Abstract
In this paper, a human body part motion analysis based approach is proposed for depression analysis. Depression is a serious psychological disorder. The absence of an (automated) objective diagnostic aid for depression leads to a range of subjective biases in initial diagnosis and ongoing monitoring. Researchers in the affective computing community have approached the depression detection problem using facial dynamics and vocal prosody. Recent works in affective computing have shown the significance of body pose and motion in analysing the psychological state of a person. Inspired by these works, we explore a body parts motion based approach. Relative orientation and radius are computed for the body parts detected using the pictorial structures framework. A histogram of relative parts motion is computed. To analyse the motion on a holistic level, space-time interest points are computed and a bag of words framework is learnt. The two histograms are fused and a support vector machine classifier is trained. The experiments conducted on a clinical database, prove the effectiveness of the proposed method.
Original language | English |
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Title of host publication | Proceedings - 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction, ACII 2013 |
Pages | 492-497 |
Number of pages | 6 |
DOIs | |
Publication status | Published - 1 Dec 2013 |
Externally published | Yes |
Event | International Conference on Affective Computing and Intelligent Interaction 2013 - Geneva, Switzerland Duration: 2 Sept 2013 → 5 Sept 2013 Conference number: 5th https://sn.committees.comsoc.org/journal-conference-publications/the-5th-international-conference-on-affective-computing-and-intelligent-interaction-acii-2013/ |
Publication series
Name | Proceedings - 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction, ACII 2013 |
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Conference
Conference | International Conference on Affective Computing and Intelligent Interaction 2013 |
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Abbreviated title | ACII 2013 |
Country/Territory | Switzerland |
City | Geneva |
Period | 2/09/13 → 5/09/13 |
Internet address |
Keywords
- Automatic depression detection
- Body movement analysis