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Готові списки джерел за темами / Smoothness of motion

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Добірка наукової літератури з теми "Smoothness of motion"

Автор: Grafiati

Опубліковано: 30 травня 2022

Оновлено: 31 липня 2025

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Статті в журналах з теми "Smoothness of motion"

1

WEN, Chung-Lin, Bing-Yu CHEN, and Yoichi SATO. "Video Segmentation with Motion Smoothness." IEICE Transactions on Information and Systems E93-D, no. 4 (2010): 873–81. http://dx.doi.org/10.1587/transinf.e93.d.873.

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2

Luo, Jiayuan, Xiangyang Xu, Peitang Wei, Chengxiang Shi, and Guofeng Liu. "Machining Path Optimization of 3C Locking Robots Using Adaptive Ant Colony Optimization." Mobile Information Systems 2021 (September 27, 2021): 1–12. http://dx.doi.org/10.1155/2021/2642805.

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The motion smoothness of 3C locking robot directly affects the machining performance. Improving the motion smoothness can optimize the motion trajectory and reduce the processing time. In this paper, a novel machining path optimization model including motion smoothness is built by employing the coordinate boundary of velocity and acceleration after evaluating the machining motion smoothness of the 3C locking robot. Secondly, based on the creation of the ant colony of adaptive function algorithm, the optimization model of the 3C locking robot in the situation of fixed bolt hole position and flo

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3

Scano, Alessandro, Cristina Brambilla, Henning Müller, and Manfredo Atzori. "Mapping of the Upper Limb Work-Space: Benchmarking Four Wrist Smoothness Metrics." Applied Sciences 12, no. 24 (2022): 12643. http://dx.doi.org/10.3390/app122412643.

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Smoothness is a commonly used measure of motion control. Physiological motion is characterized by high smoothness in the upper limb workspace. Moreover, there is evidence that smoothness-based models describe effectively skilled motion planning. Typical smoothness measures are based on wrist kinematics. Despite smoothness being often used as a measure of motor control and to evaluate clinical pathologies, so far, a smoothness map is not available for the whole workspace of the upper limb. In this work, we provide a map of the upper limb workspace comparing four smoothness metrics: the normaliz

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4

Zhu, Libin, and Lihui Liu. "Effect Measurement for Human Motion Rehabilitation Training Using Improved Deep Reinforcement Learning and IoT Networks." Security and Communication Networks 2022 (June 22, 2022): 1–9. http://dx.doi.org/10.1155/2022/3548675.

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Measuring the effect of human motion rehabilitation training is important to help persons develop motion rehabilitation training plans. The current human motion rehabilitation training effect measurement algorithm has the problems of too large gap between the smoothness of the motion speed curve and the reality, high key frame extraction error rate, low measurement accuracy, long measurement time, and low satisfaction. Therefore, this paper proposes a human motion rehabilitation training effect measurement algorithm using improved deep reinforcement learning and Internet of Things (IoT) networ

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5

Behboodi, Ahad, Ashwini Sansare, and Samuel C. K. Lee. "Quantification of Cycling Smoothness in Children with Cerebral Palsy." Biomechanics 3, no. 1 (2023): 79–92. http://dx.doi.org/10.3390/biomechanics3010008.

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Smoothness is a hallmark of skilled, coordinated movement, however, mathematically quantifying movement smoothness is nuanced. Several smoothness metrics exist, each having its own limitations and may be specific to a particular motion such as upper limb reaching. To date, there is no consensus on which smoothness metric is the most appropriate for assessing cycling motion in children with cerebral palsy (CP). We evaluated the ability of four preexisting metrics, dimensionless jerk, spectral arc length measure, roughness index, and cross-correlation; and two new metrics, arc length and root me

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6

Siti, Nor Zawani Ahmmad, Su Lee Ming Eileen, and Che Fai Yeong. "Effect of Intermittent Haptic Disturbance in Motor Skill Training." Applied Mechanics and Materials 432 (September 2013): 403–8. http://dx.doi.org/10.4028/www.scientific.net/amm.432.403.

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The aim of this study is to evaluate the effectiveness of haptic disturbance where the intermittent force field will applied in training motor skill. A test group (4 subjects) was trained using intermittent divergent force field while a control group (4 subjects) was trained in null force field. The parameter such as error trajectories, motion smoothness and the trial time were measured and a statistical analysis was done in order to identify motion improvement when using the proposed training method. Both groups showed motion improvement in reducing mean error, mean number of zero crossing (i

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7

Ajayi, Joseph O. "Fabric Smoothness, Friction, and Handle." Textile Research Journal 62, no. 1 (1992): 52–59. http://dx.doi.org/10.1177/004051759206200108.

