Scalable NOC Architecture for BMI Applications using Field Programmable Gate Array
P. Arun Prasath1, M V Pavan Kumar2, R. Sarathy3, Pinjala Sai Kiran4, G. Priya5
1P. Arun Prasath, Students, Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Chennai (TamilNadu), India.
2M V Pavan Kumar, Students, Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Chennai (TamilNadu), India.
3R. Sarathy, Students, Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Chennai (TamilNadu), India.
4Pinjala Sai Kiran, Students, Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Chennai (TamilNadu), India.
5G. Priya, Guide, Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Chennai (TamilNadu), India.
Manuscript received on 03 May 2019 | Revised Manuscript received on 15 May 2019 | Manuscript Published on 10 July 2019 | PP: 18-12 | Volume-8 Issue-7C2 May 2019 | Retrieval Number: G10050587C219/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The communication that links the brain and the computer is provided with the help of a Brain-Machine interface. In our project, deep learning algorithm is developed in VLSI architecture. The benefits of the deep learning algorithm enable the network on chip design with accurate data detection and processing. This helps us to understand the machine learning process. So that signals from the brain can control the machines. The output from post-process is translated to specific commands which will control the devices. To make this better we are using FPGA based system control which will reduce the time taken for the process.
Keywords: The Output From Post-Process is Translated to Specific Commands Which Will Control the Devices.
Scope of the Article: Communication