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Journal articles on the topic 'Human movement'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Yung, Peter. "Human Movement." Physiotherapy 88, no. 7 (2002): 443. http://dx.doi.org/10.1016/s0031-9406(05)61287-4.

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2

Yashiro, K., T. Yamauchi, M. Fujii, and K. Takada. "Smoothness of Human Jaw Movement during Chewing." Journal of Dental Research 78, no. 10 (1999): 1662–68. http://dx.doi.org/10.1177/00220345990780101201.

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Human limb movements are successfully modeled based on the assumption that the central nervous system controls the movements by maximizing movement smoothness. Movement smoothness is quantified by means of a time integral of squared jerk (jerk-cost), where jerk is defined as the rate of change in acceleration. This study was performed to investigate whether the control of human masticatory vertical jaw movements can also be explained by a minimum-jerk (maximum-smoothness) model. Based on the assumption that minimum-jerk models account for vertical jaw-opening and -closing movements during chew

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3

Taylor, Jordan A., and Kurt A. Thoroughman. "Divided Attention Impairs Human Motor Adaptation But Not Feedback Control." Journal of Neurophysiology 98, no. 1 (2007): 317–26. http://dx.doi.org/10.1152/jn.01070.2006.

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When humans experience externally induced errors in a movement, the motor system's feedback control compensates for those errors within the movement. The motor system's predictive control then uses information about those errors to inform future movements. The role of attention in these two distinct motor processes is unclear. Previous experiments have revealed a role for attention in motor learning over the course of many movements; however, these experimental paradigms do not determine how attention influences within-movement feedback control versus across-movement adaptation. Here we develo

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4

Henriksson, J. "Human movement science." Acta Physiologica 205, no. 3 (2012): 321–23. http://dx.doi.org/10.1111/j.1748-1716.2012.02442.x.

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5

Pitt-Broooke, Judith. "Human Movement Explained." Physiotherapy 82, no. 9 (1996): 545. http://dx.doi.org/10.1016/s0031-9406(05)66289-x.

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6

Trew, Marion. "Functional Human Movement." Physiotherapy 85, no. 9 (1999): 518. http://dx.doi.org/10.1016/s0031-9406(05)65480-6.

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7

Mel’nichouk, Alexander P., Natalia V. Bulgakova, Arkadij N. Tal’nov, Fredrik Hellström, Uwe Windhorst, and Alexander I. Kostyukov. "Movement-dependent positioning errors in human elbow joint movements." Experimental Brain Research 176, no. 2 (2006): 237–47. http://dx.doi.org/10.1007/s00221-006-0612-6.

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8

Grinyagin, I. V., E. V. Biryukova, and M. A. Maier. "Kinematic and Dynamic Synergies of Human Precision-Grip Movements." Journal of Neurophysiology 94, no. 4 (2005): 2284–94. http://dx.doi.org/10.1152/jn.01310.2004.

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We analyzed the adaptability of human thumb and index finger movement kinematics and dynamics to variations of precision grip aperture and movement velocity. Six subjects performed precision grip opening and closing movements under different conditions of movement velocity and movement aperture (thumb and index finger tip-to-tip distance). Angular motion of the thumb and index finger joints was recorded with a CyberGlove and a three-dimensional biomechanical model was used for solving the inverse dynamics problem during precision grip movements, i.e., for calculating joint torques from experim

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Cappozzo, A., F. Catani, and A. Leardini. "Skin movement artefacts in human movement photogrammetry." Journal of Biomechanics 27, no. 6 (1994): 755. http://dx.doi.org/10.1016/0021-9290(94)91212-2.

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10

Pham, Ngoc Hung, and Takashi Yoshimi. "Adaptive Learning of Hand Movement in Human Demonstration for Robot Action." Journal of Robotics and Mechatronics 29, no. 5 (2017): 919–27. http://dx.doi.org/10.20965/jrm.2017.p0919.

