Real-time target selection based on electroencephalogram (EEG) signal
Electroencephalogram (EEG)-based mobile system are getting mainstream although the true potential of EEG signals are yet to be discovered. With the help of a specific control paradigm, the success rate of a mobile system to reach to a certain location could be increased. To further extend the existe...
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| Format: | Article |
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Asian Research Publishing Network (ARPN)
2015
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| _version_ | 1796860103289208832 |
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| author | Adha, Muhammad Shaufil Safri, Norlaili Mat Othman, Mohd. Afzan |
| author_facet | Adha, Muhammad Shaufil Safri, Norlaili Mat Othman, Mohd. Afzan |
| author_sort | Adha, Muhammad Shaufil |
| collection | ePrints |
| description | Electroencephalogram (EEG)-based mobile system are getting mainstream although the true potential of EEG signals are yet to be discovered. With the help of a specific control paradigm, the success rate of a mobile system to reach to a certain location could be increased. To further extend the existed control paradigm of EEG-Based mobile robotic system, this paper demonstrated the real time target selection of a wireless mobile robot using only human mind. A unique protocol was developed to mimic a scanning process while at the same time allowing subject to make a selection. Our system utilized only single EEG channel with no subject training. We statistically verify that it is feasible to select a target by manipulating only alpha content of EEG. We also show that it is hard to achieve a stable high performance of synchronous EEG-Based BCI application in one trial with a single frequency band. However, we found that the BCI's performance in term of sensitivity is getting more stable with increase in trial. |
| first_indexed | 2024-03-05T19:36:57Z |
| format | Article |
| id | utm.eprints-55197 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T19:36:57Z |
| publishDate | 2015 |
| publisher | Asian Research Publishing Network (ARPN) |
| record_format | dspace |
| spelling | utm.eprints-551972016-09-04T00:58:33Z http://eprints.utm.my/55197/ Real-time target selection based on electroencephalogram (EEG) signal Adha, Muhammad Shaufil Safri, Norlaili Mat Othman, Mohd. Afzan TK Electrical engineering. Electronics Nuclear engineering Electroencephalogram (EEG)-based mobile system are getting mainstream although the true potential of EEG signals are yet to be discovered. With the help of a specific control paradigm, the success rate of a mobile system to reach to a certain location could be increased. To further extend the existed control paradigm of EEG-Based mobile robotic system, this paper demonstrated the real time target selection of a wireless mobile robot using only human mind. A unique protocol was developed to mimic a scanning process while at the same time allowing subject to make a selection. Our system utilized only single EEG channel with no subject training. We statistically verify that it is feasible to select a target by manipulating only alpha content of EEG. We also show that it is hard to achieve a stable high performance of synchronous EEG-Based BCI application in one trial with a single frequency band. However, we found that the BCI's performance in term of sensitivity is getting more stable with increase in trial. Asian Research Publishing Network (ARPN) 2015 Article PeerReviewed Adha, Muhammad Shaufil and Safri, Norlaili Mat and Othman, Mohd. Afzan (2015) Real-time target selection based on electroencephalogram (EEG) signal. ARPN Journal of Engineering and Applied Sciences, 10 (19). pp. 8757-8761. ISSN 1819-6608 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Adha, Muhammad Shaufil Safri, Norlaili Mat Othman, Mohd. Afzan Real-time target selection based on electroencephalogram (EEG) signal |
| title | Real-time target selection based on electroencephalogram (EEG) signal |
| title_full | Real-time target selection based on electroencephalogram (EEG) signal |
| title_fullStr | Real-time target selection based on electroencephalogram (EEG) signal |
| title_full_unstemmed | Real-time target selection based on electroencephalogram (EEG) signal |
| title_short | Real-time target selection based on electroencephalogram (EEG) signal |
| title_sort | real time target selection based on electroencephalogram eeg signal |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| work_keys_str_mv | AT adhamuhammadshaufil realtimetargetselectionbasedonelectroencephalogrameegsignal AT safrinorlailimat realtimetargetselectionbasedonelectroencephalogrameegsignal AT othmanmohdafzan realtimetargetselectionbasedonelectroencephalogrameegsignal |