Vision-based multimodal energy expenditure estimation for aerobic exercise in adults
Extensive experimentation validates the effectiveness of E3SFormer, aiming to inspire further research in contactless measurement for EE. This study is the first attempt to estimating EE using Transformer, which can promote contactless and multi-modal physiology analysis for aerobic exercise.
Authors
- Mingli Song (ORCID: https://orcid.org/0000-0003-2621-6048)
- Long Yu (ORCID: https://orcid.org/0000-0002-9038-4129)
- Wen Xu (ORCID: https://orcid.org/0000-0002-8258-2707)
- Shengxuming Zhang (ORCID: https://orcid.org/0000-0002-8827-9012)
- M. Shi (ORCID: https://orcid.org/0009-0001-3353-328X)
- Mengyao Wang (ORCID: https://orcid.org/0000-0002-9085-3749)
- Lei Jin (ORCID: https://orcid.org/0000-0002-7710-353X)
Institutions
- Zhejiang University of Science and Technology (CN)
- China Mobile (China) (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- Frontiers in Physiology
- Published
- 2025-10-08
- DOI
- https://doi.org/10.3389/fphys.2025.1666616
- Primary Topic
- Human Pose and Action Recognition
- Type
- article
- Field-Weighted Citation Impact
- 0.00