EEG-powered cerebral transformer for athletic performance
The significance of this study lies in providing a more comprehensive and efficient solution for sports performance analysis. Through cross-modal data fusion, it not only improves the accuracy of complex movement recognition but also provides technical support for monitoring athletes' neural states, offering important applications in sports training and medical rehabilitation.
Authors
- Qingfeng Sun (ORCID: https://orcid.org/0000-0003-3520-4970)
Institutions
- Zhejiang A & F University (CN)
Publication Details
- Journal
- Frontiers in Neurorobotics
- Published
- 2024-12-20
- DOI
- https://doi.org/10.3389/fnbot.2024.1499734
- Citations
- 1
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 0.34