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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Bibliographic Details
Main Author: Koh, Yoke Teng
Other Authors: Chan Chok You, John
Format: Final Year Project (FYP)
Language:English
Published: 2017
Subjects:
Online Access:http://hdl.handle.net/10356/71617
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author Koh, Yoke Teng
author2 Chan Chok You, John
author_facet Chan Chok You, John
Koh, Yoke Teng
author_sort Koh, Yoke Teng
collection NTU
description 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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format Final Year Project (FYP)
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institution Nanyang Technological University
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spelling ntu-10356/716172023-07-07T16:48:38Z Emotion recognition using soft computing techniques Koh, Yoke Teng Chan Chok You, John Shen Zhongxiang School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering 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. Bachelor of Engineering 2017-05-17T10:28:52Z 2017-05-17T10:28:52Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/71617 en Nanyang Technological University 45 p. application/pdf
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Koh, Yoke Teng
Emotion recognition using soft computing techniques
title Emotion recognition using soft computing techniques
title_full Emotion recognition using soft computing techniques
title_fullStr Emotion recognition using soft computing techniques
title_full_unstemmed Emotion recognition using soft computing techniques
title_short Emotion recognition using soft computing techniques
title_sort emotion recognition using soft computing techniques
topic DRNTU::Engineering::Electrical and electronic engineering
url http://hdl.handle.net/10356/71617
work_keys_str_mv AT kohyoketeng emotionrecognitionusingsoftcomputingtechniques