Relevant bibliographies by topics / Human Kinematics

Academic literature on the topic 'Human Kinematics'

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Published: 10 December 2022
Last updated: 10 March 2023

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Journal articles on the topic "Human Kinematics"

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Bittner, Marian, Wei-Tse Yang, Xucong Zhang, Ajay Seth, Jan van van Gemert, and Frans C. T. van der van der Helm. "Towards Single Camera Human 3D-Kinematics." Sensors 23, no. 1 (December 28, 2022): 341. http://dx.doi.org/10.3390/s23010341.

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Markerless estimation of 3D Kinematics has the great potential to clinically diagnose and monitor movement disorders without referrals to expensive motion capture labs; however, current approaches are limited by performing multiple de-coupled steps to estimate the kinematics of a person from videos. Most current techniques work in a multi-step approach by first detecting the pose of the body and then fitting a musculoskeletal model to the data for accurate kinematic estimation. Errors in training data of the pose detection algorithms, model scaling, as well the requirement of multiple cameras limit the use of these techniques in a clinical setting. Our goal is to pave the way toward fast, easily applicable and accurate 3D kinematic estimation . To this end, we propose a novel approach for direct 3D human kinematic estimation D3KE from videos using deep neural networks. Our experiments demonstrate that the proposed end-to-end training is robust and outperforms 2D and 3D markerless motion capture based kinematic estimation pipelines in terms of joint angles error by a large margin (35% from 5.44 to 3.54 degrees). We show that D3KE is superior to the multi-step approach and can run at video framerate speeds. This technology shows the potential for clinical analysis from mobile devices in the future.
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Vinken, Pia M., Daniela Kröger, Ursula Fehse, Gerd Schmitz, Heike Brock, and Alfred O. Effenberg. "Auditory Coding of Human Movement Kinematics." Multisensory Research 26, no. 6 (2013): 533–52. http://dx.doi.org/10.1163/22134808-00002435.

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Although visual perception is dominant on motor perception, control and learning, auditory information can enhance and modulate perceptual as well as motor processes in a multifaceted manner. During last decades new methods of auditory augmentation had been developed with movement sonification as one of the most recent approaches expanding auditory movement information also to usually mute phases of movement. Despite general evidence on the effectiveness of movement sonification in different fields of applied research there is nearly no empirical proof on how sonification of gross motor human movement should be configured to achieve information rich sound sequences. Such lack of empirical proof is given for (a) the selection of suitable movement features as well as for (b) effective kinetic–acoustical mapping patterns and for (c) the number of regarded dimensions of sonification. In this study we explore the informational content of artificial acoustical kinematics in terms of a kinematic movement sonification using an intermodal discrimination paradigm. In a repeated measure design we analysed discrimination rates of six everyday upper limb actions to evaluate the effectiveness of seven different kinds of kinematic–acoustical mappings as well as short term learning effects. The kinematics of the upper limb actions were calculated based on inertial motion sensor data and transformed into seven different sonifications. Sound sequences were randomly presented to participants and discrimination rates as well as confidence of choice were analysed. Data indicate an instantaneous comprehensibility of the artificial movement acoustics as well as short term learning effects. No differences between different dimensional encodings became evident thus indicating a high efficiency for intermodal pattern discrimination for the acoustically coded velocity distribution of the actions. Taken together movement information related to continuous kinematic parameters can be transformed into the auditory domain. Additionally, pattern based action discrimination is obviously not restricted to the visual modality. Artificial acoustical kinematics might be used to supplement and/or substitute visual motion perception in sports and motor rehabilitation.
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Hirose, James, Atsushi Nishikawa, Yosuke Horiba, Shigeru Inui, and Todd C. Pataky. "Integrated jerk as an indicator of affinity for artificial agent kinematics: laptop and virtual reality experiments involving index finger motion during two-digit grasping." PeerJ 8 (September 15, 2020): e9843. http://dx.doi.org/10.7717/peerj.9843.

