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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| Format: | Article |
| Language: | English English |
| Published: |
Asian Research Publishing Network
2015
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| 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 |
| _version_ | 1825713587252887552 |
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| author | Lin Hou Chew Jason Teo James Mountstephens |
| author_facet | Lin Hou Chew Jason Teo James Mountstephens |
| author_sort | Lin Hou Chew |
| collection | UMS |
| 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. |
| first_indexed | 2024-03-06T02:58:53Z |
| format | Article |
| id | ums.eprints-21646 |
| institution | Universiti Malaysia Sabah |
| language | English English |
| last_indexed | 2024-03-06T02:58:53Z |
| publishDate | 2015 |
| publisher | Asian Research Publishing Network |
| record_format | dspace |
| spelling | 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 |
| spellingShingle | BH Aesthetics Lin Hou Chew Jason Teo James Mountstephens EEG-Based Aesthetics Preference Measurement with 3D Stimuli using Wavelet Transform |
| title | 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_short | EEG-Based Aesthetics Preference Measurement with 3D Stimuli using Wavelet Transform |
| title_sort | eeg based aesthetics preference measurement with 3d stimuli using wavelet transform |
| topic | BH Aesthetics |
| 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 |
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