A Wearable Brain-Computer Interface Instrument with Aug- Mented Reality-Based Interface for General Applications 
Judy Flavia1, Aviraj Patel2, Diwakar Kumar Jha3, Navnit Kumar Jha4
1Ms. Judy Flavia, SRM Institute of Science & Technology, Ramapuram, Chennai,Tamil Nadu, India.
2Aviraj Patel, SRM Institute of Science & Technology, Ramapuram, Chennai, Tamil Nadu, India.
3Diwakar Kumar Jha, SRM Institute of Science & Technology, Ramapuram, Chennai, Tamil Nadu, India.
4Navnit Kumar Jha, SRM Institute of Science & Technology, Ramapuram, Chennai, Tamil Nadu, India.
Manuscript received on 28 May 2021 | Revised Manuscript received on 03 June 2021 | Manuscript Accepted on 15 June 2021 | Manuscript published on 30 June 2021 | PP: 23-28 | Volume-1 Issue-3, June 2021 | Retrieval Number: 100.1/ijainn.C1032061321 | DOI: 10.54105/ijainn.C1032.061321
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Abstract: In the project we are demonstrating the combined usage Augmented Reality(AR) and brain faced com- puter interface(BI) which can be used to control the robotic acurator by. This method is more simple and more user friendly. Here brainwave senor will work in its normal setting detecting alpha, beta, and gam- ma signals. These signals are decoded to detect eye movements. These are very limited on its own since the number of combinations possible to make higher and more complex task possible. Asa solution to this AR is integrated with the BCI application to make control interface more user friendly. This application can be used in many cases including many robotic and device controlling cases. Here we use BCI-AR to detect eye paralysis that can be archive by detecting eye lid movement of person by wearing head bend.
Keywords: These Signals Are Decoded To Detect Eye Movements.
Scope of the Article: Neural Networks