Image-based center of mass estimation of the human body via 3D shape and kinematic structure
This paper presents a method to estimate a time-sequential trajectory of the center of mass (CoM) of an athlete from a multi-view set of cameras. Collecting the CoM typically requires large-scale measuring systems or attaching sensors to the athletes. To mitigate such hardware limitations, the present study takes a multi-view video-based approach. The proposed method reconstructs subjects` voxels from a set of multi-view frames and weights each voxel with body part-dependent weights to calculate a CoM. Our results, using real data measured in a studio, showed that the proposed method can estimate CoM within 20 mm concerning center of pressure measures.
© Copyright 2019 Sports Engineering. The Faculty of Health & Wellbeing, Sheffield Hallam University. All rights reserved.
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| Notations: | technical and natural sciences |
| Published in: | Sports Engineering |
| Language: | English |
| Published: |
2019
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| Online Access: | https://doi.org/10.1007/s12283-019-0309-2 |
| Volume: | 22 |
| Issue: | 3-4 |
| Pages: | 17 |
| Document types: | article |
| Level: | advanced |