Abstract
Now a days, ‘Brain Computer Interface’ is one of the fastest growing technologies in which researchers are trying to communicate between human brain and external devices effectively. Generally, brain signal can be captured by EEG technique and the scalp voltage is measured in timely manner. The signal is then transferred to the external devices for modification and finally, the scalp voltage level is transferred into cursor movement (in multithreaded way). Then it will try to reach the desired target inside the computer. In this paper, we propose an efficient technique to reach the cursor to the desired target with single brain signal. This paper also shows that the time and space complexity of this approach is quite less compared to the other existing approaches. If the cursor can reach to the desired target quickly then human can respond very quickly and the application would be more helpful for disabled or paralysed people. For sake of simplicity, the proposed method is also carried out on 5 different amplitude levels of the same signal over different time periods (within 1 ns) in this paper.
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Das Chakladar, D., Chakraborty, S. (2017). Study and Analysis of a Fast Moving Cursor Control in a Multithreaded Way in Brain Computer Interface. In: Mandal, J., Dutta, P., Mukhopadhyay, S. (eds) Computational Intelligence, Communications, and Business Analytics. CICBA 2017. Communications in Computer and Information Science, vol 776. Springer, Singapore. https://doi.org/10.1007/978-981-10-6430-2_4
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DOI: https://doi.org/10.1007/978-981-10-6430-2_4
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