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Uncanny valley research has shown that human likeness is an important consideration when designing artificial agents. It has separately been shown that artificial agents exhibiting human-like kinematics can elicit positive perceptual responses. However the kinematic characteristics underlying that perception have not been elucidated. This paper proposes kinematic jerk amplitude as a candidate metric for kinematic human likeness, and aims to determine whether a perceptual optimum exists over a range of jerk values. We created minimum-jerk two-digit grasp kinematics in a prosthetic hand model, then added different amplitudes of temporally smooth noise to yield a variety of animations involving different total jerk levels, ranging from maximally smooth to highly jerky. Subjects indicated their perceptual affinity for these animations by simultaneously viewing two different animations side-by-side, first using a laptop, then separately within a virtual reality (VR) environment. Results suggest that (a) subjects generally preferred smoother kinematics, (b) subjects exhibited a small preference for rougher-than minimum jerk kinematics in the laptop experiment, and that (c) the preference for rougher-than minimum-jerk kinematics was amplified in the VR experiment. These results suggest that non-maximally smooth kinematics may be perceptually optimal in robots and other artificial agents.
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Knutzen, Kathleen M. "Kinematics of human motion." American Journal of Human Biology 10, no. 6 (1998): 808–9. http://dx.doi.org/10.1002/(sici)1520-6300(1998)10:6<808::aid-ajhb13>3.0.co;2-e.

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Niemitz, Carsten. "Kinematics and ontogeny of locomotion in monkeys and human babies." Zeitschrift für Morphologie und Anthropologie 83, no. 2-3 (April 25, 2002): 383–400. http://dx.doi.org/10.1127/zma/83/2002/383.

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Ren, Bin, Jianwei Liu, Xurong Luo, and Jiayu Chen. "On the kinematic design of anthropomorphic lower limb exoskeletons and their matching movement." International Journal of Advanced Robotic Systems 16, no. 5 (September 1, 2019): 172988141987590. http://dx.doi.org/10.1177/1729881419875908.

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The lower limb exoskeleton is a wearable device for assisting medical rehabilitation. A classical lower limb exoskeleton structures cannot precisely match the kinematics of the wearer’s limbs and joints in movement, so a novel anthropomorphic lower limb exoskeleton based on series–parallel mechanism is proposed in this article. Then, the human lower limb movements are measured by an optical gait capture system. Comparing the simulation results of the series–parallel mechanism with the measured human data, the kinematics matching model at the hip joint is established. The results show that the kinematic matching errors in the X, Y, and Z directions are less than 2 mm. So, the proposed kinematics matching model is effective and the anthropomorphic series–parallel mechanism has a significant improvement in tracing the human positions at the hip joint.
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Pruszynski, J. Andrew, Timothy P. Lillicrap, and Stephen H. Scott. "Complex Spatiotemporal Tuning in Human Upper-Limb Muscles." Journal of Neurophysiology 103, no. 1 (January 2010): 564–72. http://dx.doi.org/10.1152/jn.00791.2009.

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Correlations between neural activity in primary motor cortex (M1) and arm kinematics have recently been shown to be temporally extensive and spatially complex. These results provide a sophisticated account of M1 processing and suggest that M1 neurons encode high-level movement trajectories, termed “pathlets.” However, interpreting pathlets is difficult because the mapping between M1 activity and arm kinematics is indirect: M1 activity can generate movement only via spinal circuitry and the substantial complexities of the musculoskeletal system. We hypothesized that filter-like complexities of the musculoskeletal system are sufficient to generate temporally extensive and spatially complex correlations between motor commands and arm kinematics. To test this hypothesis, we extended the computational and experimental method proposed for extracting pathlets from M1 activity to extract pathlets from muscle activity. Unlike M1 activity, it is clear that muscle activity does not encode arm kinematics. Accordingly, any spatiotemporal correlations in muscle pathlets can be attributed to musculoskeletal complexities rather than explicit higher-order representations. Our results demonstrate that extracting muscle pathlets is a robust and repeatable process. Pathlets extracted from the same muscle but different subjects or from the same muscle on different days were remarkably similar and roughly appropriate for that muscle's mechanical action. Critically, muscle pathlets included extensive spatiotemporal complexity, including kinematic features before and after the present muscle activity, similar to that reported for M1 neurons. These results suggest the possibility that M1 pathlets at least partly reflect the filter-like complexities of the periphery rather than high-level representations.
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Austin, Gary P., Gladys E. Garrett, and David Tiberio. "Effect of Added Mass on Human Unipedal Hopping." Perceptual and Motor Skills 94, no. 3 (June 2002): 834–40. http://dx.doi.org/10.2466/pms.2002.94.3.834.

