ArticleScientific reports2024
Sensing emotional valence and arousal dynamics through automated facial action unit analysis.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Bouncing back from stress: objective markers of expressive flexibility and resilience in emergency healthcare workers using computer vision.NPP - digital psychiatry and neuroscience · 2026Article
- Neural network dynamics associated with facial and subjective emotional responses.Communications biology · 2025Article
- An Artificial Intelligence Model for Sensing Affective Valence and Arousal from Facial Images.Sensors (Basel, Switzerland) · 2025Article
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6 authors.
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Abstract
Information about the concordance between dynamic emotional experiences and objective signals is practically useful. Previous studies have shown that valence dynamics can be estimated by recording electrical activity from the muscles in the brows and cheeks. However, whether facial actions based on video data and analyzed without electrodes can be used for sensing emotion dynamics remains unknown. We investigated this issue by recording video of participants' faces and obtaining dynamic valence and arousal ratings while they observed emotional films. Action units (AUs) 04 (i.e., brow lowering) and 12 (i.e., lip-corner pulling), detected through an automated analysis of the video data, were negatively and positively correlated with dynamic ratings of subjective valence, respectively. Several other AUs were also correlated with dynamic valence or arousal ratings. Random forest regression modeling, interpreted using the SHapley Additive exPlanation tool, revealed non-linear associations between the AUs and dynamic ratings of valence or arousal. These results suggest that an automated analysis of facial expression video data can be used to estimate dynamic emotional states, which could be applied in various fields including mental health diagnosis, security monitoring, and education.
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