimulation causes a calcium-dependent increase in average granule motion. This effect is more pronounced for granules that undergo exocytosis than for those that do not. Fusion is not preceded by a reduction in mobility. Granules sometimes move 100 nm or more up to and within a tenth of a second before fusion. Thus, the jittering motion of granules adjacent to the plasma membrane is regulated by factors that regulate secretion and may play a role in secretion. Motion continues until shortly before fusion, suggesting that interaction of granule and plasma membrane proteins is transient. Disruption of actin dynamics did not significantly alter granule motion.
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Choi, Young-Ju, Dong-San Jun, Won-Sik Cheong, and Byung-Gyu Kim. "Design of Efficient Perspective Affine Motion Estimation/Compensation for Versatile Video Coding (VVC) Standard." Electronics 8, no. 9 (September 5, 2019): 993. http://dx.doi.org/10.3390/electronics8090993.
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The fundamental motion model of the conventional block-based motion compensation in High Efficiency Video Coding (HEVC) is a translational motion model. However, in the real world, the motion of an object exists in the form of combining many kinds of motions. In Versatile Video Coding (VVC), a block-based 4-parameter and 6-parameter affine motion compensation (AMC) is being applied. In natural videos, in the majority of cases, a rigid object moves without any regularity rather than maintains the shape or transform with a certain rate. For this reason, the AMC still has a limit to compute complex motions. Therefore, more flexible motion model is desired for new video coding tool. In this paper, we design a perspective affine motion compensation (PAMC) method which can cope with more complex motions such as shear and shape distortion. The proposed PAMC utilizes perspective and affine motion model. The perspective motion model-based method uses four control point motion vectors (CPMVs) to give degree of freedom to all four corner vertices. Besides, the proposed algorithm is integrated into the AMC structure so that the existing affine mode and the proposed perspective mode can be executed adaptively. Because the block with the perspective motion model is a rectangle without specific feature, the proposed PAMC shows effective encoding performance for the test sequence containing irregular object distortions or dynamic rapid motions in particular. Our proposed algorithm is implemented on VTM 2.0. The experimental results show that the BD-rate reduction of the proposed technique can be achieved up to 0.45% and 0.30% on Y component for random access (RA) and low delay P (LDP) configurations, respectively.
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Kim, Seon-Jae, and Youn-Sik Park. "Self-motion utilization for reducing vibration of a structurally flexible redundant robot manipulator system." Robotica 16, no. 6 (November 1998): 669–77. http://dx.doi.org/10.1017/s0263574798000770.
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This paper focuses on overcoming the problem of tracking control in structurally flexible redundant manipulators by utilizing their self-motion capabilities. In the proposed algorithm, the self-motion is evaluated in order to nullify the dominant modal force of flexural motion that is induced by a rigid body motion.The flexure motions of manipulators, which are induced by joint motion, cause undesired inaccuracy in end-effector tracking. In-plath planning states, joint trajectories are so designed as not to excite but to damp out the flexure motions. The self-motion, inherent in redundant manipulators, can alter joint motion, influencing the flexure motion (by exciting and damping the flexure modes), while not affecting end-effector motion at all. Therefore, the self-motion can be utilized to regulate flexibility and effectively reduce the end-effector tracking error.The effectiveness and applicability of the proposed algorithm have been demonstrated through numerical simulation with three-link planar robotic manipulators possessing flexible links.
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Zhao, Guo Hui, Wen Hua Zhang, and Jian Hui Zhao. "Study on Seismic Response and Countermeasures of Long Span Cable-Stayed Bridge under Long Period Ground Motion." Applied Mechanics and Materials 71-78 (July 2011): 3841–44. http://dx.doi.org/10.4028/www.scientific.net/amm.71-78.3841.
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Long period ground motion has great influence on long period structures such as large oil tank, high-rise building and long span bridge. In this paper, a long span cable-stayed bridge is taken as an example to study the seismic response of long period structure under long period ground motions and conventional ground motions by using nonlinear dynamic time history method. It is shown that although the peak acceleration of the long period ground motions are no more than half of conventional ground motions, the displacement and force response of the bridge at key points under long period ground motions are much greater than that of conventional ground motions. Constraint cables and fluid viscous dampers are used to reduce in the influence of long period ground motion of the bridge, and the effects of the two countermeasures are also analyzed in this paper. The results show that constraint cables have unstable effect and even negative effect under long period ground motion. While fluid viscous dampers have stable effect under both long period ground motion and conventional ground motion with proper damping parameters.