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Although hopping is considered a children's activity, it can be used to provide insight into the neuromuscular and biomechanical performance of adults. This study investigated whether mass added during unipedal hopping altered the vertical stiffness, hopping period, and angular kinematics of the lower extremity of adults. Measures of two-dimensional kinematics and vertical force were made from 10 healthy men during hopping at a preferred period under three conditions: Body Mass, Body Mass + 10%, and Body Mass + 20%. Adding mass significantly increased hopping period and hip flexion without significantly affecting vertical stiffness, ankle dorsiflexion, or knee flexion. Overall, the findings agreed with predictions based on a simple-mass spring model. The results indicate unique kinetic and kinematic responses to increased mass during hopping may have potential application in neuromuscular assessment and training for the lower extremities.
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Gomez, Arnold D., Philip V. Bayly, John A. Butman, Dzung L. Pham, Jerry L. Prince, and Andrew K. Knutsen. "Group characterization of impact-induced, in vivo human brain kinematics." Journal of The Royal Society Interface 18, no. 179 (June 2021): 20210251. http://dx.doi.org/10.1098/rsif.2021.0251.

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Brain movement during an impact can elicit a traumatic brain injury, but tissue kinematics vary from person to person and knowledge regarding this variability is limited. This study examines spatio-temporal brain–skull displacement and brain tissue deformation across groups of subjects during a mild impact in vivo . The heads of two groups of participants were imaged while subjected to a mild (less than 350 rad s −2 ) impact during neck extension (NE, n = 10) and neck rotation (NR, n = 9). A kinematic atlas of displacement and strain fields averaged across all participants was constructed and compared against individual participant data. The atlas-derived mean displacement magnitude was 0.26 ± 0.13 mm for NE and 0.40 ± 0.26 mm for NR, which is comparable to the displacement magnitudes from individual participants. The strain tensor from the atlas displacement field exhibited maximum shear strain (MSS) of 0.011 ± 0.006 for NE and 0.017 ± 0.009 for NR and was lower than the individual MSS averaged across participants. The atlas illustrates common patterns, containing some blurring but visible relationships between anatomy and kinematics. Conversely, the direction of the impact, brain size, and fluid motion appear to underlie kinematic variability. These findings demonstrate the biomechanical roles of key anatomical features and illustrate common features of brain response for model evaluation.
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Hemami, A. "On a human-arm-like mechanical manipulator." Robotica 5, no. 1 (January 1987): 23–28. http://dx.doi.org/10.1017/s0263574700009607.

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SUMMARYThis paper investigates the kinematics and motion of a human arm as a manipulator with seven degrees of freedom, and how to deal with the extra degree of freedom that exists. It proposes that a change of configuration be divided into a sequence of motions where each time one of the joints is locked. It then presents a general technique to solve inverse kinematic equations of the different reduced models that arise.
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Dissertations / Theses on the topic "Human Kinematics"

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Dickson, Ruth. "The kinematics of human tool use." Thesis, Bangor University, 2018. https://research.bangor.ac.uk/portal/en/theses/the-kinematics-of-human-tool-use(ae098f00-5385-4e16-9d01-60c0d173452c).html.

