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Survey of Motion Tracking Methods Based on Inertial Sensors: A Focus on Upper Limb Human Motion
Sensors, 2017 Motion tracking based on commercial inertial measurements units (IMUs) has been widely studied in the latter years as it is a cost-effective enabling technology for those applications in which motion tracking based on optical technologies is unsuitable ...
Alessandro Filippeschi +2 more
exaly +2 more sources
Physical Inertial Poser (PIP): Physics-aware Real-time Human Motion Tracking from Sparse Inertial Sensors [PDF]
Computer Vision and Pattern Recognition, 2022 Motion capture from sparse inertial sensors has shown great potential compared to image-based approaches since occlusions do not lead to a reduced tracking quality and the recording space is not restricted to be within the viewing frustum of the camera ...
Xinyu Yi +6 more
semanticscholar +1 more source
QuestEnvSim: Environment-Aware Simulated Motion Tracking from Sparse Sensors [PDF]
International Conference on Computer Graphics and Interactive Techniques, 2023 Replicating a user’s pose from only wearable sensors is important for many AR/VR applications. Most existing methods for motion tracking avoid environment interaction apart from foot-floor contact due to their complex dynamics and hard constraints ...
Sunmin Lee +4 more
semanticscholar +1 more source
QuestSim: Human Motion Tracking from Sparse Sensors with Simulated Avatars [PDF]
ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia, 2022 Real-time tracking of human body motion is crucial for interactive and immersive experiences in AR/VR. However, very limited sensor data about the body is available from standalone wearable devices such as HMDs (Head Mounted Devices) or AR glasses.
Alexander W. Winkler +2 more
semanticscholar +1 more source
DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on Cardiac Tagging Magnetic Resonance Images [PDF]
Computer Vision and Pattern Recognition, 2021 Cardiac tagging magnetic resonance imaging (t-MRI) is the gold standard for regional myocardium deformation and cardiac strain estimation. However, this technique has not been widely used in clinical diagnosis, as a result of the difficulty of motion ...
Meng Ye +7 more
semanticscholar +1 more source
Avatars Grow Legs: Generating Smooth Human Motion from Sparse Tracking Inputs with Diffusion Model [PDF]
Computer Vision and Pattern Recognition, 2023 With the recent surge in popularity of AR/VR applications, realistic and accurate control of 3D full-body avatars has become a highly demanded feature. A particular challenge is that only a sparse tracking signal is available from standalone HMDs (Head ...
Yuming Du +5 more
semanticscholar +1 more source
DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion [PDF]
Computer Vision and Pattern Recognition, 2021 A typical pipeline for multi-object tracking (MOT) is to use a detector for object localization, and following re-identification (re-ID)for object association.
Pei Sun +6 more
semanticscholar +1 more source
WiTraj: Robust Indoor Motion Tracking With WiFi Signals
IEEE Transactions on Mobile Computing, 2023 WiFi-based device-free motion tracking systems track persons without requiring them to carry any device. Existing work has explored signal parameters such as time-of-flight (ToF), angle-of-arrival (AoA), and Doppler-frequency-shift (DFS) extracted from ...
Dan Wu +7 more
semanticscholar +1 more source
American journal of ophthalmology-glaucoma, 2023 Purpose: To characterize focal biomechanical differences between normal, keratoconic, and post-laser vision correction corneas using motion tracking Brillouin microscopy. Design: Prospective cross-sectional study Methods: Thirty eyes from 30 patients (10
Hongyuan Zhang +5 more
semanticscholar +1 more source
Beyond 3D Siamese Tracking: A Motion-Centric Paradigm for 3D Single Object Tracking in Point Clouds [PDF]
Computer Vision and Pattern Recognition, 2022 3D single object tracking (3D SOT) in LiDAR point clouds plays a crucial role in autonomous driving. Current approaches all follow the Siamese paradigm based on appearance matching.
Chaoda Zheng +6 more
semanticscholar +1 more source