Elqady, A., Nasser, A., Sharkas, M. (2012). MARKOV-BASED BRAIN COMPUTER INTERFACE. JES. Journal of Engineering Sciences, 40(No 2), 557-566. doi: 10.21608/jesaun.2012.113129
A. F. Elqady; A. A. A. Nasser; M. A. Sharkas. "MARKOV-BASED BRAIN COMPUTER INTERFACE". JES. Journal of Engineering Sciences, 40, No 2, 2012, 557-566. doi: 10.21608/jesaun.2012.113129
Elqady, A., Nasser, A., Sharkas, M. (2012). 'MARKOV-BASED BRAIN COMPUTER INTERFACE', JES. Journal of Engineering Sciences, 40(No 2), pp. 557-566. doi: 10.21608/jesaun.2012.113129
Elqady, A., Nasser, A., Sharkas, M. MARKOV-BASED BRAIN COMPUTER INTERFACE. JES. Journal of Engineering Sciences, 2012; 40(No 2): 557-566. doi: 10.21608/jesaun.2012.113129
1Faculty of Engineering, Arab Academy for Science and Technology, Alexandria, Egypt
2Arab Academy for Science, Technology and Maritime Transports, Alexandria, Egypt
Abstract
Although the brain recognizable wave patterns are of limited vocabulary representing finite number of states, the dynamics and moral conditions made it unlimited and subject to severe variations. To enhance the response to certain order, these variations should be augmented in such a way that the brain responds to the nearest meaningful order. In this paper the retention of mental state to the nearest meaningful order is simulated by the retention of nearby periodic orbits out of a chaotic flow. A distributed chaotic generator is used to imitate an intermittent behavior with the laminar phase representing the definite mental tasks and the bursts representing the noisy or undefined tasks. In the intermittent section of the response the nearest periodic response is period three. An algorithm based upon the hidden Markov chain has been developed to retain periodic responses out of the chaotic flow.