Abstract
The Advancement of communication system has given us the freedom to think beyond traditional communication system and stage is set for thought oriented communication system. There are thousands of thoughts generated and vanished in a timeframe but out of these some prominent thoughts persist and we proceed with the same in our day to day activities. The advancement in Electroencephalogram has provided a chance to see the activity in the human brain in non-invasive manner. The proposed research work presents the method for Digit recognition using the EEG signals acquired and processed on smart devices. The results show the implementation of Computation neural network for the recognition of digits from EEG signals. It was seen that, the 90.64% correct classification was achieved.
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Acknowledgment
This piece of work is registered under Indian Patent application number 201621005217 Titled SYSTEM FOR THOUGHT BASED COMMUNICATION Year - 2016.
The Authors would like to thanks Dept. of Computer Science and IT, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad for providing necessary infrastructure.
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Bedre, S.P., Jha, S.K., Borde, P., Patil, C., Gawali, B., Yannawar, P. (2021). Keywords Recognition from EEG Signals on Smart Devices a Novel Approach. In: Santosh, K.C., Gawali, B. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2020. Communications in Computer and Information Science, vol 1381. Springer, Singapore. https://doi.org/10.1007/978-981-16-0493-5_8
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