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Motion capture from a limited number of body-worn sensors, such as inertial measurement units (IMUs) and pressure insoles, has important applications in health, human performance, and entertainment.
Position and orientation in space of bones during movement: experimental artefacts
A Cappozzo, F Catani, A Leardini, MG Benedetti, and U Della Croce · 1996
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Action capture with accelerometers
Ronit Slyper and Jessica K. Hodgins · 2008
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Xsens mvn: Full 6dof human motion tracking using miniature inertial sensors
Daniel Roetenberg, Henk Luinge, Per Slycke, et al · 2009
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Motion reconstruction using sparse accelerometer data
Jochen Tautges, Arno Zinke, Björn Krüger, Jan Baumann, Andreas Weber, Thomas Helten, Meinard Müller, Hans-Peter Seidel, and Bernd Eberhardt · 2011
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Reliability and minimal detectible change values for gait kinematics and kinetics in healthy adults
Jason M. Wilken, Kelly M. Rodriguez, Melissa Brawner, and Benjamin J. Darter · 2012
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2013
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Panoptic studio: A massively multiview system for social motion capture
Hanbyul Joo, Hao Liu, Lei Tan, Lin Gui, Bart Nabbe, Iain Matthews, Takeo Kanade, Shohei Nobuhara, and Yaser Sheikh · 2015
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Smpl: A skinned multi-person linear model
Matthew Loper, Naureen Mahmood, Javier Romero, Gerard Pons-Moll, and Michael J. Black · 2015
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Deep unsupervised learning using nonequilibrium thermodynamics
Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan, and Surya Ganguli · 2015
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Real-time physics-based motion capture with sparse sensors
Sheldon Andrews, Ivan Huerta, Taku Komura, Leonid Sigal, and Kenny Mitchell · 2016
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Why are antagonist muscles co-activated in my simulation? a musculoskeletal model for analysing human locomotor tasks
Adrian KM Lai, Allison S Arnold, and James M Wakeling · 2017
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Real-time full-body motion capture from video and imus
Charles Malleson, Andrew Gilbert, Matthew Trumble, John Collomosse, Adrian Hilton, and Marco Volino · 2017
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Total capture: 3d human pose estimation fusing video and inertial sensors
Matt Trumble, Andrew Gilbert, Charles Malleson, Adrian Hilton, and John Collomosse · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Sparse inertial poser: Automatic 3d human pose estimation from sparse imus
Timo Von Marcard, Bodo Rosenhahn, Michael J Black, and Gerard Pons-Moll · 2017
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Deep inertial poser: Learning to reconstruct human pose from sparse inertial measurements in real time
Yinghao Huang, Manuel Kaufmann, Emre Aksan, Michael J. Black, Otmar Hilliges, and Gerard Pons-Moll · 2018
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Xsens mvn: Consistent tracking of human motion using inertial sensing
Martin Schepers, Matteo Giuberti, Giovanni Bellusci, et al · 2018
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Opensim: Simulating musculoskeletal dynamics and neuromuscular control to study human and animal movement
Ajay Seth, Jennifer L Hicks, Thomas K Uchida, Ayman Habib, Christopher L Dembia, James J Dunne, Carmichael F Ong, Matthew S DeMers, Apoorva Rajagopal, Matthew Millard, et al · 2018
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Hybridfusion: Real-time performance capture using a single depth sensor and sparse imus
Zerong Zheng, Tao Yu, Hao Li, Kaiwen Guo, Qionghai Dai, Lu Fang, and Yebin Liu · 2018
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Language2pose: Natural language grounded pose forecasting
Chaitanya Ahuja and Louis-Philippe Morency · 2019
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AMASS: Archive of motion capture as surface shapes
Naureen Mahmood, Nima Ghorbani, Nikolaus F. Troje, Gerard Pons-Moll, and Michael J. Black · 2019
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On the continuity of rotation representations in neural networks
Yi Zhou, Connelly Barnes, Jingwan Lu, Jimei Yang, and Hao Li · 2019
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Motionet: 3d human motion reconstruction from monocular video with skeleton consistency
Mingyi Shi, Kfir Aberman, Andreas Aristidou, Taku Komura, Dani Lischinski, Daniel Cohen-Or, and Baoquan Chen · 2020
Cited alongside, same era.
