Relevant bibliographies by topics / Motion behaviors

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Motion behaviors'

Author: Grafiati
Published: 13 April 2024

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Journal articles on the topic "Motion behaviors"

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Zhao, Kunkun, Zhisheng Zhang, Haiying Wen, Zihan Wang, and Jiankang Wu. "Modular Organization of Muscle Synergies to Achieve Movement Behaviors." Journal of Healthcare Engineering 2019 (November 15, 2019): 1–9. http://dx.doi.org/10.1155/2019/8130297.

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Muscle synergy has been applied to comprehend how the central nervous system (CNS) controls movements for decades. However, it is not clear about the motion control mechanism and the relationship between motions and muscle synergies. In this paper, we designed two experiments to corroborate the hypothesis: (1) motions can be decomposed to motion primitives, which are driven by muscle synergy primitives and (2) variations of motion primitives in direction and scale are modulated by activation coefficients rather than muscle synergy primitives. Surface electromyographic (EMG) signals were recorded from nine muscles of the upper limb. Nonnegative matrix factorization (NMF) was applied to extract muscle synergy vectors and corresponding activation coefficients. We found that synergy structures of different movement patterns were similar (α=0.05). The motion modulation indexes (MMI) among movement patterns in reaching movements showed apparent differences. Merging coefficients and reconstructed similarity of synergies between simple motions and complex motions were significant. This study revealed the motion control mechanism of the CNS and provided a rehabilitation and evaluation method for patients with motor dysfunction in exercise and neuroscience.
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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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Huang, Fan, Jun Huang, and Shao Bin Dai. "Chaotic Vibration of Fractional Calculus Model Viscoelastic Arch." Applied Mechanics and Materials 668-669 (October 2014): 151–55. http://dx.doi.org/10.4028/www.scientific.net/amm.668-669.151.

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Nonlinear dynamic behaviors of the fractional calculus model viscoelastic arch are discussed in this paper. The motion equations governing dynamic behaviors of the viscoelastic arch is derived and simplified by Galerkin method. The numerical method for solving the motion equations with fractional calculus is presented here. The influences of the load parameter and the material parameter are considered respectively. The results show that the chaotic vibration of the arch appears in forced vibration. And both the load parameter and the material parameter affect the dynamic behavior of the arch. With the increasing of the load parameter, the motion states changed from periodic motion with period 1 to complex motions, such as mult-periodicity, quasi-periodicity or chaos. The increasing of the material parameter benefits the stability of the structures.
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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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Nomura, Tatsuya, and Kazuma Saeki. "Effects of Polite Behaviors Expressed by Robots." International Journal of Synthetic Emotions 1, no. 2 (July 2010): 38–52. http://dx.doi.org/10.4018/jse.2010070103.

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A psychological experiment was conducted to straightforwardly investigate the effects of polite behaviors expressed by robots in Japan, using a small-sized humanoid robot that performed four types of behaviors with voice task instructions. Results of the experiment suggested that the subjects who experienced “deep bowing” motion of the robot felt it more extrovert than those who experienced “just standing” motion. Subjects who experienced “lying” motion of the robot felt the robot less polite than those who experienced the other motions. Female subjects more strongly feeling the robot extrovert replied for the task instruction from the robot faster, although no such trend was found in the male subjects. However, the male subjects who did not perform the task felt the robot less polite than the male subjects who performed the task and the female subjects who did not perform the task.
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Rengifo, Carolina, Jean-Rémy Chardonnet, Hakim Mohellebi, Damien Paillot, and Andras Kemeny. "Driving simulator study of the relationship between motion strategy preference and self-reported driving behavior." SIMULATION 97, no. 9 (March 25, 2021): 619–33. http://dx.doi.org/10.1177/0037549721999716.

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Faithful motion restitution in driving simulators normally focuses on track monitoring and maximizing the platform workspace by leaving aside the principal component—the driver. Therefore, in this work we investigated the role of the motion perception model on motion cueing algorithms from a user’s viewpoint. We focused on the driving behavior influence regarding motion perception in a driving simulator. Participants drove a driving simulator with two different configurations: (a) using the platform dynamic model and (b) using a supplementary motion perception model. Both strategies were compared and the participants’ data were classified according to the strategy they preferred. To this end, we developed a driving behavior questionnaire aiming at evaluating the self-reported driving behavior influence on participants’ motion cueing preferences. The results showed significant differences between the participants who chose different strategies and the scored driving behavior in the hostile and violations factors. In order to support these findings, we compared participants’ behaviors and actual motion driving simulator indicators such as speed, jerk, and lateral position. The analysis revealed that motion preferences arise from different reasons linked to the realism or smoothness in motion. Also, strong positive correlations were found between hostile and violation behaviors of the group who preferred the strategy with the supplementary motion perception model, and objective measures such as jerk and speed on different road segments. This indicates that motion perception in driving simulators may depend not only on the type of motion cueing strategy, but may also be influenced by users’ self-reported driving behaviors.
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Chen, Xia, and Wenbo V. Li. "Limiting Behaviors for Brownian Motion Reflected on Brownian Motion." Methods and Applications of Analysis 9, no. 3 (2002): 377–92. http://dx.doi.org/10.4310/maa.2002.v9.n3.a5.

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Rui, Ying-Xu, Tie-Qiao Tang, and Jian Zhang. "An Improved Social Force Model for Bicycle Flow in Groups." Journal of Advanced Transportation 2021 (September 17, 2021): 1–14. http://dx.doi.org/10.1155/2021/2412655.

