| dc.contributor.author | Kartigayan, M. | |
| dc.contributor.author | Mohamed Rizon, Mohamed Juhari | |
| dc.contributor.author | Sazali, Yaacob | |
| dc.contributor.author | Nagarajan, R. | |
| dc.date.accessioned | 2009-07-07T08:37:45Z | |
| dc.date.available | 2009-07-07T08:37:45Z | |
| dc.date.issued | 2006-01-23 | |
| dc.identifier.uri | http://dspace.unimap.edu.my/123456789/6348 | |
| dc.description | Organized by Oita University (Japan), 23rd - 25th January 2006 at Oita, Japan. | en_US |
| dc.description.abstract | The facial emotion is playing a vital role in visual communication system. The vision system is being integrated to the robot to recognize the facial gestures or emotion. The integration of the vision system and EMG sensors enables designing advanced emotion recognition package. The main objective of the paper is to discuss the various types of feature extraction and recognition system for face emotion and its application. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Oita University | en_US |
| dc.relation.ispartofseries | The International Symposium on Articial Life and Robotics (AROB2006) | en_US |
| dc.subject | Face Emotion Recognition (FER) | en_US |
| dc.subject | Detectors | en_US |
| dc.subject | Neural network | en_US |
| dc.subject | Recognition system | en_US |
| dc.subject | Face emotion | en_US |
| dc.title | Face Emotion Recognition - A survey | en_US |
| dc.type | Working Paper | en_US |