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This paper describes a process for adaptive learning of hand movements in human demonstration for manipulation actions by robots using Dynamic Movement Primitives (DMPs) framework. The process includes 1) tracking hand movement from human demonstration, 2) segmenting hand movement, 3) adaptive learning with DMPs framework. We implement a extended DMPs model with a modified formulation for hand movement data observed from human demonstration including hand 3D position, orientation and fingers distance. We evaluate the generated movements by DMPs model which is reproduced without changes or adap

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Bressel, Eadric. "Innovative Analyses of Human Movement: Analytical Tools for Human Movement Research." Medicine & Science in Sports & Exercise 36, no. 10 (2004): 1834. http://dx.doi.org/10.1249/00005768-200410000-00027.

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12

Van Anh Duong, Dat, and Seokhoon Yoon. "SRMM: A Social Relationship-Aware Human Mobility Model." Electronics 9, no. 2 (2020): 221. http://dx.doi.org/10.3390/electronics9020221.

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Since human movement patterns are important for validating the performance of wireless networks, several traces of human movements in real life have been collected. However, collecting data about human movements is costly and time-consuming. Moreover, multiple traces are demanded to test various network scenarios. As a result, a lot of synthetic models of human movement have been proposed. Nevertheless, most of the proposed models were often based on random generation, and cannot produce realistic human movements. Although there have been a few models that tried to capture the characteristics

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13

Noh, Minseong, Heungju Ahn, and Sang C. Lee. "Real-Time Human Movement Recognition Using Ultra-Wideband Sensors." Electronics 13, no. 7 (2024): 1300. http://dx.doi.org/10.3390/electronics13071300.

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This study introduces a methodology for the real-time detection of human movement based on two legs using ultra-wideband (UWB) sensors. Movements were primarily categorized into four states: stopped, walking, lingering, and the transition between sitting and standing. To classify these movements, UWB sensors were used to measure the distance between the designated point and a specific point on the two legs in the human body. By analyzing the measured distance values, a movement state classification model was constructed. In comparison to conventional vision/laser/LiDAR-based research, this app

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14

POLLICK, FRANK E., JOSHUA G. HALE, and MARIA TZONEVA-HADJIGEORGIEVA. "PERCEPTION OF HUMANOID MOVEMENT." International Journal of Humanoid Robotics 02, no. 03 (2005): 277–300. http://dx.doi.org/10.1142/s021984360500048x.

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With the ultimate goal of producing natural-looking movements in humanoid robots and virtual humans, we examined the visual perception of movements generated by different models of movement generation. The models of movement generation included 14 synthetic motion generation algorithms based on theories of human motor production. In addition, we obtained motion from recordings of actual human movement. The resulting movements were applied to both a humanoid robot and a computer graphics virtual human. The computational efficiency of the motion production algorithms is described. In Experiment

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15

Weiss, Daniel J., Tara F. Boyhan, Mark Connell, et al. "Impacts on Human Movement in Australian Cities Related to the COVID-19 Pandemic." Tropical Medicine and Infectious Disease 8, no. 7 (2023): 363. http://dx.doi.org/10.3390/tropicalmed8070363.

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No studies have yet examined high-resolution shifts in the spatial patterns of human movement in Australia throughout 2020 and 2021, a period coincident with the repeated enactment and removal of varied governmental restrictions aimed at reducing community transmission of SARS-CoV-2. We compared overlapping timeseries of COVID-19 pandemic-related restrictions, epidemiological data on cases and vaccination rates, and high-resolution human movement data to characterize population-level responses to the pandemic in Australian cities. We found that restrictions on human movement and/or mandatory b

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16

Hsu, Hsiu-Ling. "Wearable Stretch Sensors for Ergonomics-Related Human Movement Monitoring." Ergonomics International Journal 8, no. 1 (2024): 1–5. http://dx.doi.org/10.23880/eoij-16000318.

