Emotion recognition using soft computing techniques

This paper uses the Matlab object algorithm for real-time face detection and recognition and further do the emotion recognition. The algorithm is implemented using a range of signal processing methods, including Haar-like feature, Ada Boost, cascade classifier and Principal Component Analysis (PCA)....

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Bibliographic Details
Main Author:	Chen, Mengling
Other Authors:	Teoh Eam Khwang
Format:	Final Year Project
Language:	English
Published:	2019
Subjects:	DRNTU::Engineering::Electrical and electronic engineering
Online Access:	http://hdl.handle.net/10356/78119
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Institution:	Nanyang Technological University
Language:	English

id	sg-ntu-dr.10356-78119
record_format	dspace
spelling	sg-ntu-dr.10356-781192023-07-07T17:17:08Z Emotion recognition using soft computing techniques Chen, Mengling Teoh Eam Khwang School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering This paper uses the Matlab object algorithm for real-time face detection and recognition and further do the emotion recognition. The algorithm is implemented using a range of signal processing methods, including Haar-like feature, Ada Boost, cascade classifier and Principal Component Analysis (PCA). The subject of this paper is to present a real time application system using Matlab face recognition algorithms. The developed techniques can be tested on a healthcare service robot for Geriatric care of elderly people. Bachelor of Engineering (Electrical and Electronic Engineering) 2019-06-12T05:43:25Z 2019-06-12T05:43:25Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/78119 en Nanyang Technological University 49 p. application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
language	English
topic	DRNTU::Engineering::Electrical and electronic engineering
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering Chen, Mengling Emotion recognition using soft computing techniques
description	This paper uses the Matlab object algorithm for real-time face detection and recognition and further do the emotion recognition. The algorithm is implemented using a range of signal processing methods, including Haar-like feature, Ada Boost, cascade classifier and Principal Component Analysis (PCA). The subject of this paper is to present a real time application system using Matlab face recognition algorithms. The developed techniques can be tested on a healthcare service robot for Geriatric care of elderly people.
author2	Teoh Eam Khwang
author_facet	Teoh Eam Khwang Chen, Mengling
format	Final Year Project
author	Chen, Mengling
author_sort	Chen, Mengling
title	Emotion recognition using soft computing techniques
title_short	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_sort	emotion recognition using soft computing techniques
publishDate	2019
url	http://hdl.handle.net/10356/78119
_version_	1772825973611298816

Emotion recognition using soft computing techniques

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