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The aim of this thesis was to use kinematic analysis to further our understanding of tool Use. We wanted to investigate whether there were similarities in how people picked up objects with their hand and with a tool, and whether these remained when we manipulated the ratio and motor equivalence of the tool. This allowed us to investigate the concepts of end-effector control and internal tool models. Participants compensated for the ratio of the red 1.4:1 tool to the same extent when only cued with tool colour as when having all of the information. This shows that information about the tool must have been stored in memory, supporting the idea of internal tool models. Participants produced qualitatively similar movements with our tools and the hand, showing no difference in the peak velocity and altering peak end-effector aperture based on tool ratio. Further to this, participants displayed similar adaptive mechanisms in response to visual uncertainty with the hand, the blue 1:1 tool and the red tool, but not with the yellow 0.7:1 tool however. Throughout the thesis participants also compensated less for the ratio of this tool than the red one. Whilst attempting to investigate the imperfect compensation seen with both tools we understood this issue more. Participants overestimated object size with the yellow tool and performed more poorly at a size discrimination task as well. This pointed towards a biased internal tool model, tending towards the aperture of the hand. This accounted for the asymmetric compensation seen between the red and yellow tools. We concluded that the imperfect compensation for tool ratio was caused by noise in the internal tool models and that the yellow tool model was then biased as well, further reducing compensation. Our findings support the idea that the precision with which we can use a tool could be modulated by prior experience with that transformation. We also believe that the degree of motor equivalence of the tool contributes to precision of use, with tools that are not directly equivalent taking longer to develop a robust internal model for. However, even tools without direct motor equivalence display some of the hallmarks of reaching and grasping with the hand, suggesting that grasping movements could be encoded in end-effector units.
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Murray, George M. "Acrosome size and kinematics of human spermatozoa." Thesis, Link to the online version, 2007. http://hdl.handle.net/10019/1131.

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Powers, Marilyn Joy. "Human patellofemoral kinematics and related joint surface geometry." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0015/MQ48068.pdf.

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Pantazis, Ioannis. "Tracking human walking using MARG sensors." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Jun%5FPantazis.pdf.

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Thesis (M.S. in Electrical Engineering and M.S. in Systems Engeineering)--Naval Postgraduate School, June 2005.
Thesis Advisor(s): Xiaoping Yun. Includes bibliographical references (p. 93-95). Also available online.
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Rubin, Richard K. "Three-dimensional measurement and visualisation of human lumbar kinematics." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape11/PQDD_0007/MQ44038.pdf.

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Murphy, Michael Charles 1955. "Geometry and the kinematics of the normal human knee." Thesis, Massachusetts Institute of Technology, 1990. http://hdl.handle.net/1721.1/13612.

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Yarbrough, Nancy Victoria 1945. "CONTROL OF TOUCHDOWN IN HUMAN LOCOMOTION (ELECTROMYOGRAPHY, WALKING, KINEMATICS)." Thesis, The University of Arizona, 1986. http://hdl.handle.net/10150/291309.

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Gezgin, Erkin Alizade Rasim. "Biokinematic analysis of human arm." [s.l.]: [s.n.], 2006. http://library.iyte.edu.tr/tezler/master/makinamuh/T000547.pdf.

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Thesis (Master)--İzmir Institute of Technology, İzmir, 2006.
Keywords: Biokinematic analysis, quaternionlar, structural groups, mechanism theory,robot manipulators. Includes bibliographical references (leaves 78-85).
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Zhang, Chunxiao. "Estimation of 3D human motion kinematics model from multiple cameras." Thesis, University of Central Lancashire, 2009. http://clok.uclan.ac.uk/19932/.

