Sports-ACtrans Net: research on multimodal robotic sports action recognition driven via ST-GCN
Experiments demonstrate significant improvements over state-of-the-art methods. This research advances the fields of neural computation, computer vision, and neuroscience, aiding in the development of intelligent robotic systems capable of understanding and participating in sports activities.
Authors
- Qi Lu (ORCID: https://orcid.org/0000-0003-4659-1443)
Institutions
- Henan Polytechnic University (CN)
Publication Details
- Journal
- Frontiers in Neurorobotics
- Published
- 2024-10-11
- DOI
- https://doi.org/10.3389/fnbot.2024.1443432
- Citations
- 7
- Primary Topic
- Human Pose and Action Recognition
- Type
- article
- Field-Weighted Citation Impact
- 1.74