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In general investigation of factional properties of fabrics, we demonstrate the influence of experimental variables on some new frictional parameters. Subjectively, fabrics with similar (or different) coefficients of friction yield different (or similar) tactile sensations of smoothness. Objectively, an examination of the stick-slip motion shows a good correlation between the number of stick-slip peaks and yarn sett (woven fabrics) or number of ribs (knitted fabrics). A relation also exists between the amplitude of the stick-slip motion and some structural protrusions, i.e., twills and ribs. T

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8

Ghalenoei, E., M. A. Sharifi, and M. Hasanlou. "Investigation of Optical Flow Techniques for Extracting Non-Rigid Sea Surface Currents." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-2/W3 (October 22, 2014): 121–26. http://dx.doi.org/10.5194/isprsarchives-xl-2-w3-121-2014.

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This paper is about performance evaluation of two optical flow (OF) methods for extracting sea surface curved motions like eddies. By incorporating a simple matrix and its rotation in programming procedure, curved motion can be obtained. These two OF methods are Horn/Schunk and Lucas/Kanade. The Horn/Schunk method depends on a smoothness parameter (α) and when it changes, smoothness and reality change too. The Lucas/Kanade method is more complex than previous one. It depends on two parameters, smoothness parameter (Sigma) and window size (Win). Different values for Win and Sigma change smoothn

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9

Aghazadeh, Farzad, Bin Zheng, Mahdi Tavakoli, and Hossein Rouhani. "Motion Smoothness-Based Assessment of Surgical Expertise: The Importance of Selecting Proper Metrics." Sensors 23, no. 6 (2023): 3146. http://dx.doi.org/10.3390/s23063146.

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The smooth movement of hand/surgical instruments is considered an indicator of skilled, coordinated surgical performance. Jerky surgical instrument movements or hand tremors can cause unwanted damages to the surgical site. Different methods have been used in previous studies for assessing motion smoothness, causing conflicting results regarding the comparison among surgical skill levels. We recruited four attending surgeons, five surgical residents, and nine novices. The participants conducted three simulated laparoscopic tasks, including peg transfer, bimanual peg transfer, and rubber band tr

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10

Shimojima, Hiroshi, Shinya Kijimoto, Osamu Sato, Shigeru Maeda, and Atushi Saito. "Evaluation of the Smoothness of Human Motion." Transactions of the Japan Society of Mechanical Engineers Series C 59, no. 562 (1993): 1803–8. http://dx.doi.org/10.1299/kikaic.59.1803.

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Більше джерел

Дисертації з теми "Smoothness of motion"

1

Kozhushko, A. P., and K. Riezva. "Comparison a running smoothness of a wheeled tractor with a semitrailer tank or unit while driving on asphalt-concrete surface." Thesis, Scientific Route, Estonia, 2019. http://repository.kpi.kharkov.ua/handle/KhPI-Press/46135.

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2

Monroy, Agamez Ernesto Eduardo. "The role of motion smoothness, synchrony, and culture in aesthetic perception of human movement : from the method of production to the method of choice." Thesis, Brunel University, 2018. http://bura.brunel.ac.uk/handle/2438/16426.

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Research on aesthetic perception of dance has been recently generating considerable interest within the field of Psychology of Aesthetics. There are, however, a number of methodological and conceptual gaps in our knowledge such as the application of the method of production, as well as understanding the role of motion smoothness, synchronous movement, and cultural factors in aesthetic perception. The present basic research addresses those gaps through five psychological experiments. In study 1, participants generated static sequences of images according their preference. Smooth continuation of

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3

Мамонтов, Анатолій Геннадійович. "Поліпшення показників плавності ходу та динамічної навантаженості ходових систем колісних тракторів на транспортних роботах". Thesis, Національний технічний університет "Харківський політехнічний інститут", 2019. http://repository.kpi.kharkov.ua/handle/KhPI-Press/42966.

