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...
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Final Year Project |
Language: | English |
Published: |
2018
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/75349 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-75349 |
---|---|
record_format |
dspace |
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 |
_version_ |
1772828978329944064 |