Abstract
This project aims at developing an automated framework for depression detection. During a depressive episode, patients suffer from psychomotor retardation and this phenomenon is not only limited to facial activity. In this PhD work, it is hypothesized that such complex affective state can be better represented by integrating information from various uni-modal channels to form a multimodal affective sensing system. The project explores facial dynamics, body expressions such as head movement, relative body part movement etc. in patients with major depressive disorders. The contribution of various channels is assessed and as a final objective, a framework combining discriminative channels for automatic depression analysis is proposed.
| Original language | English |
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| Title of host publication | Proceedings - 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction, ACII 2013 |
| Publisher | IEEE, Institute of Electrical and Electronics Engineers |
| Pages | 630-635 |
| Number of pages | 6 |
| ISBN (Print) | 9780769550480 |
| DOIs | |
| Publication status | Published - 2013 |
| Externally published | Yes |
| Event | International Conference on Affective Computing and Intelligent Interaction 2013 - Geneva, Switzerland Duration: 2 Sep 2013 → 5 Sep 2013 Conference number: 5th https://sn.committees.comsoc.org/journal-conference-publications/the-5th-international-conference-on-affective-computing-and-intelligent-interaction-acii-2013/ |
Conference
| Conference | International Conference on Affective Computing and Intelligent Interaction 2013 |
|---|---|
| Abbreviated title | ACII 2013 |
| Country/Territory | Switzerland |
| City | Geneva |
| Period | 2/09/13 → 5/09/13 |
| Internet address |
Keywords
- Automatic depression detection
- Bag of words
- Body movement analysis
- Facial dynamics