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Bicycle flow widely has group behavior (i.e., cyclists have a tendency to ride in groups), which may have some significant effects on the bicycle’s motion. However, the existing studies on bicycle flow rarely consider this factor. Generally, bicycle flow has two kinds of group behaviors, i.e., shoulder group behavior and following group behavior. In this paper, we propose an improved social force (SF) model to describe the two kinds of group behaviors. Then, we use the improved SF model to, respectively, explore the effects of the two kinds of group behaviors on the bicycle’s motion from the simulation perspective. The numerical results show that (i) shoulder group behavior has some negative impacts on the bicycle’s motion, i.e., the critical density (where the through capacity can reach the maximum value), the jam density, and the through capacity will be reduced; (ii) following group behavior has some positive impacts on the bicycle’s motion, i.e., the critical density, the jam density, and the through capacity will be enhanced; (iii) the impacts of coexistence of shoulder and following group behavior are related to the density. Besides, increasing group size and group probability will enlarge the negative impacts of shoulder group behavior and alleviate the positive impacts of following group behavior. These results can guide administrators to better manage bicycle flow (especially reasonably control the negative impacts of group behaviors).
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Horswill, Ian. "Lightweight Procedural Animation with Believable Physical Interactions." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 4, no. 1 (September 27, 2021): 48–53. http://dx.doi.org/10.1609/aiide.v4i1.18671.

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I describe a procedural animation system that uses techniques from behavior-based robot control, combined with a minimalist physical simulation, to produce believable character motions in a dynamic world. Although less realistic than motion capture or full biomechanical simulation, the system produces compelling, responsive character behavior. It is also fast, supports believable physical interactions between characters such as hugging, and makes it easy to author new behaviors.
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Wei, Yuan, and Jing Zhao. "Designing Human-like Behaviors for Anthropomorphic Arm in Humanoid Robot NAO." Robotica 38, no. 7 (September 30, 2019): 1205–26. http://dx.doi.org/10.1017/s026357471900136x.

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SUMMARYHuman-like motion of robots can improve human–robot interaction and increase the efficiency. In this paper, a novel human-like motion planning strategy is proposed to help anthropomorphic arms generate human-like movements accurately. The strategy consists of three parts: movement primitives, Bayesian network (BN), and a novel coupling neural network (CPNN). The movement primitives are used to decouple the human arm movements. The classification of arm movements improves the accuracy of human-like movements. The motion-decision algorithm based on BN is able to predict occurrence probabilities of the motions and choose appropriate mode of motion. Then, a novel CPNN is proposed to solve the inverse kinematics problems of anthropomorphic arms. The CPNN integrates different models into a single network and reflects the features of these models by changing the network structure. Through the strategy, the anthropomorphic arms can generate various human-like movements with satisfactory accuracy. Finally, the availability of the proposed strategy is verified by simulations for the general motion of humanoid NAO.
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Dissertations / Theses on the topic "Motion behaviors"

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Marsili, Paolo. "Short time asymptotic behaviors of Heat kernel and Brownian motion on a Riemannian manifold." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/13541/.

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Keeve, Frederick Henry. "A Phenomenological Study of the Experience of Humanist, Spiritual, and Transpersonal Films on Positive Organizational Behaviors in the Workplace." ScholarWorks, 2016. https://scholarworks.waldenu.edu/dissertations/2320.

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A solution is needed to counteract violent news, Internet, and other negative media images and management behaviors in the workplace, in order to boost engagement and prosocial behaviors at work. The purpose of this phenomenological study was to explore the attitudes of working professionals toward prosocial behaviors and employee engagement in the workplace as affected by transpersonal Hollywood films. An organization's ability to survive is directly related to empowerment and innovation. Classic films provide a gateway for transpersonal experiences that could change behavior and thoughts. Peterson and Seligman's transformational typology involving 6 character virtues and 24 strengths was the basis for coding 8 positive films that were viewed by participants. Data collection consisted of 2 in-depth interviews, 8 written film questionnaires, and an exit interview from a criterion-based, purposeful sample of 10 adult working nonmanagerial professionals living in Los Angeles, employed in any industry except the entertainment industry. Six to 10 participants, according to researchers, are an appropriate number for saturation. The most prevalent strengths mentioned were social intelligence and perspective, followed by integrity, hope and open-mindedness. Frequent phrases that corresponded to the 6 virtue categories were wisdom/knowledge and humanity. The results revealed that positive films could be a boon for industrial/organizational issues involving recruitment, training, motivation, and prosocial behaviors. The use of positive transpersonal Hollywood films in human capital development could lead to positive social change in the workplace by reducing worker sick days and promoting a happier workforce with increased innovation and productivity.
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MONTELEONE, Vito. "WATCHING PEOPLE: ALGORITHMS TO STUDY HUMAN MOTION AND ACTIVITIES." Doctoral thesis, Università degli Studi di Palermo, 2020. http://hdl.handle.net/10447/395224.