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Physical ergonomics has shown to be an effective method of keeping an eye on any illnesses associated with, like, job-related tasks. Wearable sensors and artificial intelligence have been used in conjunction to enhance experimental ergonomic research techniques in the field of physical ergonomics, according to a number of recent studies. This study proposes the Smart Work wear System, a module-based ambulatory system that addresses work-related physical and psychosocial stresses that might impact health and performance. It supports risk assessment, technique training, and workplace design whil

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17

Kim, Jennifer A., James C. Eliassen, and Jerome N. Sanes. "Movement Quantity and Frequency Coding in Human Motor Areas." Journal of Neurophysiology 94, no. 4 (2005): 2504–11. http://dx.doi.org/10.1152/jn.01047.2004.

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Studies of movement coding have indicated a relationship between functional MRI signals and increasing frequency of movement in primary motor cortex and other motor-related structures. However, prior work has typically used block-designs and fixed-time intervals across the varying movements frequencies that may prevent ready distinction of brain mechanisms related to movement quantity and, especially, movement frequency. Here, we obtained functional MRI signals from humans working in an event-related design to extract independent activation related to movement quantity or movement frequency. P

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18

YAMAMOTO, Sumiko. "Biomechanics of Human Movement." Rigakuryoho Kagaku 18, no. 3 (2003): 109–14. http://dx.doi.org/10.1589/rika.18.109.

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19

Koopman, Bart (H F. J. M. ). "Dynamics of human movement." Technology and Health Care 18, no. 4-5 (2010): 371–85. http://dx.doi.org/10.3233/thc-2010-0599.

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20

Swisher, Anne K. "Technology and Human Movement." Cardiopulmonary Physical Therapy Journal 27, no. 2 (2016): 41. http://dx.doi.org/10.1097/cpt.0000000000000030.

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21

Ash, Caroline. "Human movement and environment." Science 368, no. 6489 (2020): 382.1–383. http://dx.doi.org/10.1126/science.368.6489.382-a.

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22

Doi, Youjirou, and Kazutoshi Kobayashi. "Bioenergetics of Human Movement." Transactions of the Japan Society of Mechanical Engineers Series B 60, no. 579 (1994): 3717–25. http://dx.doi.org/10.1299/kikaib.60.3717.

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23

Hilliar, Kathleen M. "Anatomy and Human Movement." Physiotherapy 88, no. 9 (2002): 571–72. http://dx.doi.org/10.1016/s0031-9406(05)60146-0.

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24

Járdánházy, T., A. Török, M. Sógor, and Gy Bán. "Symmetry in human movement." Electroencephalography and Clinical Neurophysiology 75 (January 1990): S68. http://dx.doi.org/10.1016/0013-4694(90)91964-q.

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25

Buchanan, J. J., and J. A. S. Kelso. "Integrating Human Movement Science?" Contemporary Psychology: A Journal of Reviews 39, no. 3 (1994): 317–18. http://dx.doi.org/10.1037/034023.

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26

O’Brien, Megan K., and Alaa A. Ahmed. "Rationality in Human Movement." Exercise and Sport Sciences Reviews 44, no. 1 (2016): 20–28. http://dx.doi.org/10.1249/jes.0000000000000066.

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27

Koolstra, J. H. "Dynamics of the Human Masticatory System." Critical Reviews in Oral Biology & Medicine 13, no. 4 (2002): 366–76. http://dx.doi.org/10.1177/154411130201300406.

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In this review, the movement characteristics of the human masticatory system are discussed from a biomechanical perspective. The discussion is based upon the three fundamental laws of mechanics applied to the various anatomical structures that are part of the masticatory system. An analysis of the forces and torques applied to the mandible by muscles, joints, articular capsules, and teeth is used to assess the determinants of jaw movement. The principle of relating the interplay of forces to the center of gravity of the lower jaw, in contrast to a hinge axis near its joints, is introduced. It

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28

Cochereau, Mathieu. "La Dissidence et l’unité des trois mouvements de l’existence chez Jan Patočka." Studia Phaenomenologica 19 (2019): 327–47. http://dx.doi.org/10.5840/studphaen20191917.

