Identifying different facial expressions from Kinect

This project aims to differentiate human emotions by analyzing their facial expressions. In this project, subjects will be invited to take part in an experiment where their facial expressions will be captured while watching various types of movies. These movies aim to evoke different responses from...

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Bibliographic Details
Main Author: Zhang, Liquan
Other Authors: Justin Dauwels
Format: Final Year Project (FYP)
Language:English
Published: 2015
Subjects:
Online Access:http://hdl.handle.net/10356/64632
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author Zhang, Liquan
author2 Justin Dauwels
author_facet Justin Dauwels
Zhang, Liquan
author_sort Zhang, Liquan
collection NTU
description This project aims to differentiate human emotions by analyzing their facial expressions. In this project, subjects will be invited to take part in an experiment where their facial expressions will be captured while watching various types of movies. These movies aim to evoke different responses from the participants. Their facial expressions will be recorded by Kinect camera. Next, features will be extracted from the recorded videos and classified via machine learning algorithms. After learning the classifier, the author will identify different types of videos by distinguishing the facial expressions in them.
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format Final Year Project (FYP)
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spelling ntu-10356/646322023-07-07T16:56:13Z Identifying different facial expressions from Kinect Zhang, Liquan Justin Dauwels School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems This project aims to differentiate human emotions by analyzing their facial expressions. In this project, subjects will be invited to take part in an experiment where their facial expressions will be captured while watching various types of movies. These movies aim to evoke different responses from the participants. Their facial expressions will be recorded by Kinect camera. Next, features will be extracted from the recorded videos and classified via machine learning algorithms. After learning the classifier, the author will identify different types of videos by distinguishing the facial expressions in them. Bachelor of Engineering 2015-05-29T02:14:46Z 2015-05-29T02:14:46Z 2015 2015 Final Year Project (FYP) http://hdl.handle.net/10356/64632 en Nanyang Technological University 44 p. application/pdf
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Zhang, Liquan
Identifying different facial expressions from Kinect
title Identifying different facial expressions from Kinect
title_full Identifying different facial expressions from Kinect
title_fullStr Identifying different facial expressions from Kinect
title_full_unstemmed Identifying different facial expressions from Kinect
title_short Identifying different facial expressions from Kinect
title_sort identifying different facial expressions from kinect
topic DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
url http://hdl.handle.net/10356/64632
work_keys_str_mv AT zhangliquan identifyingdifferentfacialexpressionsfromkinect