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Estimation of articulated human motion based on video sequences acquired from multiple synchronised cameras is an active and challenging research area. This is mainly due to the need of high dimensional non-linear models to describe the human motion, cluttered data, and occlusions present in the captured images. Although many diverse techniques have been proposed to solve this problem, none of the existing solutions is fully satisfactory. In this thesis, upper body motion tracking and full body motion tracking based on the annealed particle filter (APP) approach are presented. To successfully implement a body motion tracking algorithm, the first requirement is to prepare and pre-process the data. The work performed in this area includes calibration of multiple cameras, colour image segmentation to extract body silhouettes from the cluttered background, and visual hull reconstruction to provide voxels representing a human volume in 3D space. The second requirement is to build the models. Two set of models are proposed in this thesis. The first set is for upper body tracking and it contains point models and two-segment articulated arm models; the second set is for full body tracking and it contains five articulated chains as a full human model. The final requirement is to design a measurement method for aligning the models to the data. Two novel measurement methods are proposed for the motion tracking: one is based on a combination of different penalties tailored to each body part based on the percentage of the 3D to 2D projected body points, falling inside and outside the body silhouette, and the other is based on the symmetrical property of the intensity profile obtained from the body silhouette bisected by the 3D to 2D projection of the estimated skeletal model. Various evaluations were carried out to demonstrate the effectiveness of the algorithms implemented and the excellent performance of the proposed methods for upper body and full body motion tracking. These include the accuracy analysis of cameras calibration and image segmentation; the accuracy and speed of APF applied to the articulated arm model in tracking of the infra-red marker based human motion data; as well as the visual and quantitative assessments of the final results obtained from the proposed upper body and full body motion tracking.
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Edey, Rosanna. "The role of human movement kinematics in internal state inference." Thesis, Birkbeck (University of London), 2017. http://bbktheses.da.ulcc.ac.uk/311/.

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The kinematics of our movements reflect our internal (mental and affective) states. This thesis tests the hypothesis that these kinematic signals contribute to judgments about others’ internal states through models based on our own actions. Chapter 1 details the theoretical background and previous literature that motivates this hypothesis. Chapter 2 (typical adults) and 3 (typical adolescents) test the hypothesis that we use models of our own action kinematics to make judgments about others’ affective states. Both experiments support the hypothesis by demonstrating that differences in one’s own typical action kinematics determine the perceived intensity of affective states of observed point-light walkers. Chapters 4, 5, and 6 examine the hypothesis that atypical movement kinematics in autism spectrum disorder (autism) contribute to social communication difficulties. Chapters 4 and 5 measure two basic skills required to make internal state judgments from observing others’ actions: visual time perception and sensitivity to kinematic signals that describe ‘natural’ motion. Both studies find no deficits in the autism group compared to the typically developed group – and some enhanced abilities – suggesting that these basic skills are intact. However, Chapter 6 demonstrates that typically developed individuals are impaired at reading mental states from autistic actions, suggesting that atypical movement kinematics may be partly contributing to bi-directional communicative difficulties experienced between individuals with autism and their typical peers. Chapter 7 investigates whether differences in movement kinematics early in development are associated with later social skills in a group of infants at high- or low-risk of developing autism. Indeed, movement kinematics at 10 months of age predicts social abilities at 14 months of age, demonstrating the value of kinematic markers for predicting social functioning and possibly disorder. Chapter 8 summarises the studies presented in this thesis, which show support for the hypothesis that we judge others’ internal states through models based on our own actions.
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Books on the topic "Human Kinematics"

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Kinematics of human motion. Champaign, IL: Human Kinetics, 1998.

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Lenarčič, J., and M. M. Stanišić. Advances in robot kinematics: Motion in man and machine. Dordrecht: Springer, 2010.

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Engineers, Society of Automotive, and SAE International Congress & Exposition (1993 : Detroit, Mich.), eds. Vehicle and occupant kinematics: Simulation and modeling. Warrendale, Pa: Society of Automotive Engineers, 1993.

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Chèze, Laurence. Kinematic Analysis of Human Movement. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781119058144.

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Laviolette, Jocelyn Marie. Optimal marker placement for kinematic studies of the human lower extremity. Ottawa: National Library of Canada, 1990.

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Mowery, Ann C. Techniques for determining segmental characteristics in a kinematic analysis of the golf drive. Eugene: Microform Publications, College of Human Development and Performance, University of Oregon, 1986.

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Evans, Gail Grant. Kinetic and kinematic analysis of the clear backward hip circle to handstand on the uneven parallel bars. Eugene, Oregon: Microform Publications, 1986.