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Jan Patočka is usually connected with Czech dissidence, a political movement which stood up against the communist government. We want to defend the hypothesis that the notion of dissidence is not originally a political one but, above all, a phenomenological one. Dissidence is a movement of distancing which implies a rootedness, and this movement of distancing is peculiar to human beings. Patočka calls “movement of human existence” this paradoxical rootedness which is an extramundane and mundane position. Thus, we have to review the theory of the three movements of human existence. While it is

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29

Muthukumaraswamy, Suresh D. "Functional Properties of Human Primary Motor Cortex Gamma Oscillations." Journal of Neurophysiology 104, no. 5 (2010): 2873–85. http://dx.doi.org/10.1152/jn.00607.2010.

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Gamma oscillations in human primary motor cortex (M1) have been described in human electrocorticographic and noninvasive magnetoencephalographic (MEG)/electroencephalographic recordings, yet their functional significance within the sensorimotor system remains unknown. In a set of four MEG experiments described here a number of properties of these oscillations are elucidated. First, gamma oscillations were reliably localized by MEG in M1 and reached peak amplitude 137 ms after electromyographic onset and were not affected by whether movements were cued or self-paced. Gamma oscillations were fou

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30

Classen, Joseph, Joachim Liepert, Steven P. Wise, Mark Hallett, and Leonardo G. Cohen. "Rapid Plasticity of Human Cortical Movement Representation Induced by Practice." Journal of Neurophysiology 79, no. 2 (1998): 1117–23. http://dx.doi.org/10.1152/jn.1998.79.2.1117.

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Classen, Joseph, Joachim Liepert, Steven P. Wise, Mark Hallett, and Leonardo G. Cohen. Rapid plasticity of human cortical movement representation induced by practice. J. Neurophysiol. 79: 1117–1123, 1998. The process of acquiring motor skills through the sustained performance of complex movements is associated with neural plasticity. However, it is unknown whether even simple movements, repeated over a short period of time, are effective in inducing cortical representational changes. Whether the motor cortex can retain specific kinematic aspects of a recently practiced movement is also unknown

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31

Yu, Shiqi, Yoshihiro Nakata, Yutaka Nakamura, and Hiroshi Ishiguro. "Joint angle synergy-based humanoid robot motion generation with fascia-inspired nonlinear constraints." Robotica 42, no. 8 (2024): 2566–88. http://dx.doi.org/10.1017/s0263574724000961.

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AbstractWhen generating simultaneous joint movements of a humanoid with multiple degrees of freedom to replicate human-like movements, the approach of joint synergy can facilitate the generation of whole-body robotic movement with a reduced number of control inputs. However, the trade-off of minimizing control inputs and keeping characteristics of movements makes it difficult to improve movement performance in a simple control manner. In this paper, we introduce an approach by connecting and constraining these joints. It is inspired by the fascia network of the human body, which constrains the

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32

Hoffmann, Errol R., Alan H. S. Chan, and P. T. Heung. "Head Rotation Movement Times." Human Factors: The Journal of the Human Factors and Ergonomics Society 59, no. 6 (2017): 986–94. http://dx.doi.org/10.1177/0018720817701000.

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Objective: The aim of this study was to measure head rotation movement times in a Fitts’ paradigm and to investigate the transition region from ballistic movements to visually controlled movements as the task index of difficulty (ID) increases. Background: For head rotation, there are gaps in the knowledge of the effects of movement amplitude and task difficulty around the critical transition region from ballistic movements to visually controlled movements. Method: Under the conditions of 11 ID values (from 1.0 to 6.0) and five movement amplitudes (20° to 60°), participants performed a head ro

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33

Nashner, Lewis M., and Gin McCollum. "The organization of human postural movements: A formal basis and experimental synthesis." Behavioral and Brain Sciences 8, no. 1 (1985): 135–50. http://dx.doi.org/10.1017/s0140525x00020008.

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AbstractA scheme for understanding the organization of human postural movements is developed in the format of a position paper. The structural characteristics of the body and the geometry of muscular actions are incorporated into a three-dimensional graphical representation of human movement mechanics in the sagittal plane. A series of neural organizational hypotheses limit a theoretically infinite number of combinations of muscle contractions and associated movement trajectories for performing postural corrections: (1) Controls are organized to use the minimum number of muscles; (2) frequentl

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34

Fairbrother, Peter. "Social Movement Unionism or Trade Unions as Social Movements." Employee Responsibilities and Rights Journal 20, no. 3 (2008): 213–20. http://dx.doi.org/10.1007/s10672-008-9080-4.

