LiDAR-aid Inertial Poser: Large-scale Human Motion Capture by Sparse Inertial and LiDAR Sensors [PDF]
IEEE Transactions on Visualization and Computer Graphics, 2022 We propose a multi-sensor fusion method for capturing challenging 3D human motions with accurate consecutive local poses and global trajectories in large-scale scenarios, only using single LiDAR and 4 IMUs, which are set up conveniently and worn lightly.
Yiming Ren +7 more
semanticscholar +1 more source
HULC: 3D Human Motion Capture with Pose Manifold Sampling and Dense Contact Guidance [PDF]
European Conference on Computer Vision, 2022 Marker-less monocular 3D human motion capture (MoCap) with scene interactions is a challenging research topic relevant for extended reality, robotics and virtual avatar generation.
Soshi Shimada +5 more
semanticscholar +1 more source
MoCapDeform: Monocular 3D Human Motion Capture in Deformable Scenes [PDF]
International Conference on 3D Vision, 2022 3D human motion capture from monocular RGB images respecting interactions of a subject with complex and possibly deformable environments is a very challenging, illposed and under-explored problem.
Zhi Li +4 more
semanticscholar +1 more source
Dealing with Magnetic Disturbances in Human Motion Capture: A Survey of Techniques. [PDF]
Micromachines (Basel), 2016 Magnetic-Inertial Measurement Units (MIMUs) based on microelectromechanical (MEMS) technologies are widespread in contexts such as human motion tracking.
Ligorio G, Sabatini AM.
europepmc +2 more sources
Human motion capture, reconstruction, and musculoskeletal analysis in real time
Multibody system dynamics, 2023 Optical motion capture is an essential tool for the study and analysis of human movement. Currently, most manufacturers of motion-capture systems provide software applications for reconstructing the movement in real time, thus allowing for on-the-fly ...
U. Lugrís +3 more
semanticscholar +1 more source
Sensor network oriented human motion capture via wearable intelligent system
International Journal of Intelligent Systems, 2021 Using inertial measurement units mounted on foot is a feasible approach to improve the positioning accuracy for the human motion capture system. This paper presents a lightweight and low cost wireless inertial motion capture system for the simultaneous ...
S. Qiu +6 more
semanticscholar +1 more source
AirCapRL: Autonomous Aerial Human Motion Capture Using Deep Reinforcement Learning [PDF]
IEEE Robotics and Automation Letters, 2020 In this letter, we introduce a deep reinforcement learning (DRL) based multi-robot formation controller for the task of autonomous aerial human motion capture (MoCap).
Rahul Tallamraju +6 more
semanticscholar +1 more source
EventEgo3D: 3D Human Motion Capture from Egocentric Event Streams [PDF]
Computer Vision and Pattern RecognitionMonocular egocentric 3D human motion capture is a challenging and actively researched problem. Existing methods use synchronously operating visual sensors (e.g.
Christen Millerdurai +5 more
semanticscholar +1 more source
Physical Non-inertial Poser (PNP): Modeling Non-inertial Effects in Sparse-inertial Human Motion Capture [PDF]
International Conference on Computer Graphics and Interactive TechniquesExisting inertial motion capture techniques use the human root coordinate frame to estimate local poses and treat it as an inertial frame by default. We argue that when the root has linear acceleration or rotation, the root frame should be considered non-
Xinyu Yi, Yuxiao Zhou, Feng Xu
semanticscholar +1 more source
EURASIP Journal on Advances in Signal Processing, 2021 Taking human movements has very good prospects of application in sports, animated projects, medicine and health and other areas. This article aims to study the human motion capture system in sports performances based on the Internet of Things technology ...
Wenfeng Xu
doaj +1 more source