Enhancing action recognition in educational settings using AI-driven information systems for public health monitoring
Experimental results validate the system's superior performance over conventional approaches, demonstrating its ability to recognize complex behavioral patterns in educational settings. This innovation represents a significant step forward in AI-driven public health monitoring, fostering a safer and more responsive learning environment.
Authors
- Changchun Lu
- Han Ruijuan
Institutions
- Shihezi University (CN)
- Leshan Normal University (CN)
Publication Details
- Journal
- Frontiers in Public Health
- Published
- 2025-07-14
- DOI
- https://doi.org/10.3389/fpubh.2025.1592228
- Primary Topic
- Context-Aware Activity Recognition Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Social Science Fund of China