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35

Gribble, Paul L., David J. Ostry, Vittorio Sanguineti, and Rafael Laboissière. "Are Complex Control Signals Required for Human Arm Movement?" Journal of Neurophysiology 79, no. 3 (1998): 1409–24. http://dx.doi.org/10.1152/jn.1998.79.3.1409.

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Gribble, Paul L., David J. Ostry, Vittorio Sanguineti, and Rafael Laboissière. Are complex control signals required for human arm movement? J. Neurophysiol. 79: 1409–1424, 1998. It has been proposed that the control signals underlying voluntary human arm movement have a “complex” nonmonotonic time-varying form, and a number of empirical findings have been offered in support of this idea. In this paper, we address three such findings using a model of two-joint arm motion based on the λ version of the equilibrium-point hypothesis. The model includes six one- and two-joint muscles, reflexes, mode

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G., Dr Ranganathan. "Real Life Human Movement Realization in Multimodal Group Communication Using Depth Map Information and Machine Learning." Journal of Innovative Image Processing 2, no. 2 (2020): 93–101. http://dx.doi.org/10.36548/jiip.2020.2.004.

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The latest advancements in the evolution of depth map information’s has paved way for interesting works like object recognition sign detection and human movement detection etc. The real life human movement detection or their activity identification is very challenging and tiresome. Since the real life activities of the humans could be of much interest in almost all areas, the subject of identifying the human activities has gained significance and has become a most popular research field. Identifying the human movements /activities in the public places like airport, railways stations, hospital,

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37

Ni, Shasha, and Dawei Yao. "Sports Dance Action Recognition System Oriented to Human Motion Monitoring and Sensing." Wireless Communications and Mobile Computing 2021 (June 12, 2021): 1–10. http://dx.doi.org/10.1155/2021/5515352.

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Because of its high research value, action recognition has become a very popular research direction in recent years. However, the research on the combination of motion recognition technology and dance movements is still in its infancy. At the same time, due to the high complexity of dance movements and the problems of human body self-occlusion when performing dances, research on dance video action recognition has been caused. Progress is relatively slow. This article mainly introduces the research of sports dance action recognition system oriented to human motion monitoring and sensing, fully

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38

Nasrudin, Muhammad. "CORRELATION OF HUMAN MOVEMENT SYSTEM MATERIAL IN SALAT MOVEMENT: STUDY OF INTEGRATION OF SCIENCE AND RELIGION." INSECTA: Integrative Science Education and Teaching Activity Journal 3, no. 1 (2022): 20–29. http://dx.doi.org/10.21154/insecta.v3i1.3611.

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Learning science of the human movement system material level that must be achieved by students is knowledge, understanding, and application. Based on interviews conducted, to reach that level at Madrasah Tsanawiyah Negeri Lumajang using an integration method between the material of the human movement system and salat movements, even though it is only macro. The focus of the problem is: 1) the relationship between the material system of motion in humans and the movement of salat. 2) the impact of the material relationship of the motion system on the human movement of salat. The type of research

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Li, Tong, Longfei Ren, Fangfang Yang, and Zijun Dang. "Analysis of Human Information Recognition Model in Sports Based on Radial Basis Fuzzy Neural Network." Computational Intelligence and Neuroscience 2022 (May 26, 2022): 1–8. http://dx.doi.org/10.1155/2022/5625006.

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In sports, because the movement of the human body is composed of the movements of the human limbs, and the complex and changeable movements of the human limbs lead to various and complicated movement modes of the entire human body, it is not easy to accurately track the human body movement. The recognition of human characteristic behavior belongs to a higher level computer vision topic, which is used to understand and describe the characteristic behavior of people, and there are also many research difficulties. Because the radial basis fuzzy neural network has the characteristics of parallel p

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40

Cao, Rui, Wei Tu, Jinzhou Cao, and Qingquan Li. "COMPARISON OF URBAN HUMAN MOVEMENTS INFERRING FROM MULTI-SOURCE SPATIAL-TEMPORAL DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B2 (June 8, 2016): 471–76. http://dx.doi.org/10.5194/isprs-archives-xli-b2-471-2016.