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Nowadays human motion analysis is one of the most active research topics in Computer Vision and it is receiving an increasing attention from both the industrial and scientific communities. The growing interest in human motion analysis is motivated by the increasing number of promising applications, ranging from surveillance, human–computer interaction, virtual reality to healthcare, sports, computer games and video conferencing, just to name a few. The aim of this thesis is to give an overview of the various tasks involved in visual motion analysis of the human body and to present the issues and possible solutions related to it. In this thesis, visual motion analysis is categorized into three major areas related to the interpretation of human motion: tracking of human motion using virtual pan-tilt-zoom (vPTZ) camera, recognition of human motions and human behaviors segmentation. In the field of human motion tracking, a virtual environment for PTZ cameras (vPTZ) is presented to overcame the mechanical limitations of PTZ cameras. The vPTZ is built on equirectangular images acquired by 360° cameras and it allows not only the development of pedestrian tracking algorithms but also the comparison of their performances. On the basis of this virtual environment, three novel pedestrian tracking algorithms for 360° cameras were developed, two of which adopt a tracking-by-detection approach while the last adopts a Bayesian approach. The action recognition problem is addressed by an algorithm that represents actions in terms of multinomial distributions of frequent sequential patterns of different length. Frequent sequential patterns are series of data descriptors that occur many times in the data. The proposed method learns a codebook of frequent sequential patterns by means of an apriori-like algorithm. An action is then represented with a Bag-of-Frequent-Sequential-Patterns approach. In the last part of this thesis a methodology to semi-automatically annotate behavioral data given a small set of manually annotated data is presented. The resulting methodology is not only effective in the semi-automated annotation task but can also be used in presence of abnormal behaviors, as demonstrated empirically by testing the system on data collected from children affected by neuro-developmental disorders.
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Glass, Stephen Michael. "Strength, balance, and range of motion as modifiers of the effect of external load-bearing on functional movement behaviors in the military recruitment population." Thesis, The University of North Carolina at Greensboro, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=3745561.

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GLASS, STEPHEN MICHAEL, Ph.D. Strength, Balance, and Range of Motion as Modifiers of the Effect of External Load-Bearing on Functional Movement Behaviors in the Military Recruitment Population. (2015) Directed by Dr. Scott E. Ross. 172 pp. Clinical movement screens have become increasingly popular in strength and conditioning programs designed for the tactical athlete. Whereas conventionally administered movement screens are largely not sensitive to behaviors which impact soldierrelevant physical performance, recent evidence suggests that modified screens which incorporate external load-bearing strengthen the relationship between movement behaviors and performance outcomes. It remains unclear, however, which mechanisms may account for this improvement in association. Physical performance is considered a multidimensional construct influenced by several independent factors. Among the factors which influence military physical performance, movement screens may require high levels of strength, balance, and range of motion. This project used penalized interaction models to determine the role of strength, balance, and range of motion in modifying the effects of external load bearing on movement quality and movement. Additional confirmatory analyses examined differences in the abilities of FMS item scores to predict physical performance outcomes when those scores were obtained during control vs. external load-bearing conditions. Results suggest that the effect of load on movement complexity is modified by strength, balance, and range of motion whereas the effect on clinically rated movement quality is modified by only balance and range of motion. While the direction of the observed effects did not always coincide with our hypotheses, the present findings mirror those of previous research with respect to differential validity of weighted vs. control FMS item scores in predicting criterion performance measures.

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Tolston, Michael T. "Evaluating the Multi-Scaled Characteristics of Rhythmic Movement." University of Cincinnati / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1439306254.

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Ståhl, Martin. "Extraction of recurring behavioral motifs from video recordings of natural behavior." Thesis, KTH, Skolan för teknikvetenskap (SCI), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230894.

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Complex neural activity exhibits itself in various forms, one of which is behavior. Hence a natural way to study neural activity is to analyze behavior. In this thesis, behavior has been studied using a Gaussian hidden Markov model. The data has been gathered from video recordings of free roaming mice in a box. The model has trained on and classified mouse behavior. Classification with 4 and 6 states have been tried, the one with 6 states seems to make a distinction between two different stationary states which is biologically interesting. The conclusion is that the Gaussian hidden Markov model is a reasonable approach to mice behavior classification but it does not solve any fundamental problems. There are also some data gathering techniques that affect the results which need to be improved.
Komplex neural aktivitet utrycks i en mängd olika former, en av dessa är beteende. Det gör att ett naturligt sått att studera neural aktivitet är att analysera beteende. I den här uppsatsen så har beteende blivit studerat genom en dold Markov modell. Data har tagits från filmer av fritt springande möss i en låda. Modellen har framgångsrikt tränats på- och klassificerat mössbeteende. Klassificering med 4 och 6 tillstånd har testats, med 6 tillstånd verkar modellen göra en distinktion mellan två olika stationära tillstånd vilket är biologiskt intressant. Sammanfattningsvis är en gaussisk dold Markov modell ett rimligt sått att klassificera mössbeteende men det löser inga fundamentala problem. Det är också en del datainsamlingstekniker som skapat felaktigheter vilket behöver förbättras.
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Schagerström, Johan. "Cow behaviour monitoring with motion sensor." Thesis, KTH, Maskinkonstruktion (Inst.), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-168742.

