Emotion recognition use soft computing techniques

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 pe...

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Váldodahkki: Chen, Siyao
Eará dahkkit: Er Meng Joo
Materiálatiipa: Final Year Project (FYP)
Giella:English
Almmustuhtton: 2016
Fáttát:
Liŋkkat:http://hdl.handle.net/10356/69371
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author Chen, Siyao
author2 Er Meng Joo
author_facet Er Meng Joo
Chen, Siyao
author_sort Chen, Siyao
collection NTU
description 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.
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format Final Year Project (FYP)
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institution Nanyang Technological University
language English
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publishDate 2016
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spelling ntu-10356/693712023-07-07T15:42:34Z Emotion recognition use soft computing techniques Chen, Siyao Er Meng Joo School of Electrical and Electronic Engineering Er Meng Joo DRNTU::Engineering 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. Bachelor of Engineering 2016-12-20T06:20:55Z 2016-12-20T06:20:55Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/69371 en Nanyang Technological University 43 p. application/pdf
spellingShingle DRNTU::Engineering
Chen, Siyao
Emotion recognition use soft computing techniques
title Emotion recognition use soft computing techniques
title_full Emotion recognition use soft computing techniques
title_fullStr Emotion recognition use soft computing techniques
title_full_unstemmed Emotion recognition use soft computing techniques
title_short Emotion recognition use soft computing techniques
title_sort emotion recognition use soft computing techniques
topic DRNTU::Engineering
url http://hdl.handle.net/10356/69371
work_keys_str_mv AT chensiyao emotionrecognitionusesoftcomputingtechniques