Planning of new experimental protocol for identifying human emotions & analysis of new kinect data

Humans use our emotions every day – be it a positive or negative expression, they represent our feelings at that point in time. Researchers have been analysing humans and their facial expressions for years, motivated to know how else they can better make use of these emotions to predict people’s res...

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Main Author: Lim, Jia-Min
Other Authors: Justin Dauwels
Format: Final Year Project
Language:English
Published: 2016
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Online Access:http://hdl.handle.net/10356/67743
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-677432023-07-07T16:47:33Z Planning of new experimental protocol for identifying human emotions & analysis of new kinect data Lim, Jia-Min Justin Dauwels School of Electrical and Electronic Engineering DRNTU::Engineering Humans use our emotions every day – be it a positive or negative expression, they represent our feelings at that point in time. Researchers have been analysing humans and their facial expressions for years, motivated to know how else they can better make use of these emotions to predict people’s response for useful applications. In this project, we look at how we can utilise the Kinect platform to better understand humans by detecting their facial expressions and associate it with emotions. This report summarizes the protocol to conducting an experiment which uses a motion controller developing device, Kinect for Windows version 1, to analyse the images by different methods of classification. System will be trained to recognise facial movement and identify the emotions associated based on the difference in these facial movements. This project is a collaborated between 2 Final Year Project (FYP) students and 2 Masters students. The author will primarily focus on setting up the protocol for conducting new experiments followed by analysing the new data with Kinect 1. The other students will use other devices such as Kinect 2 and the eye tracker. After conducting new experiments with new subjects, images of the data are put through different classifiers to train the system to recognise and identify facial expressions to emotions. The purpose of this project is to help applications use this system to better gauge people’s response for different applications and make a more informed follow-up decision. Bachelor of Engineering 2016-05-19T08:58:11Z 2016-05-19T08:58:11Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/67743 en Nanyang Technological University 89 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
spellingShingle DRNTU::Engineering
Lim, Jia-Min
Planning of new experimental protocol for identifying human emotions & analysis of new kinect data
description Humans use our emotions every day – be it a positive or negative expression, they represent our feelings at that point in time. Researchers have been analysing humans and their facial expressions for years, motivated to know how else they can better make use of these emotions to predict people’s response for useful applications. In this project, we look at how we can utilise the Kinect platform to better understand humans by detecting their facial expressions and associate it with emotions. This report summarizes the protocol to conducting an experiment which uses a motion controller developing device, Kinect for Windows version 1, to analyse the images by different methods of classification. System will be trained to recognise facial movement and identify the emotions associated based on the difference in these facial movements. This project is a collaborated between 2 Final Year Project (FYP) students and 2 Masters students. The author will primarily focus on setting up the protocol for conducting new experiments followed by analysing the new data with Kinect 1. The other students will use other devices such as Kinect 2 and the eye tracker. After conducting new experiments with new subjects, images of the data are put through different classifiers to train the system to recognise and identify facial expressions to emotions. The purpose of this project is to help applications use this system to better gauge people’s response for different applications and make a more informed follow-up decision.
author2 Justin Dauwels
author_facet Justin Dauwels
Lim, Jia-Min
format Final Year Project
author Lim, Jia-Min
author_sort Lim, Jia-Min
title Planning of new experimental protocol for identifying human emotions & analysis of new kinect data
title_short Planning of new experimental protocol for identifying human emotions & analysis of new kinect data
title_full Planning of new experimental protocol for identifying human emotions & analysis of new kinect data
title_fullStr Planning of new experimental protocol for identifying human emotions & analysis of new kinect data
title_full_unstemmed Planning of new experimental protocol for identifying human emotions & analysis of new kinect data
title_sort planning of new experimental protocol for identifying human emotions & analysis of new kinect data
publishDate 2016
url http://hdl.handle.net/10356/67743
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