| dc.contributor.author | Nor Surayahani, B. S. | |
| dc.contributor.author | Hermila, M. A. | |
| dc.date.accessioned | 2010-08-12T03:36:01Z | |
| dc.date.available | 2010-08-12T03:36:01Z | |
| dc.date.issued | 2009-06-20 | |
| dc.identifier.citation | p.1-4 | en_US |
| dc.identifier.uri | http://dspace.unimap.edu.my/123456789/8609 | |
| dc.description | MUCEET 2009 is organized by Malaysian Technical Universities Network (MTUN) comprising of Universiti Malaysia Perlis (UniMAP), Universiti Tun Hussein Onn (UTHM), Universiti Teknikal Melaka (UTeM) and Universiti Malaysia Pahang (UMP), 20th - 22nd June 2009 at M. S. Garden Hotel, Kuantan, Pahang. | en_US |
| dc.description.abstract | This paper describes the emotion
recognition to determine the driver’s conditions.
The emotion recognition could be envisioned to
sense the driver emotions automatically through a
camera. Therefore, facial images were analyzed to
extract the features to characterize the variations
between facial emotions images. The features
extraction techniques apply was Principal
Component Analysis (PCA), this algorithm finds
the principle components of the covariance matrix
of a set of face images. Then, the eigenvalues
component will be used as an input to the KNearest
Neighbor (KNN) classifier. The facial
expression recognition used to investigate the
emotion and thus carry out an awareness system
for drivers to perform an appropriate intervention
system. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Universiti Malaysia Pahang (UMP) | en_US |
| dc.relation.ispartofseries | Proceedings of the Malaysian Technical Universities Conference on Engineering and Technology (MUCEET) 2009 | en_US |
| dc.subject | Emotions recognition | en_US |
| dc.subject | Principal Component Analysis (PCA) | en_US |
| dc.subject | Malaysian Technical Universities Conference on Engineering and Technology (MUCEET) | en_US |
| dc.title | Classifying driver facial emotions | en_US |
| dc.type | Working Paper | en_US |
