Abstract
Brain Machine Interface (BMI) till now is generally preferred only for repairing damaged hearing, sight and movements with the help of neuroprosthetics application. These applications consist of some external unit which gathers some information in the form of signals from the brain and processes it so as to transfer them to the implanted unit. In this way these applications had helped the people to bring back their ability from various neuromuscular disabilities. Similarly, the BMI can be very useful for automation system. It will help in reducing accidents which had contributed to high mortality rate. A brain actuated automation system will also help motor disabled person to move independently. Signals from brain will be acquired with the help of dry electrodes and those signals will be processed in the system processor. The signal after processing will be then applied to the system depending on the instructions given by the person sitting on it.
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Kewate, P., Suryawanshi, P. (2015). Brain Machine Interface Automation System: Simulation Approach. In: Gupta, S., Bag, S., Ganguly, K., Sarkar, I., Biswas, P. (eds) Advancements of Medical Electronics. Lecture Notes in Bioengineering. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2256-9_21
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DOI: https://doi.org/10.1007/978-81-322-2256-9_21
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