Stress and anxiety detection using facial cues from videos
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- 作者：G. Giannakakisa ; ggian@ics.forth.gr" class="auth_mail" title="E-mail the corresponding author ; M. Pediaditisa ; mped@ics.forth.gr" class="auth_mail" title="E-mail the corresponding author ; D. Manousosa ; mandim@ics.forth.gr" class="auth_mail" title="E-mail the corresponding author ; E. Kazantzakia ; elenikaz@ics.forth.gr" class="auth_mail" title="E-mail the corresponding author ; F. Chiarugia ; chiarugi@ics.forth.gr" class="auth_mail" title="E-mail the corresponding author ; P.G. Simosb ; a ; akis.simos@gmail.com" class="auth_mail" title="E-mail the corresponding author ; K. Mariasa ; kmarias@ics.forth.gr" class="auth_mail" title="E-mail the corresponding author ; M. Tsiknakisa ; c ; tsiknaki@ics.forth.gr" class="auth_mail" title="E-mail the corresponding author
- 关键词：Facial cues ; Emotion recognition ; Anxiety ; Stress ; Blink rate ; Head motion
- 刊名：Biomedical Signal Processing and Control
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：31
- 期：Complete
- 页码：89-101
- 全文大小：1852 K
文摘
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A framework for stress detection through video recorded facial cues is proposed.
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A thorough experiment using external and internal stressors is established.
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Analysis relies on semi-voluntary facial features instead of facial expressions.
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Relationship between participants self reports and facial signs is estimated.
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Facial cues implicated in stress/anxiety are identified using machine learning techniques.