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Det är viktigt att övervaka status för mjölkkor från ett djurskydds- och mjölkbondens ekonomiska perspektiv, speciellt för storskaliga lantbruk och automatiska mjölkgårdar. Kobeteende är en indikator på kons välfärd och djurhälsa. I den här rapporten har data samlats in från kor i en mjölkgårdsmiljö och aktivitetsigenkänning har tillämpats för att automatiskt mäta daglig idisslingstid och upptäcka brunst i uppbundna kor. Målet är en produkt som ska uppfylla kraven på noggrannhet, batteritid, robusthet och detaljnivå. Därför har flera systemaspekter beaktats beträffande val av hårdvara, mjukvara och kommunikation.I metoden ingår en två veckors period i en mjölkgård med sensordatainsamling och observation följt av en fem veckors period i ytterligare en mjölkgård med sensordatainsamling och observation med övervakningskamera. Flera algoritmer och signalegenskaper testades för idisslingsövervakning och utvärderas mot varandra med avseende på sensitivitet, specificitet och beräkningsbelastning.Slutsatsen är att de signaler som krävs för att upptäcka idissling är tillgängliga med hjälp av en accelerometer på halsbandet och det är möjligt att nå 96 % sensitivitet och 94 % specificitet med hjälp av dessa sensordata, men de bästa algoritmerna misstänks dra för mycket energi för att klara kravet om 10 års batteritid i en produkt. Det visade sig att en accelerometer på kragen inte gör det möjligt att upptäcka läggningar och ställningar som ett mått på brunst i uppbundna kor. Den externa validiteten behöver testas för detektering av idissling. Nya metoder behöver utforskas för att detektera brunst hos uppbundna kor. Algoritmer borde testas på en den tilltänkta mikrokontrollern så att noggrannare analyser kan göras för batteritid och beräkningskapacitet.
It is important to monitor status of dairy cows from an animal welfare and dairy farmer economic point of view, especially for large-scale farming and automatic milking dairies. Cow behavior is an indicator of cow welfare and cow health. In this thesis, data has been gathered from cows in a dairy farm environment and activity recognition has been implemented in order to automatically measure daily rumination time and detect heat in tied-up cows. The goal is a product that must fulfill requirements on accuracy, battery life, robustness and level of detail. Therefore, multiple system aspects have been considered concerning choice of hardware, software and communication.The method included a 2 week period in a dairy farm with sensor data gathering and observation, physically in front of the cows, followed by another 5 week period in another dairy farm with sensor data gathering and observation using surveillance camera. Multiple algorithms and signal features were tested for rumination monitoring and evaluated against each other with respect to sensitivity, specificity and computational load.The conclusion is that the signals required for detecting rumination are available using an accelerometer on the collar and it is possible to reach 96 % sensitivity and 94 % specificity using this sensor data, but the best algorithms are suspected to draw too much energy in order to comply with the requirement of 10 years of battery life in a product. It turned out that an accelerometer on the collar is not feasible for detecting lie-downs and stand-ups as a measure of heat in tied-up cows.The external validity needs to be tested for rumination detection. New methods need to be explored for detecting heat in tied-up cows. Algorithms should be tested on the intended microcontroller so that more thorough analysis can be made with respect to battery life and computational capacity.
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Gips, Jonathan Peter. "Social motion : mobile networking through sensing human behavior." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/37384.

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Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2006.
"September 2006."
Includes bibliographical references (leaves 62-65).
Low-level sensors can provide surprisingly high-level information about social interactions. The goal of this thesis is to define the components of a framework for sensing social context with mobile devices. We describe several sensing technologies - including infrared transceivers, radio frequency scanners, and accelerometers - that both capture social signals and meet the design constraints of mobile devices. Through the analysis of several large datasets, we identify features from these sensors that correlate well with the underlying social structure of interacting groups of people. We then detail the work that we have done creating infrastructure that integrates social sensors into social applications that run on mobile devices.
by Jonathan Peter Gips.
S.M.
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Zhao, Hongyang. "Motion Sensors-Based Human Behavior Recognition And Analysis." W&M ScholarWorks, 2020. https://scholarworks.wm.edu/etd/1593091889.

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Human behavior recognition and analysis have been considered as a core technology that can facilitate a variety of applications. However, accurate detection and recognition of human behavior is still a big challenge that attracts a lot of research efforts. Among all the research works, motion sensors-based human behavior recognition is promising as it is low cost, low power, and easy to carry. In this dissertation, we use motion sensors to study human behaviors. First, we present Ultigesture (UG) wristband, a hardware platform for detecting and analyzing human behavior. The hardware platform integrates an accelerometer, gyroscope, and compass sensor, providing a combination of (1) fully open Application Programming Interface (API) for various application development, (2) appropriate form factor for comfortable daily wear, and (3) affordable cost for large scale adoption. Second, we study the hand gesture recognition problem when a user performs gestures continuously. we propose a novel continuous gesture recognition algorithm. It accurately and automatically separates hand movements into segments, and merges adjacent segments if needed, so that each gesture only exists in one segment. Then, we apply the Hidden Markov Model to classify each segment into one of predefined hand gestures. Experiments with human subjects show that the recognition accuracy is 99.4% when users perform gestures discretely, and 94.6% when users perform gestures continuously. Third, we study the hand gesture recognition problem when a user is moving. We propose a novel mobility-aware hand gesture segmentation algorithm to detect and segment hand gestures. We also propose a Convolutional Neural Network to classify hand gestures with mobility noises. For the leave-one-subject-out cross-validation test, experiments with human subjects show that the proposed segmentation algorithm achieves 94.0% precision, and 91.2% recall when the user is moving. The proposed hand gesture classification algorithm is 16.1%, 15.3%, and 14.4% more accurate than state-of-the-art work when the user is standing, walking, and jogging, respectively. Finally, we present a tennis ball speed estimation system, TennisEye, which uses a racket-mounted motion sensor to estimate ball speed. We divide the tennis shots into three categories: serve, groundstroke, and volley. For a serve, we propose a regression model to estimate the ball speed. In addition, we propose a physical model and a regression model for both groundstroke and volley shots. Under the leave-one-subject-out cross-validation test, evaluation results show that TennisEye is 10.8% more accurate than the state-of-the-art work.
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Delaeter, Camille. "Impact des lixiviats de bioplastiques et plastiques conventionnels sur les organismes benthiques intertidaux : une approche comportementale." Electronic Thesis or Diss., Université de Lille (2022-....), 2023. http://www.theses.fr/2023ULILR065.