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Belen, Robin L. A new kinematic model for the study of the role of the posterior cruciate ligament (PCL) in human knee motion. Monterey, Calif: Naval Postgraduate School, 1994.

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Steele, Catriona Margaret. Kinematics and coordinative dynamics in normal human swallowing. 2003.

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Tommasino, Paolo. Task-space Separation Principle: From Human Postural Synergies to Bio-inspired Motion Planning for Redundant Manipulators. Springer, 2018.

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Book chapters on the topic "Human Kinematics"

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Arus, Emeric. "Kinematics in Angular Motion." In Biomechanics of Human Motion, 127–32. Second Edition. | Boca Raton, Florida : CRC Press, Taylor & Francis: CRC Press, 2017. http://dx.doi.org/10.1201/b22446-10.

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Arus, Emeric. "Kinematics in Linear Motion." In Biomechanics of Human Motion, 111–26. Second Edition. | Boca Raton, Florida : CRC Press, Taylor & Francis: CRC Press, 2017. http://dx.doi.org/10.1201/b22446-9.

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Parenti-Castelli, Vincenzo, and Nicola Sancisi. "Synthesis of Spatial Mechanisms to Model Human Joints." In 21st Century Kinematics, 49–84. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4510-3_3.

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Liu, Honghai, Zhaojie Ju, Xiaofei Ji, Chee Seng Chan, and Mehdi Khoury. "Fuzzy Qualitative Robot Kinematics." In Human Motion Sensing and Recognition, 51–65. Berlin, Heidelberg: Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-662-53692-6_3.

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Chen, Fai Chen, Silvia Appendino, Alessandro Battezzato, Alain Favetto, Mehdi Mousavi, and Francesco Pescarmona. "Human Finger Kinematics and Dynamics." In New Advances in Mechanisms, Transmissions and Applications, 115–22. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-7485-8_15.

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Engin, A. E. "Kinematics of Human Shoulder Motion." In Biomechanics of Diarthrodial Joints, 405–39. New York, NY: Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4612-3450-0_17.

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Šlajpah, Sebastjan, Roman Kamnik, and Marko Munih. "Human Motion Kinematics Assessment Using Wearable Sensors." In Advances in Robot Kinematics, 171–80. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06698-1_19.

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Lenarčič, J., A. Umek, and S. Savić. "Considerations on Human Arm Workspace and Manipulability." In Advances in Robot Kinematics, 161–70. Vienna: Springer Vienna, 1991. http://dx.doi.org/10.1007/978-3-7091-4433-6_19.

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Gu, Edward Y. L. "Robotic Kinematics and Statics." In A Journey from Robot to Digital Human, 83–134. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39047-0_4.

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Gams, Andrej, Bojan Nemec, Tadej Petrič, and Aleš Ude. "Coupling of Trajectories for Human–Robot Cooperative Tasks." In Advances in Robot Kinematics, 537–44. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06698-1_55.

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Conference papers on the topic "Human Kinematics"

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Abdel-Malek, Karim, Wei Yu, Zan Mi, E. Tanbour, and M. Jaber. "Posture Prediction Versus Inverse Kinematics." In ASME 2001 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/detc2001/dac-21013.

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Abstract Inverse kinematics is concerned with the determination of joint variables of a manipulator given its final position or final position and orientation. Posture prediction also refers to the same problem but is typically associated with models of the human limbs, in particular for postures assumed by the torso and upper extremities. There has been numerous works pertaining to the determination and enumeration of inverse kinematic solutions for serial robot manipulators. Part of these works have also been directly extended to the determination of postures for humans, but have rarely addressed the choice of solutions undertaken by humans, but have focused on purely kinematic solutions. In this paper, we present a theoretical framework that is based on cost functions as human performance measures, subsequently predicting postures based on optimizing one or more of such cost functions. This paper seeks to answer two questions: (1) Is a given point reachable (2) If the point is reachable, we shall predict a realistic posture. We believe that the human brain assumes different postures driven by the task to be executed and not only on geometry. Furthermore, because of our optimization approach to the inverse kinematics problem, models with large number of degrees of freedom are addressed. The method is illustrated using several examples.
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Chen Chen, Fai, Alain Favetto, Mehdi Mousavi, Elisa Ambrosio, Silvia Appendino, Diego Manfredi, Francesco Pescarmona, Giuseppe Calafiore, and Basilio Bona. "Human Hand: Kinematics, Statics, and Dynamics." In 41st International Conference on Environmental Systems. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2011. http://dx.doi.org/10.2514/6.2011-5249.