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Song, Seok Goo, Mathieu Causse, and Jeff Bayless. "Sensitivity Analysis of the Interfrequency Correlation of Synthetic Ground Motions to Pseudodynamic Source Models." Seismological Research Letters 92, no. 1 (September 30, 2020): 301–13. http://dx.doi.org/10.1785/0220200181.
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Abstract Given the deficiency of recorded strong ground-motion data, it is important to understand the effects of earthquake rupture processes on near-source ground-motion characteristics and to develop physics-based ground-motion simulation methods for advanced seismic hazard assessments. Recently, the interfrequency correlation of ground motions has become an important element of ground-motion predictions. We investigate the effect of pseudodynamic source models on the interfrequency correlation of ground motions by simulating a number of ground-motion waveforms for the 1994 Northridge, California, earthquake, using the Southern California Earthquake Center Broadband Platform. We find that the cross correlation between earthquake source parameters in pseudodynamic source models significantly affects the interfrequency correlation of ground motions in the frequency around 0.5 Hz, whereas its effect is not visible in the other frequency ranges. Our understanding of the effects of earthquake sources on the characteristics of near-source ground motions, particularly the interfrequency correlation, may help develop advanced physics-based ground-motion simulation methods for advanced seismic hazard and risk assessments.
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Wang, Y. Z. "Motion and stability of caisson breakwaters under breaking wave impact." Canadian Journal of Civil Engineering 28, no. 6 (December 1, 2001): 960–68. http://dx.doi.org/10.1139/l01-040.
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The possible motions of caisson breakwaters under dynamic load excitation include vibrating motion, vibratingsliding motion, and vibratingrocking motion. Three models are presented in this paper and are used to simulate the histories of vibratingslidingrocking motions of caissons under breaking wave impact. The effect of the dynamic characteristics of the caissonfoundation system and the motions on the displacement, rotation, sliding force, and overturning moment of caissons are investigated. It is shown that the sliding force of the caisson is different from the breaking wave force directly acting on the caisson due to the motion of the caisson and the sliding motion or rocking motion of the caisson can limit the sliding force or overturning moment of the caisson to a certain value. The sliding force never exceeds the friction force between the caisson and the foundation, and the overturning moment never exceeds the stability moment of the caisson. It is concluded that the wave conditions, the dynamic characteristics, and the motions of the caissonfoundation system should be considered in design.Key words: caisson breakwater, breaking wave, vibrating, sliding, rocking.
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Hoang, Nhat M., Kehong Gong, Chuan Guo, and Michael Bi Mi. "MotionMix: Weakly-Supervised Diffusion for Controllable Motion Generation." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 3 (March 24, 2024): 2157–65. http://dx.doi.org/10.1609/aaai.v38i3.27988.
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Controllable generation of 3D human motions becomes an important topic as the world embraces digital transformation. Existing works, though making promising progress with the advent of diffusion models, heavily rely on meticulously captured and annotated (e.g., text) high-quality motion corpus, a resource-intensive endeavor in the real world. This motivates our proposed MotionMix, a simple yet effective weakly-supervised diffusion model that leverages both noisy and unannotated motion sequences. Specifically, we separate the denoising objectives of a diffusion model into two stages: obtaining conditional rough motion approximations in the initial T-T* steps by learning the noisy annotated motions, followed by the unconditional refinement of these preliminary motions during the last T* steps using unannotated motions. Notably, though learning from two sources of imperfect data, our model does not compromise motion generation quality compared to fully supervised approaches that access gold data. Extensive experiments on several benchmarks demonstrate that our MotionMix, as a versatile framework, consistently achieves state-of-the-art performances on text-to-motion, action-to-motion, and music-to-dance tasks.
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Gao, Quanfu, and Xingxiao Cao. "The Stick-Slip Vibration and Bifurcation of a Vibro-Impact System with Dry Friction." Open Mechanical Engineering Journal 8, no. 1 (September 16, 2014): 308–13. http://dx.doi.org/10.2174/1874155x01408010308.
