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Task-aware multiple instance learning for stress detection from facial video data
DOI:10.1016/j.jad.2026.121472.png)
Abstract
En 中文
• Video-based facial cues enable non-invasive detection of acute stress. • Learning from weak labels identifies brief stress moments in long videos. • Combining top- and bottom-k video segments improves stress classification. • Attention modelling captures short- and long-term facial stress patterns. • Conditioning on speech activity improves stress detection accuracy.
Keywords:
stress detection
facial video analysis
multiple instance learning
weak labels
attention modelling
Journal
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4.9
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2.1W
Citations:
6.9W

