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We present a lightweight and affordable motion capture method based on two smartwatches and a head-mounted camera.
Documentation mocap database hdm05
Meinard Müller, Tido Röder, Michael Clausen, Bernhard Eberhardt, Björn Krüger, and Andreas Weber · 2007
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Seeing invisible poses: Estimating 3d body pose from egocentric video
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Decoupled weight decay regularization
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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
Matthew Trumble, Andrew Gilbert, Charles Malleson, Adrian Hilton, and John Collomosse · 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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Recovering accurate 3d human pose in the wild using imus and a moving camera
Timo Von Marcard, Roberto Henschel, Michael J Black, Bodo Rosenhahn, and Gerard Pons-Moll · 2018
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3d ego-pose estimation via imitation learning
Ye Yuan and Kris Kitani · 2018
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Andrew Gilbert, Matthew Trumble, Charles Malleson, Adrian Hilton, and John Collomosse · 2019
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Mediapipe: A framework for building perception pipelines
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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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Pytorch: An imperative style, high-performance deep learning library
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Mo 2 cap 2: Real-time mobile 3d motion capture with a cap-mounted fisheye camera
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Ego-pose estimation and forecasting as real-time pd control
Ye Yuan and Kris Kitani · 2019
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Dynamics-regulated kinematic policy for egocentric pose estimation
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DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras
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Estimating egocentric 3d human pose in global space
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Dongseok Yang, Doyeon Kim, and Sung-Hee Lee · 2021
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Xinyu Yi, Yuxiao Zhou, and Feng Xu · 2021
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Lightweight multi-person total motion capture using sparse multi-view cameras
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On the continuity of rotation representations in neural networks
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fairmotion - tools to load, process and visualize motion capture data
Deepak Gopinath and Jungdam Won · 2020
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Robust motion in-betweening
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Real-time multi-person motion capture from multi-view video and imus
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Transformer inertial poser: Real-time human motion reconstruction from sparse imus with simultaneous terrain generation
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Physical inertial poser (pip): Physics-aware real-time human motion tracking from sparse inertial sensors
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Learning-rate-free learning by d-adaptation
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Locomotion-action-manipulation: Synthesizing human-scene interactions in complex 3d environments
Jiye Lee and Hanbyul Joo · 2023
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Questenvsim: Environment-aware simulated motion tracking from sparse sensors
Sunmin Lee, Sebastian Starke, Yuting Ye, Jungdam Won, and Alexander Winkler · 2023
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Ego-body pose estimation via ego-head pose estimation
Jiaman Li, Karen Liu, and Jiajun Wu · 2023
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Scene-aware egocentric 3d human pose estimation
Jian Wang, Diogo Luvizon, Weipeng Xu, Lingjie Liu, Kripasindhu Sarkar, and Christian Theobalt · 2023
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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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