Pathak, D, Yang, H and Chen, T-K (2016) 'Neurofeedback and creativity in interceptive human movement: a theoretical model for neurocybernetics based kinaesthetic multimodal learning agent.' In: Bilof, R, ed. Proceedings: IEEE International Conference on Software Quality, Reliability and Security Companion. IEEE Computer Society, Los Alamitos, pp. 318-325. ISBN 9781509037131

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Many sporting expertise demands a coordinated execution of movements to overcome the challenges. Challenges could be environmental or situational. The athlete's ability to respond is a function of both physical and mental states. Athletes with comparable physical conditionings succeed or fail depending on mental ability to respond. Sporting tasks such as baseball hitting, cricket batting etc. demands short intense concentration over a prolonged period of time. Performance involving these type of interceptive movement requires fast visual and motor processing. Brain imaging studies in athletes have demonstrated that the visual stimulation produces a coactivation of motor areas. We discuss a theoretical model of neurofeedback to track and enhance mental learning. This requires analysis of brain state data in real time. We present a comparative study of related methods with mathematical backgrounds. We also validate the algorithms on experimental example dataset. We conclude with the potential limitations on real-time application and a roadmap for improvement. We also present the experimental design protocol for planned data collection.

Item Type: Book Chapter or Section
Keywords: Electroencephalography, Brain modeling, Neurofeedback, Visualization, Data analysis, Sensor arrays
Divisions: College of Liberal Arts
Date Deposited: 05 Mar 2017 19:57
Last Modified: 16 May 2018 09:46
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