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Le comportement joue un rôle crucial dans la survie des organismes en leur permettant de s'adapter à leur environnement particulièrement variable. De nos jours, les réponses comportementales des organismes aux changements environnementaux doivent faire face à des défis sans précédents en raison des changements rapides et néfastes provoqués par l'ère Anthropique. En particulier, la pollution plastique se distingue comme l'une des préoccupations les plus pressantes dans les habitats marins. Au-delà des dommages physiques évidents, les plastiques peuvent libérer un cocktail nocif de molécules chimiques, compromettant les organismes marins à de nombreux niveaux. Liant les individus au fonctionnement des écosystèmes et aux processus évolutifs, le comportement des organismes reste cependant peu étudié dans la littérature sur l'impact des lixiviats de plastique. Ce travail de thèse vise à combler les lacunes existantes dans la littérature en ce qui concerne les organismes et les polymères étudiés. Après une revue approfondie de la littérature, ce travail se concentre sur l'étude de l'impact des lixiviats de plastique, issus de bio-polymères et de polymères conventionnels sur les comportements liés à l'anxiété chez le crabe Hemigrapsus sanguineus, les comportements de déplacement du foraminifère Haynesina germanica et les comportements cirraux de la balane Austromonius modestus. Les résultats révèlent des modifications significatives de ces comportements, qui dépendent de l'espèce, du type de polymère et de la concentration des lixiviats, et compromettent l'équilibre délicat de l'écosystème. Notamment, le lixiviat de bio- polymère entraine des altérations comportementales similaires, voire plus prononcées, que ceux issus de polymères conventionnels, soulevant des inquiétudes significatives quant à la sécurité environnementale des alternatives aux plastiques
Behaviors play a pivotal role in organisms' survival, enabling organisms to cope with their ever-changing environment. Nowadays, adaptive behavioral responses to environmental changes face unprecedented challenges due to the rapid and detrimental effects of the Anthropocene era. Noticeably, plastic pollution stands out as one of the most pressing concerns in marine habitats. Beyond causing conspicuous physical damages, plastics may leach a cocktail of harmful chemicals impairing marine organisms at various levels. Despite its role in connecting individuals to ecosystem functioning and evolutionary processes, organism behavior remains scarcely studied in the plastic leachate literature. This PhD thesis aims at to address the gaps in existing literature concerning the organisms and polymers considered. After an extensive review of the plastic leachate literature, this work focuses on investigating the impact of plastic leachates from both bio and conventional polymers on the anxiety-related behaviors of the crab Hemigrapsus sanguineus, the motion behaviors of the foraminifera Haynesina germanica and the cirral activity of the barnacle Austrominius modestus. The results reveal significant modifications in behaviors, highlighting species, polymer and dose dependencies, posing a threat to the delicate ecosystem balance. Noticeably, the biopolymer leachate results in similar or even more behavioral alterations than leachates from conventional polymers, raising significant concerns about the environmental safety of plastic alternatives
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Books on the topic "Motion behaviors"

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Casciati, F., ed. Dynamic Motion: Chaotic and Stochastic Behaviour. Vienna: Springer Vienna, 1993. http://dx.doi.org/10.1007/978-3-7091-2682-0.

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Fabio, Casciati, ed. Dynamic motion, chaotic and stochastic behaviour. Austria: Springer-Verlag, 1994.

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Steeb, W. H. Chaotic and random motion. [Johannesburg]: Rand Afrikaans Univiversity, 1987.

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Kautz, Richard. Chaos: The science of predictable random motion. New York: Oxford University Press, 2011.

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Chaos: The science of predictable random motion. New York: Oxford University Press, 2011.

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Chaos: The science of predictable random motion. New York: Oxford University Press, 2011.

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Ilg, Uwe J. Dynamics of Visual Motion Processing: Neuronal, Behavioral, and Computational Approaches. Boston, MA: Springer Science+Business Media, LLC, 2010.

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Champoux, Joseph E. Organizational behavior: Essential tenets. 2nd ed. Mason, Ohio: Thomson/South-Western, 2003.

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Pop, Iggy. Trainspotting: [music from the motion picture]. Hollywood, CA: Capitol, 1996.

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Skelton, Kimberley, ed. Early Modern Spaces in Motion. NL Amsterdam: Amsterdam University Press, 2020. http://dx.doi.org/10.5117/9789463725811.

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Stretching back to antiquity, motion had been a key means of designing and describing the physical environment. But during the sixteenth through eighteenth centuries, individuals across Europe increasingly designed, experienced, and described a new world of motion: one characterized by continuous, rather than segmented, movement. New spaces that included vistas along house interiors and uninterrupted library reading rooms offered open expanses for shaping sequences of social behaviour, scientists observed how the Earth rotated around the sun, and philosophers attributed emotions to neural vibrations in the human brain. Early Modern Spaces in Motion examines this increased emphasis on motion with eight essays encompassing a geographical span of Portugal to German-speaking lands and a disciplinary range from architectural history to English. It consequently merges longstanding strands of analysis considering people in motion and buildings in motion to explore the cultural historical attitudes underpinning the varied impacts of motion in early modern Europe.
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Book chapters on the topic "Motion behaviors"

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Khajavi, M. Javad. "Kinetic Behaviors." In Arabic Script in Motion, 29–38. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12649-0_2.