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Johnson, Michelle J., Seethu M. Christopher, Mayumi Mohan, and Rochelle Mendonca. "Assessing human-human therapy kinematics for retargeting to human-robot therapy." In 2015 IEEE International Conference on Rehabilitation Robotics (ICORR). IEEE, 2015. http://dx.doi.org/10.1109/icorr.2015.7281312.

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Reed, Matthew P., Matthew B. Parkinson, and David W. Wagner. "Torso Kinematics in Seated Reaches." In Digital Human Modeling for Design and Engineering Symposium. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2004. http://dx.doi.org/10.4271/2004-01-2176.

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Clark, Logan, and Sara Riggs. "VR-Based Kinematic Assessments: Examining the Effects of Task Properties on Arm Movement Kinematics." In CHI '22: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3491101.3519841.

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Bestick, Aaron M., Samuel A. Burden, Giorgia Willits, Nikhil Naikal, S. Shankar Sastry, and Ruzena Bajcsy. "Personalized kinematics for human-robot collaborative manipulation." In 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2015. http://dx.doi.org/10.1109/iros.2015.7353498.

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Cobos, S., M. Ferre, M. A. Sanchez Uran, J. Ortego, and C. Pena. "Efficient human hand kinematics for manipulation tasks." In 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE, 2008. http://dx.doi.org/10.1109/iros.2008.4651053.

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8

Nguyen, Hoi V., Than D. Le, Dung D. Huynh, and Peter Nauth. "Forward kinematics of a human-arm system and inverse kinematics using vector calculus." In 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV). IEEE, 2016. http://dx.doi.org/10.1109/icarcv.2016.7838641.

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Choi, Jonghyun, Jungtae Kim, Dongshin Kim, Chongwon Lee, Jong-Oh Park, and Jang-Hyun Park. "Design and Characteristic Analysis of 7 DOF Hybrid Master Arm With Human Arm Kinematics." In ASME 1998 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/imece1998-0255.

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Abstract There are already various types of master arm for teleoperation. But the viewpoint of human arm characteristic requires higher adaptability of master device to human arm. Several characteristics of human arm required for design of new master arm are as follows: hybrid kinematics of human arm (serial and parallel in consideration of kinematics and actuator configuration), distributed muscle. New concept of master arm with human arm characteristics was generated. It has 7 DOF hybrid kinematics and distributed form. Modeling and kinematic analysis was done. Master arm construction and teleoperation system were developed and related control routine was explained. This new master arm shows several improvements in light weight even with worn-type and higher adaptability to distributed human muscles.
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Taylor, Thomas, Seungoh Ko, Carlos Mastrangelo, and Stacy J. Morris Bamberg. "Forward kinematics using IMU on-body sensor network for mobile analysis of human kinematics." In 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2013. http://dx.doi.org/10.1109/embc.2013.6609729.

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Reports on the topic "Human Kinematics"

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Selvaraju, Ragul, Hari Shankar, and Hariharan Sankarasubramanian. Metamodel Generation for Frontal Crash Scenario of a Passenger Car. SAE International, September 2020. http://dx.doi.org/10.4271/2020-28-0504.

