| dc.contributor.author | 03-134162-083, IRHAN KHALID SALEEM | |
| dc.date.accessioned | 2024-10-24T07:28:23Z | |
| dc.date.available | 2024-10-24T07:28:23Z | |
| dc.date.issued | 2020-07-20 | |
| dc.identifier.other | BULC607 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/18207 | |
| dc.description | Supervisor: Dr. Iram Noreen | en_US |
| dc.description.abstract | Facial emotion detection is a feasible project for retrieving information about human emotions through Artificial Intelligence and Machine Learning. The algorithm takes facial images as input, tracks emotions and gives the closest emotional state as output. The following used study is proposed to prepare open-source website that helps to identify physical emotions. This may be done by the Appearance-Based approach based on a Deep Learning Method. For this, neural networks may be used. This may be able to detect and identify only physical emotions and is unable to detect and identify inner emotions that a person may be experiencing. This can further be enhanced in the future to detect, identify and diagnose mental diseases and identify social/psychological interaction detect. It may be done by open-source datasets and training algorithms and may help automate emotion detection. | en_US |
| dc.language.iso | en | en_US |
| dc.relation.ispartofseries | ;BULC607 | |
| dc.title | Facial Emotion Detection | en_US |
| dc.type | Annual Reports | en_US |