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In this paper, the periodic motion, bifurcation and chatter of two-degree-of-freedom vibratory system with dry friction and clearance were studied. Slip-stick motion and the impact of system motions were analyzed and numerical simulations were also carried out. The results showed that the system possesses rich dynamics characterized by periodic motion, stick-slip-impact motion, quasi-periodic motion and chaotic attractors, and the routs from periodic motions to chaos observed via Hof bifurcation or period-doubling bifurcation. Furthermore, it was found that there exists the chatter phenomena induced by dry friction in low frequency, and the windows of chaotic motion are broadened in the area of higher excitation frequencies as the dry friction increases.
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Li, Hai, Selina Khoo, and Hwa Jen Yap. "Implementation of Sequence-Based Classification Methods for Motion Assessment and Recognition in a Traditional Chinese Sport (Baduanjin)." International Journal of Environmental Research and Public Health 19, no. 3 (February 3, 2022): 1744. http://dx.doi.org/10.3390/ijerph19031744.
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This study aimed to assess the motion accuracy of Baduanjin and recognise the motions of Baduanjin based on sequence-based methods. Motion data of Baduanjin were measured by the inertial sensor measurement system (IMU). Fifty-four participants were recruited to capture motion data. Based on the motion data, various sequence-based methods, namely dynamic time warping (DTW) combined with classifiers, hidden Markov model (HMM), and recurrent neural networks (RNNs), were applied to assess motion accuracy and recognise the motions of Baduanjin. To assess motion accuracy, the scores for motion accuracies from teachers were used as the standard to train the models on the different sequence-based methods. The effectiveness of Baduanjin motion recognition with different sequence-based methods was verified. Among the methods, DTW + k-NN had the highest average accuracy (83.03%) and shortest average processing time (3.810 s) during assessing. In terms of motion reorganisation, three methods (DTW + k-NN, DTW + SVM, and HMM) had the highest accuracies (over 99%), which were not significantly different from each other. However, the processing time of DTW + k-NN was the shortest (3.823 s) compared to the other two methods. The results show that the motions of Baduanjin could be recognised, and the accuracy can be assessed through an appropriate sequence-based method with the motion data captured by IMU.
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Chou, Jui-Ching. "Effects of Vertical Motion on Uplift of Underground Structure Induced by Soil Liquefaction." Applied Sciences 14, no. 12 (June 12, 2024): 5098. http://dx.doi.org/10.3390/app14125098.
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The uplift of underground structures induced by soil liquefaction can damage underground structure systems. Numerical simulations have shown that uplift is positively correlated with the energy of horizontal input motion. However, the effects of vertical input motion on uplift have not been studied comprehensively in the past. Previous studies on the vertical motion concluded that the effects of vertical motion on uplift depend on the overall characteristics of earthquake motion. These motion characteristics have only been studied separately in previous studies. A comprehensive study to explore the interactions and overall effects of these characteristics on the uplift of underground structures is essential. In this study, the FLAC program with the PM4Sand model was used as a numerical tool to explore the effects of vertical input motion on the uplift of underground structures. The numerical model was calibrated using centrifuge test results, and 48 earthquake motions were selected as input motions to study the effects of the overall characteristics of earthquake motions on the uplift of underground structures. The simulation results show that the frequency content characteristics of horizontal and vertical motion are the major factors affecting the uplift magnitude and the responses of liquefiable soils. However, most simulation cases show that the inclusion of vertical motion causes a 10% difference in the tunnel uplift, compared to cases without vertical motion.
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Li, Weiyu, Xuelin Chen, Peizhuo Li, Olga Sorkine-Hornung, and Baoquan Chen. "Example-based Motion Synthesis via Generative Motion Matching." ACM Transactions on Graphics 42, no. 4 (July 26, 2023): 1–12. http://dx.doi.org/10.1145/3592395.
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We present GenMM, a generative model that "mines" as many diverse motions as possible from a single or few example sequences. In stark contrast to existing data-driven methods, which typically require long offline training time, are prone to visual artifacts, and tend to fail on large and complex skeletons, GenMM inherits the training-free nature and the superior quality of the well-known Motion Matching method. GenMM can synthesize a high-quality motion within a fraction of a second, even with highly complex and large skeletal structures. At the heart of our generative framework lies the generative motion matching module, which utilizes the bidirectional visual similarity as a generative cost function to motion matching, and operates in a multi-stage framework to progressively refine a random guess using exemplar motion matches. In addition to diverse motion generation, we show the versatility of our generative framework by extending it to a number of scenarios that are not possible with motion matching alone, including motion completion, key frame-guided generation, infinite looping, and motion reassembly.
