Design of EEG based wheel chair by using color stimuli and rhythm analysis
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Description
A novel methodology of brain controlled intelligent wheelchair by using color stimuli is proposed here. A general methodology is applied to find out most effective rhythm for color classification. Primary colors RGB and secondary color yellow were chosen for left, right, forward and stop command. Alpha, Beta, Theta, Delta rhythms were analyzed for three different subjects. Using dissimilar features of time and frequency domain twelve artificial neural network were built to decide the best rhythm. Principal component analysis was made for each EEG signal to remove the background effect of color stimuli. Comparing the findings it is visualized that beta rhythm is the most efficient rhythm with minimum mean square error of 4.845×10-9 among all designed ANN for color classification.
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| ID Code: | 197530 | ||
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| Item Type: | Chapter in Book, Report or Conference volume (Conference contribution) | ||
| Series Name: | 1st International Conference on Advances in Science, Engineering and Robotics Technology 2019, ICASERT 2019 | ||
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| Measurements or Duration: | 4 pages | ||
| Keywords: | Artificial Neural Network (ANN), Color stimuli, Electroencephalogram (EEG), Principal component analysis (PCA), Rhythm | ||
| DOI: | 10.1109/ICASERT.2019.8934493 | ||
| ISBN: | 978-1-7281-3446-8 | ||
| Pure ID: | 54865686 | ||
| Divisions: | Past > QUT Faculties & Divisions > Faculty of Health Current > Research Centres > CARRS-Q Centre for Future Mobility |
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| Funding Information: | This work was assisted by Higher Education Quality Enhancement Project (HEQEP), University Grant Commission, Bangladesh under Subproject “Postgraduate Research in BME”, CP#3472, Khulna University of Engineering & Technology, Bangladesh. | ||
| Copyright Owner: | IEEE | ||
| Copyright Statement: | © 20XX IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | ||
| Deposited On: | 12 Mar 2020 04:59 | ||
| Last Modified: | 19 Apr 2024 17:11 |
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