Abstract
This paper presents an emotion mapping system that attempts to emulate human brain reference model. The system first locates the human face in an image, and then identifies the localized face emotion. The understanding of cognitive system is presented in the paper. It highlights how individual module is mapped to the proposed system. Then, single- and multi-layer self-organizing emotion maps are described. The system is evaluated through various test sets. The experimental results show encouraging hit rates for identifying emotions of unknown subjects.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2007 International Conference on Artificial Intelligence, ICAI 2007 |
| Pages | 132-137 |
| Number of pages | 6 |
| Publication status | Published - 2007 |
| Externally published | Yes |
| Event | 2007 International Conference on Artificial Intelligence, ICAI 2007 - Las Vegas, NV, United States Duration: 25 Jun 2007 → 28 Jun 2007 |
Publication series
| Name | Proceedings of the 2007 International Conference on Artificial Intelligence, ICAI 2007 |
|---|---|
| Volume | 1 |
Conference
| Conference | 2007 International Conference on Artificial Intelligence, ICAI 2007 |
|---|---|
| Country/Territory | United States |
| City | Las Vegas, NV |
| Period | 25/06/07 → 28/06/07 |
Keywords
- Face emotion recognition
- Gabor feature extraction
- Self organizing map
ASJC Scopus subject areas
- Artificial Intelligence
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Cho, S. Y., & Nguwi, Y. Y. (2007). Self-organizing adaptation for facial emotion mapping. In Proceedings of the 2007 International Conference on Artificial Intelligence, ICAI 2007 (pp. 132-137). (Proceedings of the 2007 International Conference on Artificial Intelligence, ICAI 2007; Vol. 1).