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Task-aware multiple instance learning for stress detection from facial video data

delete2026-02-20
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PRE
AI
N
Nele Brügge *
Α
Αλεξάνδρα Κορδά
H
Heinz Handels
G
Giorgos Giannakakis
DOI:10.1016/j.jad.2026.121472delete
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Abstract

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

Journal of Affective Disorders cover
Journal of Affective Disorders
IF:
4.9
Papers:
2.1W
Citations:
6.9W

Organization

G
German Research Center for Artificial Intelligence
Scholars:
51
Papers: 22
Citations: 1
U
university of luebeck
Scholars:
163
Papers: 61
Citations: 0
H
hellenic mediterranean university
Scholars:
144
Papers: 59
Citations: 0
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