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The quantification of human movements is very hard because of the sparsity of traditional data and the labour intensive of the data collecting process. Recently, much spatial-temporal data give us an opportunity to observe human movement. This research investigates the relationship of city-wide human movements inferring from two types of spatial-temporal data at traffic analysis zone (TAZ) level. The first type of human movement is inferred from long-time smart card transaction data recording the boarding actions. The second type of human movement is extracted from citywide time sequenced mobi

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Cao, Rui, Wei Tu, Jinzhou Cao, and Qingquan Li. "COMPARISON OF URBAN HUMAN MOVEMENTS INFERRING FROM MULTI-SOURCE SPATIAL-TEMPORAL DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B2 (June 8, 2016): 471–76. http://dx.doi.org/10.5194/isprsarchives-xli-b2-471-2016.

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The quantification of human movements is very hard because of the sparsity of traditional data and the labour intensive of the data collecting process. Recently, much spatial-temporal data give us an opportunity to observe human movement. This research investigates the relationship of city-wide human movements inferring from two types of spatial-temporal data at traffic analysis zone (TAZ) level. The first type of human movement is inferred from long-time smart card transaction data recording the boarding actions. The second type of human movement is extracted from citywide time sequenced mobi

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42

Clément, Dominique. "State Funding for Human Rights Activism: Channeling Protest?" American Behavioral Scientist 61, no. 13 (2017): 1703–28. http://dx.doi.org/10.1177/0002764217744133.

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Channeling theory posits that external funding for social movements, rather than coopting activism, channels activism into more structured and less militants forms. Studies on channeling, however, focus on private funding. The following article examines whether public funding has a comparable effect on social movements. Using the human rights movement in Canada as a case study, it examines several issues relating to channeling: why funders support activism; funding as social control or altruism; how funding is related to consolidating movement gains; and the impact of funding on mobilization,

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McCormick, John, Steph Hutchison, Adam Nash, Kim Vincs, Saeid Nahavandi, and Douglas Creighton. "Learning to replace a human: A virtual performing agent." International Journal of Virtual Reality 15, no. 1 (2015): 18–22. http://dx.doi.org/10.20870/ijvr.2015.15.1.2865.

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In this paper we describe two artworks, Recognition, an outdoor interactive installation and Instrumental a live dance performance. In both works a performing agent has learnt sequences of movement from a dancer and uses these to stand in for a human performer. The agent uses an Artificial Neural Network to learn to dance from the human dancer and can perform in the human's stead. In Recognition the agent's movement is used when there are no humans present in order to keep continuity of the installation. In Instrumental the agent becomes a performing partner of a live human dancer, able to rec

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Pelham, Thomas W., Michael G. Robinson, and Laurence E. Holt. "Assessing human movement with accelerometry." WORK: A Journal of Prevention, Assessment & Rehabilitation 27, no. 1 (2006): 21–28. https://doi.org/10.3233/wor-2006-00545.

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The methods for measuring and evaluating human movement have advanced rapidly over the past 2 decades. The use of smaller, lighter, more powerful personal computers, digital video cameras and miniature, portable accelerometers have allowed the health professional, engineer, sports coach and scientist to very precisely record and quantify human movements on the sports field, in the business office, industrial setting and in the home. Most human motion analysis systems have evolved to meet the particular needs of the user. One such system that has developed over the past ten years in the Sport S

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Wachowicz, Fatima, Catherine J. Stevens, and Timothy P. Byron. "Effects of Balance Cues and Experience on Serial Recall of Human Movement." Dance Research 29, supplement (2011): 450–68. http://dx.doi.org/10.3366/drs.2011.0028.