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Анотація:

Дисертація на здобуття наукового ступеня кандидата технічних наук за спеціальністю 05.22.02 – автомобілі та трактори. – Національний технічний університет "Харківський політехнічний інститут", Харків, 2019 р. Дисертація присвячена поліпшенню експлуатаційних властивостей колісного трактора в агрегаті з напівпричепом при русі на транспортних режимах за рахунок обладнання переднього моста комбінованою пневморесорною підвіскою та визначення її раціональних параметрів. Для вирішення поставленої задачі в роботі проаналізовані сучасні тенденції використання колісних тракторів під час перевезення вант

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4

Мамонтов, Анатолій Геннадійович. "Поліпшення показників плавності ходу та динамічної навантаженості ходових систем колісних тракторів на транспортних роботах". Thesis, Національний технічний університет "Харківський політехнічний інститут", 2019. http://repository.kpi.kharkov.ua/handle/KhPI-Press/42962.

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Дисертація на здобуття наукового ступеня кандидата технічних наук за спеціальністю 05.22.02 – автомобілі та трактори. – Національний технічний університет "Харківський політехнічний інститут", Харків, 2019 р. Дисертація присвячена поліпшенню експлуатаційних властивостей колісного трактора в агрегаті з напівпричепом при русі на транспортних режимах за рахунок обладнання переднього моста комбінованою пневморесорною підвіскою та визначення її раціональних параметрів. Складено узагальнену математичну модель поздовжньо-кутових, вертикальних та поздовжніх коливань машино-тракторного агрегату на базі

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5

Yuille, Alan, and Shimon Ullman. "Rigidity and Smoothness of Motion." 1987. http://hdl.handle.net/1721.1/6062.

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sMany theories of structure from motion divide the process into twosparts which are solved using different assumptions. Smoothness of thesvelocity field is often assumed to solve the motion correspondencesproblem, and then rigidity is used to recover the 3D structure. Wesprove results showing that, in a statistical sense, smoothness of thesvelocity field follows from rigidity of the motion.

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6

Wen, Chung-Lin, and 文宗麟. "Video Segmentation with Motion Smoothness." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/71109065537933311117.

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碩士<br>國立臺灣大學<br>資訊工程學研究所<br>97<br>In this thesis, we present an interactive graph cut based video segmenta- tion system. Recently, graph cut based segmentation tools become prevelant for image/video segmentation problem. However, most of the previous works deal with color information only. Such systems could fail under the condition that there are regions similar in color between foreground and background. Unfortunately, it is usutally hard to avoid. Especially when the objects are filmed under a natural environment. To make it more pratical to use, we propose criterion other than color to con

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7

Lee, Wan-Ju, and 李宛儒. "Assessing the Bicycle Route Riding Smoothness by Bicycle Motion Analysis Model." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/63657780586634718559.

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碩士<br>國立臺灣大學<br>土木工程學研究所<br>103<br>This study focuses on the development of equipment for measuring riding smoothness along bicycle routes. In addition, a bicycle motion analysis model was also developed and verified for conducting effective and efficient assessment of riding smoothness. In recent years, carbon reduction is a very important environmental protection issue for all countries, and one of the major strategic plans is to promote green transportation. Construction of a large number of bicycle routes within cities is one of the most important working tasks, but no criteria regarding p

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Книги з теми "Smoothness of motion"

1

Vasil'ev, Oleg, Evgeniy Achkasov, and Andrey Rohlin. Smoothness and geometry of movement in neurorehabilitation (formalization of quality of life assessment). INFRA-M Academic Publishing LLC., 2024. https://doi.org/10.12737/2137588.

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The monograph is aimed at improving the quality of medical rehabilitation using digital information technologies. The monograph presents an interdisciplinary system-structural analysis of one of the promising areas in the field of neurorehabilitation — the assessment of smoothness and geometry of motion, which may be little known to the domestic reader. All the above mathematical models and formulas have been analyzed and brought to a single designation. In conclusion, the authors present their generalizing point of view and provide their own materials in the field of another promising area —

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Частини книг з теми "Smoothness of motion"

1

Mozerov, Mikhail, and Vitaly Kober. "A Robust Matching Algorithm Based on Global Motion Smoothness Criterion." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11578079_31.

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2

Yang, Yang, Howard Leung, Lihua Yue, and Liqun Deng. "Evaluating Human Motion Complexity Based on Un-Correlation and Non-smoothness." In Advances in Multimedia Information Processing - PCM 2010. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15696-0_50.

