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.

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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

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article

Enhancing action recognition in educational settings using AI-driven information systems for public health monitoring

Changchun Lu, Han Ruijuan
Frontiers in Public Health
Context-Aware Activity Recognition Systems
article

Enhancing action recognition in educational settings using AI-driven information systems for public health monitoring

Changchun Lu, Han Ruijuan
article en

Abstract

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.

Frontiers in Public HealthVol. 13
Shihezi University (CN), Leshan Normal University (CN)
National Social Science Fund of China
Openalex Percentile: Top 85%
Context-Aware Activity Recognition Systems
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