Emotion recognition using soft computing techniques
This Project is a study of emotion recognition of human that can be used in the healthcare sector. In this project, I developed an understanding on Viola Jones algorithm, Principal component Analysis (PCA), Neural Network and Back-Propagation algorithm. For face detection Viola Jones was used and it...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
2017
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| Online Access: | http://hdl.handle.net/10356/71617 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | This Project is a study of emotion recognition of human that can be used in the healthcare sector. In this project, I developed an understanding on Viola Jones algorithm, Principal component Analysis (PCA), Neural Network and Back-Propagation algorithm. For face detection Viola Jones was used and it includes the used of AdaBoost to extract the useful features and dispose the redundant features. PCA is mainly used to compress the image and reduce large data space. Database is also need to store the image taken and make comparison another image to detect what emotion is identified. |
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