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Khajavi, M. Javad. "Kinesthetic Behaviors." In Arabic Script in Motion, 39–79. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12649-0_3.

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Khajavi, M. Javad. "Plasmatic Behaviors." In Arabic Script in Motion, 81–95. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12649-0_4.

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Khajavi, M. Javad. "Transformative Behaviors." In Arabic Script in Motion, 97–132. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12649-0_5.

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Khajavi, M. Javad. "Meta-transformative Behaviors." In Arabic Script in Motion, 133–66. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12649-0_6.

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Zordan, Victor. "Angular Momentum Control in Coordinated Behaviors." In Motion in Games, 109–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16958-8_12.

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Charalambous, Panayiotis, and Yiorgos Chrysanthou. "Learning Crowd Steering Behaviors from Examples." In Motion in Games, 35. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16958-8_4.

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Beck, Aryel, Zhang Zhijun, and Nadia Magnenat-Thalmann. "Motion Control for Social Behaviors." In Human–Computer Interaction Series, 237–56. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19947-4_11.

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Singh, Shawn, Mishali Naik, Mubbasir Kapadia, Petros Faloutsos, and Glenn Reinman. "Watch Out! A Framework for Evaluating Steering Behaviors." In Motion in Games, 200–209. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89220-5_20.

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Park, Seung In, Chao Peng, Francis Quek, and Yong Cao. "A Crowd Modeling Framework for Socially Plausible Animation Behaviors." In Motion in Games, 146–57. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34710-8_14.

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Conference papers on the topic "Motion behaviors"

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Galvane, Quentin, Marc Christie, Rémi Ronfard, Chen-Kim Lim, and Marie-Paule Cani. "Steering Behaviors for Autonomous Cameras." In Motion. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2522628.2522899.

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Bruneau, Julien, Teófilo B. Dutra, and Julien Pettré. "Following behaviors." In MIG '14: Motion in Games. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2668064.2668085.

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Sohre, Nicholas, and Stephen J. Guy. "SPNets: Human-like Navigation Behaviors with Uncertain Goals." In MIG '20: Motion, Interaction and Games. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3424636.3426911.

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Ravenet, Brian, Elisabetta Bevacqua, Angelo Cafaro, Magalie Ochs, and Catherine Pelachaud. "Perceiving attitudes expressed through nonverbal behaviors in immersive virtual environments." In MiG '16: Motion In Games. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2994258.2994280.

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Harris, John G., Mubeen A. Khan, and Keith L. Doty. "Motion-based visual behaviors for mobile robots." In SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, edited by Friedrich O. Huck and Richard D. Juday. SPIE, 1995. http://dx.doi.org/10.1117/12.212003.

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Chen, Yutao, Hong Zhang, Feiyang Cheng, Ding Yuan, and Yuhu You. "Abnormal behaviors detection using particle motion model." In Sixth International Conference on Graphic and Image Processing (ICGIP 2014), edited by Yulin Wang, Xudong Jiang, and David Zhang. SPIE, 2015. http://dx.doi.org/10.1117/12.2179331.

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Sok, Kwang Won, Manmyung Kim, and Jehee Lee. "Simulating biped behaviors from human motion data." In ACM SIGGRAPH 2007 papers. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1275808.1276511.

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Saveriano, Matteo, and Dongheui Lee. "Learning motion and impedance behaviors from human demonstrations." In 2014 11th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI). IEEE, 2014. http://dx.doi.org/10.1109/urai.2014.7057371.

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Lopes, Phil, Nana Tian, and Ronan Boulic. "Eye Thought You Were Sick! Exploring Eye Behaviors for Cybersickness Detection in VR." In MIG '20: Motion, Interaction and Games. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3424636.3426906.

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Jeong, Youn-Ju, Min-Su Park, Du-Ho Lee, and Young-Jun You. "Experimental Study on Hydrodynamic Behaviors of Hybrid Floating Body With Cylinders." In ASME 2014 33rd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/omae2014-23179.

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In this study, in order to evaluate hydrodynamic behaviors of the hybrid floating body with cylinders, experimental studies were carried out. At first, two small-scale models of pontoon and hybrid with scale factor 1:75 were fabricated and tested under the wave loadings. Based on the measured data, hydrodynamic motions of the pitch, surge, drift force, and free decay motions were evaluated and compared with each other. As the result of small-scale test, it was found that the pitch motion is more sensitive to the wave period than the surge and drift motions. Whereas the pitch motion increased by increasing of the wave period, the surge and drift motion presented a small variance according to the increasing of the wave period for the both models of pontoon and hybrid. Also, it was found that the hybrid floating body significantly influenced on the hydrodynamic motions under the wave loadings. The pitch motion reduced significantly for the all wave period cases. The surge and drift motion reduced over the wave period of 0.982sec. Damping properties of hybrid model indicated more favorable in terms of logarithmic decrement and damping ratio because of the shape effects. Therefore, it was expected that the hybrid model of this study contribute to improve serviceability and safety of floating body as decreasing hydrodynamic motions.
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Reports on the topic "Motion behaviors"

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Hammad, Ali, and Mohamed Moustafa. Seismic Behavior of Special Concentric Braced Frames under Short- and Long-Duration Ground Motions. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, December 2019. http://dx.doi.org/10.55461/zont9308.