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Park, Min Je, Min Gyu Choi, Yoshihisa Shinagawa, and Sung Yong Shin. "Video-guided motion synthesis using example motions." ACM Transactions on Graphics 25, no. 4 (October 2006): 1327–59. http://dx.doi.org/10.1145/1183287.1183291.
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Bocheva, Nadejda. "Detection of motion discontinuities between complex motions." Vision Research 46, no. 1-2 (January 2006): 129–40. http://dx.doi.org/10.1016/j.visres.2005.06.037.
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Li, Bo, Qinghui Lai, Endong Guo, Chenxi Mao, and Xiaofei Li. "Determining the Optimal Scalar Intensity Measure of Floor Communication Towers." Shock and Vibration 2022 (February 23, 2022): 1–12. http://dx.doi.org/10.1155/2022/6347334.
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Various structural types and ground motion characteristics lead to distinct intensity measures of structural seismic performance. For the lattice high-rise steel structure of communication towers, determining the intensity measures to adjust ground motion is critical. Additionally, a crucial problem is whether the ground motion intensity parameters of pulse-like ground motion and ordinary ground motion are consistent. In this study, a standard floor four-leg angle steeled communication tower was considered the study object, and 50 pulse-like ground motions and 50 ordinary ground motions were identified to form a pulse-like ground motion set and ordinary ground motion set, respectively. For comparative analyses, 15 ground motion parameters, including amplitude, spectrum, duration, and energy parameters, were selected. The results revealed that for the lattice towers, such as communication tower, under the action of pulse-like ground motion or ordinary ground motion, efficiency, practicability, and sufficiency should be considered. Furthermore, the most suitable intensity measure was the spectral acceleration corresponding to the natural period of the tower. This study provides a basis for selecting the ground motion for dynamic time history analysis of the lattice steel tower.
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Georgiou, I. T., and I. B. Schwartz. "Slaving the In-Plane Motions of a Nonlinear Plate to Its Flexural Motions: An Invariant Manifold Approach." Journal of Applied Mechanics 64, no. 1 (March 1, 1997): 175–82. http://dx.doi.org/10.1115/1.2787270.
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We show that the in-plane motions of a nonlinear isotropic plate can be decoupled from its transverse motions. We demonstrate this decoupling by showing analytically and numerically the existence of a global nonlinear invariant manifold in the phase space of three nonlinearly coupled fundamental oscillators describing the amplitudes of the coupled fundamental modes. The invariant manifold carries a continuum of slow periodic motions. In particular, for any motion on the slow invariant manifold, the transverse oscillator executes a periodic motion and it slaves the in-plane oscillators into periodic motions of half its period. Furthermore, as the energy level of a motion on the slow manifold increases, the frequency of the largest harmonic of the in-plane motion approaches the in-plane natural frequencies.
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Osugi, Takayuki, and Jun I. Kawahara. "Effects of Head Nodding and Shaking Motions on Perceptions of Likeability and Approachability." Perception 47, no. 1 (September 24, 2017): 16–29. http://dx.doi.org/10.1177/0301006617733209.
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It has been demonstrated that bowing motion of computer-generated female three-dimensional figures enhanced perceived attractiveness. Given that nodding and shaking head motions are used as communicative signals, such as signals of approval (and denial), these motions could be expected to modulate perceived trait impressions of model faces. We used movie clips of the nodding and shaking head motions of computer-generated figures and examined the modulation effects of these motions on perceived trait impressions (i.e., attractiveness, likability, and approachability). The results showed that the nodding head motion significantly increased ratings of subjective likability and approachability relative to those of the shaking or control conditions, whereas the shaking motion did not influence the ratings. Furthermore, it was shown that a nodding head motion of the computer-generated models primarily increased likability attributable to personality traits, rather than to physical appearance. We concluded that head nodding motion is treated as information regarding approach-related motivations and enhances perceived likeability.