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One way that student dancers learn new contemporary dance, hip-hop or ballroom dancing is by observing and reproducing dance phrases or steps. For experts, learning long and complex sequences may appear effortless whereas for those new to dance, the task is challenging with both motor and cognitive demands. On the cognitive side, the first stage for increasing familiarity or perceptual fluency is registering or encoding material in the short-term memory. With rehearsal, the material may be transferred subsequently to the long-term memory. Theories propose that human memory is cue driven – the

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Dang, Xiaochao, Peng Jin, Zhanjun Hao, Wenze Ke, Han Deng, and Li Wang. "Human Movement Recognition Based on 3D Point Cloud Spatiotemporal Information from Millimeter-Wave Radar." Sensors 23, no. 23 (2023): 9430. http://dx.doi.org/10.3390/s23239430.

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Human movement recognition is the use of perceptual technology to collect some of the limb or body movements presented. This practice involves the use of wireless signals, processing, and classification to identify some of the regular movements of the human body. It has a wide range of application prospects, including in intelligent pensions, remote health monitoring, and child supervision. Among the traditional human movement recognition methods, the widely used ones are video image-based recognition technology and Wi-Fi-based recognition technology. However, in some dim and imperfect weather

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Das, Susmita, Shivam Sarkar, and Biswarup Neogi. "Human Lower Extremity Motion Analysis introducing Kinovea." YMER Digital 21, no. 07 (2022): 1277–81. http://dx.doi.org/10.37896/ymer21.07/a6.

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Human Motion is the most effective and fundamental functionality utilizing the lower extremities or legs. The replication of human movement is possible in the humanoid robots with simulation related prerequisites. The forward and backward motion simulation of the normal left and right leg is the primary requirement which has been demonstrated in this research paper. The balancing of body is feasible with the leg motion simulation in different conditions such as vertical acceleration and horizontal velocity. The leg motion video of 8secs with forward and backward movement has been taken into co

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Velychko, Dmytro, Benjamin Knopp, and Dominik Endres. "Making the Coupled Gaussian Process Dynamical Model Modular and Scalable with Variational Approximations." Entropy 20, no. 10 (2018): 724. http://dx.doi.org/10.3390/e20100724.

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We describe a sparse, variational posterior approximation to the Coupled Gaussian Process Dynamical Model (CGPDM), which is a latent space coupled dynamical model in discrete time. The purpose of the approximation is threefold: first, to reduce training time of the model; second, to enable modular re-use of learned dynamics; and, third, to store these learned dynamics compactly. Our target applications here are human movement primitive (MP) models, where an MP is a reusable spatiotemporal component, or “module” of a human full-body movement. Besides re-usability of learned MPs, compactness is

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Gottlieb, Gerald L., Qilai Song, Gil L. Almeida, Di-An Hong, and Daniel Corcos. "Directional Control of Planar Human Arm Movement." Journal of Neurophysiology 78, no. 6 (1997): 2985–98. http://dx.doi.org/10.1152/jn.1997.78.6.2985.

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Gottlieb, Gerald L., Qilai Song, Gil L. Almeida, Di-an Hong, and Daniel Corcos. Directional control of planar human arm movement. J. Neurophysiol. 78: 2985–2998, 1997. We examined the patterns of joint kinematics and torques in two kinds of sagittal plane reaching movements. One consisted of movements from a fixed initial position with the arm partially outstretched, to different targets, equidistant from the initial position and located according to the hours of a clock. The other series added movements from different initial positions and directions and >40–80 cm distances. Dynamic muscle

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50

Tomai, Emmett, Rosendo Salazar, and Roberto Flores. "Mimicking Humanlike Movement in Open World Games with Path-Relative Recursive Splines." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 9, no. 1 (2021): 93–99. http://dx.doi.org/10.1609/aiide.v9i1.12692.

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In this paper we explore the use of recursive cubic Hermite splines to mimic human movement in open world games. Human-like movement in an open world environment has many characteristics that are not optimal or directed towards clear, discrete goals. Using data collected from a simple MMORPG-like game, we use our spline representation to model human player movements relative to corresponding optimal paths. Using this representation, we show that simple distributions can be used to estimate control parameters to generate human-like movement across a population of agents in a novel environment.

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