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A frontal impact scenario was simulated using a Finite Element Model of a Hybrid III 50th percentile male (LSTC, Livermore CA) along with seatbelt, steering system and driver airbags. The boundary conditions included acceleration pulse to the seat and the outputs including injury measures in terms of Head Injury Criterion (HIC), Normalized Neck Injury Criterion (NIJ) and Chest Severity Index (CSI) were extracted from the simulations. The kinematics of the Hybrid III were validated against the kinematics of post mortem human surrogates (PMHS) available in the literature. Using the validated setup, metamodels were generated by creating a design of varying different parameters and recording the responses for each design. First, the X and Z translation of dummy along the seat is provided as input for which there was no variation in the head injury criterion (HIC). Next, the input pulse to the seat is parameterized along with the seatbelt loading and the results are obtained respectively. The outputs, in terms of injury measures, are generated in the form of metamodels as a function of the parameters. The occupant model used for the frontal crash scenario in LS-Dyna is validated against the previously available crash experimental data. A total of 100 design points was generated with a varying combination of parameters. An increase in various injury measures was observed with an increase in the scale factor of the acceleration pulse. Also, it was found that chest severity index increased with an increase in the scale factor of the seat belt loading force.
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Selvaraju, Ragul, Hari Shankar, and Hariharan Sankarasubramanian. Metamodel Generation for Frontal Crash Scenario of a Passenger Car. SAE International, September 2020. http://dx.doi.org/10.4271/2020-28-0504.

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Abstract:
A frontal impact scenario was simulated using a Finite Element Model of a Hybrid III 50th percentile male (LSTC, Livermore CA) along with seatbelt, steering system and driver airbags. The boundary conditions included acceleration pulse to the seat and the outputs including injury measures in terms of Head Injury Criterion (HIC), Normalized Neck Injury Criterion (NIJ) and Chest Severity Index (CSI) were extracted from the simulations. The kinematics of the Hybrid III were validated against the kinematics of post mortem human surrogates (PMHS) available in the literature. Using the validated setup, metamodels were generated by creating a design of varying different parameters and recording the responses for each design. First, the X and Z translation of dummy along the seat is provided as input for which there was no variation in the head injury criterion (HIC). Next, the input pulse to the seat is parameterized along with the seatbelt loading and the results are obtained respectively. The outputs, in terms of injury measures, are generated in the form of metamodels as a function of the parameters. The occupant model used for the frontal crash scenario in LS-Dyna is validated against the previously available crash experimental data. A total of 100 design points was generated with a varying combination of parameters. An increase in various injury measures was observed with an increase in the scale factor of the acceleration pulse. Also, it was found that chest severity index increased with an increase in the scale factor of the seat belt loading force.
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Volunteer Kinematics and Reaction in Lateral Emergency Maneuver Tests. SAE International, November 2013. http://dx.doi.org/10.4271/2013-22-0013.

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It is important to understand human kinematics and muscle activation patterns in emergency maneuvers for the design of safety systems and for the further development of human models. The objective of this study was to quantify kinematic behavior and muscle activation in simulated steering tests in several realistic conditions. In total 108 tests were performed with 10 volunteers undergoing purely lateral maneuvers at 5 m/s2 deceleration or simulated lane change maneuvers at 5 m/s2 peak acceleration and peak yaw velocity of 25 °/s. Test subjects were seated on a rigid seat and restrained by a 4-point belt with retractor. Driver subjects were instructed to be relaxed or braced and to hold the steering wheel while passenger subjects were instructed to put their hands on their thighs. Subjects were instrumented with photo markers that were tracked with 3D high-speed stereo cameras and with electromyography (EMG) electrodes on 8 muscles. Corridors of head displacement, pitch and roll and displacement of T1, shoulder, elbow, hand and knee were created representing mean response and standard deviation of all subjects. In lane change tests for the passenger configuration significant differences were observed in mean peak of head left lateral displacement between the relaxed and the braced volunteers, i.e. 171 mm (σ=58, n=21) versus 121 mm (σ=46, n=17), respectively. Sitting in a relaxed position led to significantly lower muscle activity of the neck muscles. It was concluded that significantly more upper body motion and lower muscle activity was observed for relaxed subjects than for braced subjects.
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