Facial recognition and analysis: A machine learning-based pathway to corporate mental health management

These techniques improved the across diverse emotional expressions, resulting in more accurate and robust emotion recognition. When deployed in a corporate environment, the system successfully monitored employees' emotional trends, identified potential risks, and provided actionable insights into early intervention. This study contributes to advancing corporate mental health management and lays the foundation for scalable emotion-based support systems in organizational settings.

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Publication Details

Journal
Digital Health
Published
2025-04-01
DOI
https://doi.org/10.1177/20552076251335542
Citations
2
Primary Topic
Emotion and Mood Recognition
Type
article
Field-Weighted Citation Impact
4.24
Controls
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article

Facial recognition and analysis: A machine learning-based pathway to corporate mental health management

Zicheng Zhang, Tianshu Zhang, Jie Yang
2 citations
Digital Health
Emotion and Mood Recognition
4.24
article

Facial recognition and analysis: A machine learning-based pathway to corporate mental health management

Zicheng Zhang, Tianshu Zhang, Jie Yang
article en
2 citations

Abstract

These techniques improved the across diverse emotional expressions, resulting in more accurate and robust emotion recognition. When deployed in a corporate environment, the system successfully monitored employees' emotional trends, identified potential risks, and provided actionable insights into early intervention. This study contributes to advancing corporate mental health management and lays the foundation for scalable emotion-based support systems in organizational settings.

Digital HealthVol. 11
Nanjing University of Posts and Telecommunications (CN), Jiangsu Industry Technology Research Institute (CN), Nanjing University (CN)
Decent work and economic growth
Openalex Percentile: Top 7%
Emotion and Mood Recognition
4.24
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