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https://hdl.handle.net/10356/69371
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Chen, Siyao | - |
dc.date.accessioned | 2016-12-20T06:20:55Z | - |
dc.date.available | 2016-12-20T06:20:55Z | - |
dc.date.issued | 2016 | - |
dc.identifier.uri | http://hdl.handle.net/10356/69371 | - |
dc.description.abstract | This project aims to using soft computing techniques to designed and develop emotion recognition. The emotion detection technique is become more demand of being used in a various of applications. The developed techniques will be test on a health-care service robot for Geriatric Care of elderly people. It will focus on combing real - time face recognition and detection techniques such as Viola-Jones Algorithm and Principal Component Analysis (PCA) method. Then base on the face detection techniques to discover emotion recognition. Afterwards, compare between two method and find the efficient and higher accuracy method for facial emotion recognition. | en_US |
dc.format.extent | 43 p. | en_US |
dc.language.iso | en | en_US |
dc.rights | Nanyang Technological University | - |
dc.subject | DRNTU::Engineering | en_US |
dc.title | Emotion recognition use soft computing techniques | en_US |
dc.type | Final Year Project (FYP) | en_US |
dc.contributor.supervisor | Er Meng Joo | en_US |
dc.contributor.school | School of Electrical and Electronic Engineering | en_US |
dc.description.degree | Bachelor of Engineering | en_US |
dc.contributor.supervisor2 | Er Meng Joo | en_US |
item.fulltext | With Fulltext | - |
item.grantfulltext | restricted | - |
Appears in Collections: | EEE Student Reports (FYP/IA/PA/PI) |
Files in This Item:
File | Description | Size | Format | |
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FYP report.pdf Restricted Access | 1.3 MB | Adobe PDF | View/Open |
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