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Over the past decade, several long-duration subduction earthquakes took place in different locations around the world, e.g., Chile in 2010, Japan in 2011, China in 2008, and Indonesia in 2004. Recent research has revealed that long-duration, large-magnitude earthquakes may occur along the Cascadia subduction zone of the Pacific Northwest Coast of the U.S. The duration of an earthquake often affects the response of structures. Current seismic design specifications mostly use response spectra to identify the hazard and do not consider duration effects. Thus, a comprehensive understanding of the effect of the duration of the ground motion on structural performance and its design implications is an important issue. The goal of this study was to investigate how the duration of an earthquake affects the structural response of special concentric braced frames (SCBFs). A comprehensive experimental program and detailed analytical investigations were conducted to understand and quantify the effect of duration on collapse capacity of SCBFs, with the goal of improving seismic design provisions by incorporating these effects. The experimental program included large-scale shake table tests, and the analytical program consisted of pre-test and post-test phases. The pre-test analysis phase performed a sensitivity analysis that used OpenSees models preliminarily calibrated against previous experimental results for different configuration of SCBFs. A tornado-diagram framework was used to rank the influence of the different modeling parameters, e.g., low-cycle fatigue, on the seismic response of SCBFs under short- and long-duration ground motions. Based on the results obtained from the experimental program, these models were revisited for further calibration and validation in the post-test analysis. The experimental program included three large-scale shake-table tests of identical single-story single-bay SCBF with a chevron-brace configuration tested under different ground motions. Two specimens were tested under a set of spectrally-matched short and long-duration ground motions. The third specimen was tested under another long-duration ground motion. All tests started with a 100% scale of the selected ground motions; testing continued with an ever-increasing ground-motion scale until failure occurred, e.g., until both braces ruptured. The shake table tests showed that the duration of the earthquake may lead to premature seismic failure or lower capacities, supporting the initiative to consider duration effects as part of the seismic design provisions. Identical frames failed at different displacements demands because of the damage accumulation associated with the earthquake duration, with about 40% reduction in the displacement capacity of the two specimens tested under long-duration earthquakes versus the short-duration one. Post-test analysis focused first on calibrating an OpenSees model to capture the experimental behavior of the test specimens. The calibration started by matching the initial stiffness and overall global response. Next, the low-cycle fatigue parameters were fine-tuned to properly capture the experimental local behavior, i.e., brace buckling and rupture. The post-test analysis showed that the input for the low-cycle fatigue models currently available in the literature does not reflect the observed experimental results. New values for the fatigue parameters are suggested herein based on the results of the three shake-table tests. The calibrated model was then used to conduct incremental dynamic analysis (IDA) using 44 pairs of spectrally-matched short- and long-duration ground motions. To compare the effect of the duration of ground motion, this analysis aimed at incorporating ground-motion variability for more generalized observations and developing collapse fragility curves using different intensity measures (IMs). The difference in the median fragility was found to be 45% in the drift capacity at failure and about 10% in the spectral acceleration (Sa). Using regression analysis, the obtained drift capacity from analysis was found to be reduced by about 8% on average for every additional 10 sec in the duration of the ground motion. The last stage of this study extended the calibrated model to SCBF archetype buildings to study the effect of the duration of ground motion on full-sized structures. Two buildings were studied: a three-story and nine-story build that resembled the original SAC buildings but were modified with SCBFs as lateral support system instead of moment resisting frames. Two planer frames were adopted from the two buildings and used for the analysis. The same 44 spectrally-matched pairs previously used in post-test analysis were used to conduct nonlinear time history analysis and study the effect of duration. All the ground motions were scaled to two hazard levels for the deterministic time history analysis: 10% exceedance in 50 years and 2% exceedance in 50 years. All analysis results were interpreted in a comparative way to isolate the effect of duration, which was the main variable in the ground-motion pairs. In general, the results showed that the analyzed SCBFs experienced higher drift values under the long-duration suite of ground motions, and, in turn, a larger percentage of fractured braces under long-duration cases. The archetype SCBFs analysis provided similar conclusions on duration effects as the experimental and numerical results on the single-story single-bay frame.
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Mojidra, Rushil, and Keri Ryan. Influence of Vertical Ground Motion on Bridges Isolated with Spherical Sliding Bearings. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, December 2019. http://dx.doi.org/10.55461/rynq3624.