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3

Yu, Jason J., Adam W. Harley, and Konstantinos G. Derpanis. "Back to Basics: Unsupervised Learning of Optical Flow via Brightness Constancy and Motion Smoothness." In Lecture Notes in Computer Science. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49409-8_1.

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4

Huang, Shiling, and Meiyan Li. "MSI-Net: Multi-Scale Integration Network for Accurate and Robust Optical Flow Estimation." In Advances in Transdisciplinary Engineering. IOS Press, 2025. https://doi.org/10.3233/atde250124.

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Анотація:

Optical flow estimation is a crucial task in computer vision, aiming to infer motion information in scenes by analyzing pixel movements in video sequences. Traditional methods rely on photometric consistency assumptions and motion smoothness constraints but often struggle with large motions, complex scenes, or occlusions. Deep learning-based approaches have significantly advanced the field, with notable contributions from FlowNet, FlowNet2.0, PWC-Net, and RAFT, enhancing accuracy and robustness. However, challenges remain, including robustness in complex environments and accurate estimation of

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5

Wang, Sufang, Chuanxu An, and Weicun Zhang. "Optimization of motion control smoothness based on Eband algorithm." In Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0. Elsevier, 2024. http://dx.doi.org/10.1016/b978-0-32-395207-1.00017-2.

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6

Zhu Yu-wu, Lee Sang-Geon, and Cho Yun-hyun. "Optimal Design of Permanent Magnet Linear Synchronous Motor with Low Force Pulsations Using Response Surface Methodology." In Studies in Applied Electromagnetics and Mechanics. IOS Press, 2010. https://doi.org/10.3233/978-1-60750-604-1-244.

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This paper investigates an optimal design of a double-sided iron core type permanent magnet linear synchronous motor (PMLSM) for ropeless elevator system using response surface methodology (RSM). An inherent drawback of the PMLSM is the detent force that will generate the pulsations of the propulsion force, deteriorate the smoothness of motion drive, and make passengers feel nervous. To solve the force pulsations the combination of two dimensional (2D) finite element analysis (FEA) and RSM is utilized, which can solve the problem effectively without much time consuming. The validity and effect

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7

Morasso Pietro, Mohan Vishwanathan, Metta Giorgio, and Sandini Giulio. "Motion planning and bimanual coordination in humanoid robots." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2009. https://doi.org/10.3233/978-1-60750-010-0-169.

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Humanoid robots have a large number of &ldquo;extra&rdquo; joints, organized in a humanlike fashion with several kinematic chains. In this chapter we describe a method of motion planning that is based on an artificial potential field approach (Passive Motion Paradigm) combined with terminal-attractor dynamics. No matrix inversion is necessary and the computational mechanism does not crash near kinematic singularities or when the robot is asked to achieve a final pose that is outside its intrinsic workspace: what happens, in this case, is the gentle degradation of performance that chara

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8

Zhang, Jian, Yu Chen, and Xiaoying Liu. "Simulation Analysis for the Motion of New Type of Gear with Circular Arc Tooth Trace." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2024. http://dx.doi.org/10.3233/faia231296.

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The new type of gear with circular arc tooth line is a new type of gear with good meshing ability, high degree of overlap, good smoothness of transmission, almost no noise, theoretical basis for high-speed operation, and can adapt to long working hours. According to its tooth equations, the three-dimensional model of the gear was established in SolidWorks, and after the assembly of the major and minor gears was completed, the Motion analysis module was used to simulate the kinematics of the new circular arc cylindrical gear, and the corresponding angular velocity curves of the master and drive

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9

Meng, Fanfang, Shuaishuai Wang, Kai Xu, and Yi Zheng. "A simulation Analysis of Grasping Motion Characteristics of Humanoid Robotic Hand Based on ADAMS." In Studies in Applied Electromagnetics and Mechanics. IOS Press, 2024. http://dx.doi.org/10.3233/saem240029.

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The humanoid robotic hand is currently one of the hotspots in research. In order to better address the issue of smoothness in motion of humanoid robotic hands, a five-fingered humanoid robotic hand structure was designed. Models for each finger joint and the overall three-dimensional model were established. By incorporating mechanisms such as cable transmission, torsion spring reset, and limiting mechanisms between finger joints, the motion characteristics of the humanoid robotic hand were analyzed using ADAMS dynamic simulation software. The centroid displacement diagram of the humanoid robot

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10

Danilov, Gleb, Vasiliy Kostyumov, Oleg Pilipenko, et al. "Can Microinstrument Motion Metrics of Distance, Speed, and Acceleration Indicate Surgical Task Complexity? An AI-Driven Study." In Studies in Health Technology and Informatics. IOS Press, 2025. https://doi.org/10.3233/shti250059.