Latency and cybersickness: Impact, causes, and measures. a review
Jan-Philipp Stauffert, Florian Niebling, and Marc Erich Latoschik · 2020
TEMOS: Generating diverse human motions from textual descriptions
Mathis Petrovich, Michael J. Black, and Gül Varol · 2022
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Muscle coordination retraining inspired by musculoskeletal simulations reduces knee contact force
Scott D. Uhlrich, Rachel W. Jackson, Ajay Seth, Julie Kolesar, and Scott L. Delp · 2022
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Questsim: Human motion tracking from sparse sensors with simulated avatars
Alexander Winkler, Jungdam Won, and Yuting Ye · 2022
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Physical inertial poser (pip): Physics-aware real-time human motion tracking from sparse inertial sensors
Xinyu Yi, Yuxiao Zhou, Marc Habermann, Soshi Shimada, Vladislav Golyanik, Christian Theobalt, and Feng Xu · 2022
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Motiondiffuse: Text-driven human motion generation with diffusion model
Mingyuan Zhang, Zhongang Cai, Liang Pan, Fangzhou Hong, Xinying Guo, Lei Yang, and Ziwei Liu · 2022
Later among the works it cites.
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The smart-insole dataset: Gait analysis using wearable sensors with a focus on elderly and parkinson’s patients
Chariklia Chatzaki, Vasileios Skaramagkas, Nikolaos Tachos, Georgios Christodoulakis, Evangelia Maniadi, Zinovia Kefalopoulou, Dimitrios I Fotiadis, and Manolis Tsiknakis · 2021
Cited alongside, same era.
Em-pose: 3d human pose estimation from sparse electromagnetic trackers
Manuel Kaufmann, Yi Zhao, Chengcheng Tang, Lingling Tao, Christopher Twigg, Jie Song, Robert Wang, and Otmar Hilliges · 2021
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Action-conditioned 3D human motion synthesis with transformer VAE
Mathis Petrovich, Michael J. Black, and Gül Varol · 2021
Cited alongside, same era.
Humor: 3d human motion model for robust pose estimation
Davis Rempe, Tolga Birdal, Aaron Hertzmann, Jimei Yang, Srinath Sridhar, and Leonidas J. Guibas · 2021
Cited alongside, same era.
Global position prediction for interactive motion capture
Paul Schreiner, Maksym Perepichka, Hayden Lewis, Sune Darkner, Paul G. Kry, Kenny Erleben, and Victor B. Zordan · 2021
Cited alongside, same era.
Denoising diffusion implicit models
Jiaming Song, Chenlin Meng, and Stefano Ermon · 2021
Cited alongside, same era.
Exoskeletons need to react faster than physiological responses to improve standing balance
Owen N Beck, Max K Shepherd, Rish Rastogi, Giovanni Martino, Lena H Ting, and Gregory S Sawicki · 2023
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Avatars grow legs: Generating smooth human motion from sparse tracking inputs with diffusion model
Yuming Du, Robin Kips, Albert Pumarola, Sebastian Starke, Ali Thabet, and Artsiom Sanakoyeu · 2023
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Diffpose: Toward more reliable 3d pose estimation
Jia Gong, Lin Geng Foo, Zhipeng Fan, Qiuhong Ke, Hossein Rahmani, and Jun Liu · 2023
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Diffpose: Multi-hypothesis human pose estimation using diffusion models
Karl Holmquist and Bastian Wandt · 2023
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Flame: free-form language-based motion synthesis & editing
Jihoon Kim, Jiseob Kim, and Sungjoon Choi · 2023
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Ego-body pose estimation via ego-head pose estimation, 2023
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Imuposer: Full-body pose estimation using imus in phones, watches, and earbuds
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State of the art on diffusion models for visual computing
Ryan Po, Wang Yifan, and Vladislav Golyanik et al · 2023
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Lidar-aid inertial poser: Large-scale human motion capture by sparse inertial and lidar sensors
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Human motion diffusion model
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Edge: Editable dance generation from music
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Opencap: Human movement dynamics from smartphone videos
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Egolocate: Real-time motion capture, localization, and mapping with sparse body-mounted sensors
Xinyu Yi, Yuxiao Zhou, Marc Habermann, Vladislav Golyanik, Shaohua Pan, Christian Theobalt, and Feng Xu · 2023
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