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| dc.contributor.author | Syed Hassan Faraz, 01-244131-030 | |
| dc.date.accessioned | 2017-07-20T07:38:40Z | |
| dc.date.available | 2017-07-20T07:38:40Z | |
| dc.date.issued | 2015 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/2867 | |
| dc.description | Supervised by Dr. Tamim Ahmed | en_US |
| dc.description.abstract | Facial Expression is observable manifestation of personality, intention and cognitive activity. Human face contains potential amount of useful information. The facial expressions employ several cognitive processes. The facial expressions are not simply spontaneous, but also have a communicative element. For example if someone is in pain then re exive response of face can annotate that. It is need of time to draw that information presented on human face. Communication can also be established between human with non-verbal cues and facial expressions can anticipate in this communication. Facial expressions are produced with ostensive gestures raised by eyebrow ash, lips position. Close analysis of facial expressions can illustrate clearly the role of behavior while communication. Facial expressions may have arbitrary information associated with each movement of facial part. Sometimes this can make other's to assume multiple emotion with equal intensity on face at a same moment. This indicate the presence of complex facial expression. Facial expressions are public information that could be captured by observer. For that reason several security, clinical applications can be derived. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Software Engineering, Bahria University Engineering School Islamabad | en_US |
| dc.relation.ispartofseries | MS SE;T-0705 | |
| dc.subject | Software Engineering | en_US |
| dc.title | Human emotion recognition from facial expression (T-0705) (MFN 4229) | en_US |
| dc.type | MS Thesis | en_US |