Pose2met: a unified spatiotemporal framework for 3D human pose estimation and energy expenditure estimation
The results highlight the importance of high-quality motion representations for both HPE and EEE. Pose2Met shows strong potential for intelligent fitness and healthcare applications and offers a promising direction for bridging the gap between pose and expenditure estimation.
Authors
- Zihao Zhang
- Zhongteng Zhang
- Liu Zhang
- Weihong Huang
- Qing Peng
Institutions
- Central South University (CN)
- China Mobile (China) (CN)
- Xiangya Hospital Central South University (CN)
Publication Details
- Journal
- Health Information Science and Systems
- Published
- 2026-02-01
- DOI
- https://doi.org/10.1007/s13755-025-00422-x
- Primary Topic
- Human Pose and Action Recognition
- Type
- article
- Field-Weighted Citation Impact
- 0.00