Emotion recognition using soft computing techniques
This Project is a study of emotion recognition of human that can be used in the healthcare sector. In this project, I developed an understanding on Viola Jones algorithm, Principal component Analysis (PCA), Neural Network and Back-Propagation algorithm. For face detection Viola Jones was used and it...
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Format: | Final Year Project (FYP) |
Language: | English |
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2017
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Online Access: | http://hdl.handle.net/10356/71617 |
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author | Koh, Yoke Teng |
author2 | Chan Chok You, John |
author_facet | Chan Chok You, John Koh, Yoke Teng |
author_sort | Koh, Yoke Teng |
collection | NTU |
description | This Project is a study of emotion recognition of human that can be used in the healthcare sector. In this project, I developed an understanding on Viola Jones algorithm, Principal component Analysis (PCA), Neural Network and Back-Propagation algorithm. For face detection Viola Jones was used and it includes the used of AdaBoost to extract the useful features and dispose the redundant features. PCA is mainly used to compress the image and reduce large data space. Database is also need to store the image taken and make comparison another image to detect what emotion is identified. |
first_indexed | 2024-10-01T04:08:18Z |
format | Final Year Project (FYP) |
id | ntu-10356/71617 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2024-10-01T04:08:18Z |
publishDate | 2017 |
record_format | dspace |
spelling | ntu-10356/716172023-07-07T16:48:38Z Emotion recognition using soft computing techniques Koh, Yoke Teng Chan Chok You, John Shen Zhongxiang School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering This Project is a study of emotion recognition of human that can be used in the healthcare sector. In this project, I developed an understanding on Viola Jones algorithm, Principal component Analysis (PCA), Neural Network and Back-Propagation algorithm. For face detection Viola Jones was used and it includes the used of AdaBoost to extract the useful features and dispose the redundant features. PCA is mainly used to compress the image and reduce large data space. Database is also need to store the image taken and make comparison another image to detect what emotion is identified. Bachelor of Engineering 2017-05-17T10:28:52Z 2017-05-17T10:28:52Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/71617 en Nanyang Technological University 45 p. application/pdf |
spellingShingle | DRNTU::Engineering::Electrical and electronic engineering Koh, Yoke Teng Emotion recognition using soft computing techniques |
title | 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_short | Emotion recognition using soft computing techniques |
title_sort | emotion recognition using soft computing techniques |
topic | DRNTU::Engineering::Electrical and electronic engineering |
url | http://hdl.handle.net/10356/71617 |
work_keys_str_mv | AT kohyoketeng emotionrecognitionusingsoftcomputingtechniques |