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Two Positions for Personal Authentication Using The Delta Brain Wave Signal |
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| รหัสดีโอไอ | |
| Creator | ปรีชา ตั้งเกรียงกิจ |
| Title | Two Positions for Personal Authentication Using The Delta Brain Wave Signal |
| Publisher | Faculty of Information Science and Technology, Mahanakorn University of Technology |
| Publication Year | 2561 |
| Journal Title | Journal of Information Science and Technology |
| Journal Vol. | 8 |
| Journal No. | 1 |
| Page no. | 26-34 |
| Keyword | Electroencephalogram, Biometric, Identification, Independent component analysis, Neural network, Number of Neurons in Hidden Layer |
| URL Website | https://tci-thaijo.org/index.php/JIST |
| Website title | Journal of Information Science and Technology |
| ISSN | 2651-1053 |
| Abstract | This study discusses the authentication that uses delta brainwave signals. The purpose is to use only two positions of brainwaves to prove authentication. Based on the principle of supervised neural network, the number of features is reduced. Make learning more effective. The objective of this study was to investigate two-position of brainwave. The Delta brainwave signals of 40 subjects are explored. The practical technique, Independent Component Analysis (ICA) by SOBIRO algorithm is considered clean and separates the individual signals from noise. Delta brainwaves are extracted from brain signal for group recognition using the technique of supervised neural network for authenticating 40 subjects. The number of neurons in the hidden layer 5-26 neurals were test to find the optimal value of authentication for two positions brainwaves |