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The motivation for this project developed from testing of a full scale building isolated with triple friction pendulum bearings on the E-defense shake table in Japan. The test demonstrated experimentally that the vertical component of ground motion can amplify both the base shear and the story acceleration in the isolated building. Vertical shaking introduced high-frequency variation in the axial force of the bearings, and, consequently, a high-frequency component in the bearing lateral force, which excited higher structural modes in the building. Since vertical bridges are flexible in the vertical direction because of long spans, similar effects may be observed in bridges. The objectives of this study are to develop a physical understanding of the amplification of responses and develop a simplified method to predict amplification of base shear in three-dimensional (3D) shaking relative to two-dimensional (2D) shaking, for bridges isolated with spherical sliding bearings. A series of ground motions with a wide range of vertical shaking intensity were applied to 3D models of bridges isolated with triple pendulum bearings (TPBs), both excluding the vertical component (2D motion) and including the vertical component (3D motion). This enabled the comparison of the bridge response under 2D and 3D shaking such that the direct effect of vertical shaking could be investigated. The selected ground motions were fit to target spectra in the horizontal and vertical directions, and divided into three groups based on vertical peak ground acceleration (PGAV). Multi-span concrete box girder bridges were selected for this study, as they are a prominent bridge type in California, and are suitable for seismic isolation. Models were developed for a 3-span, 45-ft wide, multi-column Base Model bridge; various superstructure and isolation-system parameter variations were implemented to evaluate the effect of these variations on the amplification of base shear. Response histories were compared for a representative motion from each ground-motion group under 2D and 3D shaking. Modal and spectral analyses were conducted to understand dynamic properties and behavior of the bridge under vertical motion. Based on simplified theory, a method to estimate the amplification of base shear due to vertical shaking was developed. The accuracy of the simplified method was assessed through a base shear normalized error metric, and different amplification factors were considered. Response history analysis showed significant amplification of base shear under 3D motion implying that exclusion of vertical component could lead to under estimation of demand shear forces on bridge piers. Deck acceleration spectral response at different locations revealed that a transverse-vertical modal coupling response was present in the Base Model bridge, which led to amplification of deck accelerations in addition to base shear due to excitation of the superstructure transverse mode. The simplified method predicted that in addition to the peak vertical ground acceleration base shear amplification depended on the isolation-system period (radius of curvature) and friction coefficient. The error in the simplified method was approximately constant across the range of isolation-system parameters. Variations in the bridge superstructure or substructure modeling parameters had only a minor effect on the base shear since the deck acts as a single mass sliding on isolators; therefore, the simplified method can be applied to a range of bridge models. The simplified method includes an amplification factor that indirectly represents the dynamic amplification of vertical acceleration from the ground to the isolation system. An amplification factor of 1.0 was found to be sufficiently conservative to estimate the base shear due to 3D shaking. The lack of apparent dynamic amplification could mean that the peak vertical acceleration is out-of-phase with the base shear. The simplified method is more likely to be unconservative for high-intensity vertical ground motions due to the complexities associated with uplift and pounding. Further investigation is recommended to determine the threshold shaking intensity limit for the simplified method.
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Pin, Francois G. Multi-optimization Criteria-based Robot Behavioral Adaptability and Motion Planning. Office of Scientific and Technical Information (OSTI), June 2002. http://dx.doi.org/10.2172/835385.

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Pin, Francois G. Multi-optimization Criteria-based Robot Behavioral Adaptability and Motion Planning. Office of Scientific and Technical Information (OSTI), June 2003. http://dx.doi.org/10.2172/835388.

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Pin, Grancois G. Multi-optimization Criteria-based Robot Behavioral Adaptability and Motion Planning. Office of Scientific and Technical Information (OSTI), June 2004. http://dx.doi.org/10.2172/839107.

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Social, Basis. Kitchen Life 2. Food Standards Agency, October 2023. http://dx.doi.org/10.46756/sci.fsa.rvw614.

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Kitchen Life 2 (KL2) used motion-sensitive cameras to explore food safety behaviours in 70 households and 31 food business operator (FBO) kitchens. It also captured data using surveys, interviews, and fridge and freezer thermometers. KL2 was commissioned in February 2021 and completed in June 2023. The aim of KL2 was to identify the key food safety behaviours that occur in household and business kitchens and understand the factors influencing these behaviours. KL2 was commissioned by the FSA and delivered by Basis Social, with support from Leeds University Business School. This unique and innovative research project won the Analysis in Government (Opens in a new window) ‘Innovative Methods’ award in 2022.
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Iba, Wayne, and Pat Langley. A Computational Model of Motor Behavior. Fort Belvoir, VA: Defense Technical Information Center, December 1987. http://dx.doi.org/10.21236/ada191179.

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Sviratcheva, K. D., and J. P. Draayer. Realistic Two-body Interactions in Many-nucleon Systems: Correlated Motion beyond Single-particle Behavior. Office of Scientific and Technical Information (OSTI), June 2006. http://dx.doi.org/10.2172/885281.

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ji, yuqin, hao tian, qiang ye, zhuoyan ye, and zeyu zheng. Effectiveness of exercise intervention on improving fundamental motor skills in children with autism spectrum disorder: A systematic review and Meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, December 2022. http://dx.doi.org/10.37766/inplasy2022.12.0013.

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Review question / Objective: This systematic review and meta-analysis aimed to synthesize available randomized controlled trial studies concerning the effects of exercise interventions on fundamental motor skills in children with autism spectrum disorder. Condition being studied: Autism Spectrum Disorder (ASD) is a complicated and highly prevalent neuro-developmental disorder characterized by deficits in social communication, restricted interests, and repetitive behaviors. The CDC reported that the prevalence of ASD was estimated to be 1 in 59 in the United States by 2020. Along with typical symptoms, a couple of studies have indicated that individuals with ASD encounter a variety of challenges, including sleep disturbance, obesity, executive function deficits, physical inactivity, and motor dysfunctions. Fundamental motor skills (FMS) are the unnaturally occurring basic motor learning model of the human body, which are the building blocks for advanced specialized motor skills and for children and adolescents to participate in sports, games, or other context-specific physical activity.FMS falls into three different categories: (a) locomotor skills (e.g., running and hopping), (b) object control skills (e.g., catching and throwing), and balance or stability skills (e.g., balancing and twisting).
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Hall, Julia. The effect of perceptual-motor training on maladaptive behaviors of emotionally disturbed children. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.1471.

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