Efficient learning enabled by technologies

The project is carried out by understanding how facial recognition is used for detection of certain facial features. This can be done by utilizing the Facial Action Coding System (FACS) which is a coding manual that describes the fine-grained movements of human faces as facial action units (AUs). Ap...

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Main Author: Sufia Zulkifli
Other Authors: Tan Yap Peng
Format: Final Year Project
Language:English
Published: 2018
Subjects:
Online Access:http://hdl.handle.net/10356/75349
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-75349
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spelling sg-ntu-dr.10356-753492023-07-07T16:44:05Z Efficient learning enabled by technologies Sufia Zulkifli Tan Yap Peng School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering The project is carried out by understanding how facial recognition is used for detection of certain facial features. This can be done by utilizing the Facial Action Coding System (FACS) which is a coding manual that describes the fine-grained movements of human faces as facial action units (AUs). Apart from facial recognition, the study of the different gestures and postures during learning are tell-tale signs of how a subject responds to learning Bachelor of Engineering 2018-05-30T15:31:13Z 2018-05-30T15:31:13Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/75349 en Nanyang Technological University 52 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
Sufia Zulkifli
Efficient learning enabled by technologies
description The project is carried out by understanding how facial recognition is used for detection of certain facial features. This can be done by utilizing the Facial Action Coding System (FACS) which is a coding manual that describes the fine-grained movements of human faces as facial action units (AUs). Apart from facial recognition, the study of the different gestures and postures during learning are tell-tale signs of how a subject responds to learning
author2 Tan Yap Peng
author_facet Tan Yap Peng
Sufia Zulkifli
format Final Year Project
author Sufia Zulkifli
author_sort Sufia Zulkifli
title Efficient learning enabled by technologies
title_short Efficient learning enabled by technologies
title_full Efficient learning enabled by technologies
title_fullStr Efficient learning enabled by technologies
title_full_unstemmed Efficient learning enabled by technologies
title_sort efficient learning enabled by technologies
publishDate 2018
url http://hdl.handle.net/10356/75349
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