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Objectifying the quality of microsurgical technique is both crucial and challenging. The aim of this study was to evaluate whether microinstrument motion metricscan reflect the complexity of microsurgical tasks. The laboratory experiment involved 13 right-handed neurosurgeons tasked with using microsurgical scissors to cut a white thread at a spot marked by a purple dot under the microscope. Each participant completed the task under four consecutive conditions: with or without wrist stabilization on a support, both before and after muscle load. Using the promptable transformer model, we segmen

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Тези доповідей конференцій з теми "Smoothness of motion"

1

Irfani, Mochamad Farhan Ali, Wildan Iswahyudi, Rangga Bayu Saputra, Yogi Dwi Mahandi, Siti Sendari, and Triyanna Widiyaningtyas. "Enhanced Smoothness of Dynamixel XL320 Servo Motors: A Comparative Study of Sinusoidal Motion Profiles and PID Control." In 2024 International Conference on Electrical Engineering and Computer Science (ICECOS). IEEE, 2024. https://doi.org/10.1109/icecos63900.2024.10791100.

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2

Wen, Chung-Lin, Yu-Ting Wong, Bing-Yu Chen, and Yoichi Sato. "Video segmentation with motion smoothness." In SIGGRAPH '09: Posters. ACM Press, 2009. http://dx.doi.org/10.1145/1599301.1599341.

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3

Xie, Kan, Luc Van Eycken, and Andre J. Oosterlinck. "Estimating motion vectorfields with smoothness constraints." In Berlin - DL tentative, edited by Rudy A. Mattheus, Andre J. Duerinckx, and Peter J. van Otterloo. SPIE, 1993. http://dx.doi.org/10.1117/12.160509.

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4

Ng, C., M. Lewis, and E. Richard. "Measure of smoothness for motion actuator travel." In AIAA Modeling and Simulation Technologies Conference and Exhibit. American Institute of Aeronautics and Astronautics, 2001. http://dx.doi.org/10.2514/6.2001-4304.

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5

Caselli, Elena, Andrea Vottero, Sandra Pieraccini, Stefano Pastorelli, and Laura Gastaldi. "Evaluation of Human Movement Smoothness and influence of signal processing techniques." In 16th International Conference on Applied Human Factors and Ergonomics (AHFE 2025). AHFE International, 2025. https://doi.org/10.54941/ahfe1006638.

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Анотація:

Movement smoothness is a pivotal parameter for evaluating the quality of human motion, reflecting its fluidity and continuity. This parameter holds significant importance in fields such as industrial ergonomics, medical rehabilitation and sports performance optimization. Metrics such as Spectral Arc-Length (SPARC) and Log of Dimensionless Jerk (LDLJ) are commonly used to quantify smoothness, but the impact of signal segmentation on these measurements remains underexplored. This study investigates how segmenting motion signals influences smoothness assessments in different movement tasks.Object

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6

"ENERGY-MINIMIZATION BASED MOTION ESTIMATION USING ADAPTIVE SMOOTHNESS PRIORS." In International Conference on Computer Vision Theory and Applications. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0003805202010207.

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7

Xie, Kan, Luc Van Eycken, and Andre J. Oosterlinck. "Hierarchical motion estimation algorithm with smoothness constraints and postprocessing." In Visual Communications and Image Processing '94, edited by Aggelos K. Katsaggelos. SPIE, 1994. http://dx.doi.org/10.1117/12.185943.

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8

Tang, Peng, and Weidong Jin. "Railway running smoothness monitoring based on visual motion parallax." In 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO). IEEE, 2017. http://dx.doi.org/10.1109/robio.2017.8324780.

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Zeng, Kai, and Zhou Wang. "Temporal motion smoothness measurement for reduced-reference video quality assessment." In 2010 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2010. http://dx.doi.org/10.1109/icassp.2010.5495316.

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Tandjung, Stephanus Surijadarma, Seah Hock Soon, and Qian Kemao. "Block Motion Model for Optical Flow with Smoothness Prior Function." In 2006 9th International Conference on Control, Automation, Robotics and Vision. IEEE, 2006. http://dx.doi.org/10.1109/icarcv.2006.345246.

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