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Wearable biosensors for real-time sweat analysis and body motion capture based on stretchable fiber-based triboelectric nanogenerators.

Biosensors & bioelectronics, 2022
Carbon neutrality is a global green energy revolution meaning that the carbon dioxide can make ends meet. However, with the mushroom of the fifth generation wireless systems (5G) and the Internet of Things (IoT), it is a great challenge for powering the ...
Tianming Zhao   +8 more
semanticscholar   +1 more source

Clothing condition does not affect meaningful clinical interpretation in markerless motion capture.

Journal of Biomechanics, 2022
Markerless motion capture allows whole-body movements to be captured without the need for physical markers to be placed on the body. This enables motion capture analyses to be conducted in more ecologically valid environments.
Vajra Keller   +4 more
semanticscholar   +1 more source

Real-Time Human Motion Capture Based on Wearable Inertial Sensor Networks

IEEE Internet of Things Journal, 2022
Wearable inertial motion capture, a new type of motion capture technology, mainly estimates the human posture in 3-D space through multisensor data fusion. The available method for sensor fusion is usually aided by magnetometers to remove the drift error
Jie Li   +9 more
semanticscholar   +1 more source

Cloth Motion Capture

Computer Graphics Forum, 2003
Abstract Recent years have seen an increased interest in motion capture systems. Current systems, however, are limitedto only a few degrees of freedom, so that effectively only the motion of linked rigid bodies can be acquired. Wepresent a system for the capture of deformable surfaces, most notably moving cloth, including both geometry ...
David Pritchard, Wolfgang Heidrich
openaire   +1 more source

Motion capture anisotropy

Vision Research, 1987
Two uncorrelated random dot patterns were superimposed and alternated to produce dynamic incoherent noise. When a low spatial frequency sine wave grating was optically superimposed on this noise and moved in step with the alternation of the two frames, the incoherent motion was masked and all the dots were seen to adhere to the grating and to move with
V S, Ramachandran, P, Cavanagh
openaire   +2 more sources

Motion Capture Data Denoising Based on LSTNet Autoencoder

網際網路技術學刊, 2022
This paper proposes a novel deep learning-based optical motion capture denoising model encoder-LSTNet- decoder (ELD). ELD uses an autoencoder for manifold learning and decoder to remove jitter noise and missing noise effectively.
Yong-Qiong Zhu Yong-Qiong Zhu   +2 more
semanticscholar   +1 more source

SportsCap: Monocular 3D Human Motion Capture and Fine-Grained Understanding in Challenging Sports Videos

International Journal of Computer Vision, 2021
Markerless motion capture and understanding of professional non-daily human movements is an important yet unsolved task, which suffers from complex motion patterns and severe self-occlusion, especially for the monocular setting. In this paper, we propose
Xin Chen   +5 more
semanticscholar   +1 more source

Motion, Captured

Proceedings of the 3rd International Symposium on Movement and Computing, 2016
This paper begins to describe a new kind of database, one that explores a diverse range of movement in the field of dance through capture of different bodies and different backgrounds - or what we are terming movement vernaculars. We re-purpose Ivan Illich's concept of 'vernacular work' [11] here to refer to those everyday forms of dance and organized ...
Varsha Iyengar   +3 more
openaire   +1 more source

Are Wearable Sensors Valid and Reliable for Studying the Baseball Pitching Motion? An Independent Comparison With Marker-Based Motion Capture

American Journal of Sports Medicine, 2021
Background: In recent years, the prevalence of medial ulnar collateral ligament injuries has increased in throwers of all ages and skill levels. The motusBASEBALL sensor possesses an inertial measurement unit (IMU) that has been developed and applied to ...
Christopher L. Camp   +5 more
semanticscholar   +1 more source

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