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EEG-Based Aesthetics Preference Measurement with 3D Stimuli using Wavelet Transform

This study investigates on aesthetics preference measurement of human using electroencephalogram (EEG) for virtual motion 3D shapes. The 3D shapes are generated using the Gielis superformula in bracelet-like shapes. EEG signals were collected by using a wireless medical grade EE...

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Main Authors: Lin Hou Chew, Jason Teo, James Mountstephens
Format: Article
Language:English
English
Published: Asian Research Publishing Network 2015
Subjects:
BH Aesthetics
Online Access:https://eprints.ums.edu.my/id/eprint/21646/1/EEG-Based%20Aesthetics%20Preference%20Measurement%20with%203D%20Stimuli%20using%20Wavelet%20Transform.pdf
https://eprints.ums.edu.my/id/eprint/21646/7/EEG-Based%20Aesthetics%20Preference%20Measurement%20with%203D%20Stimuli%20using%20Wavelet%20Transform.pdf
https://eprints.ums.edu.my/id/eprint/21646/
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spelling my.ums.eprints.216462020-12-09T02:45:00Z https://eprints.ums.edu.my/id/eprint/21646/ EEG-Based Aesthetics Preference Measurement with 3D Stimuli using Wavelet Transform Lin Hou Chew Jason Teo James Mountstephens BH Aesthetics This study investigates on aesthetics preference measurement of human using electroencephalogram (EEG) for virtual motion 3D shapes. The 3D shapes are generated using the Gielis superformula in bracelet-like shapes. EEG signals were collected by using a wireless medical grade EEG device, B-Alert X10 from Advance Brain Monitoring. Wavelet transforms were used to decompose the signals into 5 different bands, alpha, beta, gamma, delta and theta. Linear Discriminant analysis (LDA) and K-Nearest Neighbor (KNN) were used as classifiers to train and test different combinations of the features. Classification accuracy of up to 82.14% could be obtained using KNN with entropy of beta, gamma, delta and theta rhythms as features from channels Fz, POz and P4. Asian Research Publishing Network 2015 Article PeerReviewed text en https://eprints.ums.edu.my/id/eprint/21646/1/EEG-Based%20Aesthetics%20Preference%20Measurement%20with%203D%20Stimuli%20using%20Wavelet%20Transform.pdf text en https://eprints.ums.edu.my/id/eprint/21646/7/EEG-Based%20Aesthetics%20Preference%20Measurement%20with%203D%20Stimuli%20using%20Wavelet%20Transform.pdf Lin Hou Chew and Jason Teo and James Mountstephens (2015) EEG-Based Aesthetics Preference Measurement with 3D Stimuli using Wavelet Transform. ARPN Journal of Engineering and Applied Sciences, 10 (22). ISSN 1819-6608
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
English
topic BH Aesthetics
spellingShingle BH Aesthetics
Lin Hou Chew
Jason Teo
James Mountstephens
EEG-Based Aesthetics Preference Measurement with 3D Stimuli using Wavelet Transform
description This study investigates on aesthetics preference measurement of human using electroencephalogram (EEG) for virtual motion 3D shapes. The 3D shapes are generated using the Gielis superformula in bracelet-like shapes. EEG signals were collected by using a wireless medical grade EEG device, B-Alert X10 from Advance Brain Monitoring. Wavelet transforms were used to decompose the signals into 5 different bands, alpha, beta, gamma, delta and theta. Linear Discriminant analysis (LDA) and K-Nearest Neighbor (KNN) were used as classifiers to train and test different combinations of the features. Classification accuracy of up to 82.14% could be obtained using KNN with entropy of beta, gamma, delta and theta rhythms as features from channels Fz, POz and P4.
format Article
author Lin Hou Chew
Jason Teo
James Mountstephens
author_facet Lin Hou Chew
Jason Teo
James Mountstephens
author_sort Lin Hou Chew
title EEG-Based Aesthetics Preference Measurement with 3D Stimuli using Wavelet Transform
title_short EEG-Based Aesthetics Preference Measurement with 3D Stimuli using Wavelet Transform
title_full EEG-Based Aesthetics Preference Measurement with 3D Stimuli using Wavelet Transform
title_fullStr EEG-Based Aesthetics Preference Measurement with 3D Stimuli using Wavelet Transform
title_full_unstemmed EEG-Based Aesthetics Preference Measurement with 3D Stimuli using Wavelet Transform
title_sort eeg-based aesthetics preference measurement with 3d stimuli using wavelet transform
publisher Asian Research Publishing Network
publishDate 2015
url https://eprints.ums.edu.my/id/eprint/21646/1/EEG-Based%20Aesthetics%20Preference%20Measurement%20with%203D%20Stimuli%20using%20Wavelet%20Transform.pdf
https://eprints.ums.edu.my/id/eprint/21646/7/EEG-Based%20Aesthetics%20Preference%20Measurement%20with%203D%20Stimuli%20using%20Wavelet%20Transform.pdf
https://eprints.ums.edu.my/id/eprint/21646/
_version_ 1760229869998833664
score 13.211869

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