Artificial Neural Networks for Brain Controlled Artificial Legs and Brain Computer Interface (BCI)

Authors

  • N. Siranjeevi Asst. Professor, Department of Computer Science, AVS College of Arts & Science, Attur Main Road, Ramalingapuram, Salem-636106.
  • C. A. Kannadhasan

DOI:

https://doi.org/10.37591/joarb.v4i2.1046

Abstract

Abstract

The whole system is guarded with the support of highly developed microcontrollers and digital signal processors. The signals square measure taken out from the human brain with the assistance of electroencephalography technique. The person will perform operations like walking, running etc. simply by their thought. These methods are going to be significantly appropriate for people who lose their legs in accidents and the planned system is hundred percentages possible within the real-time atmosphere with the presently on the market technology. The brain controlled artificial legs square measure significantly price effective when put next to the unremarkably used artificial legs that square measure on the market within the market. The reduction in price of the planned system is found to be higher than eightieth when put next to the present system. Moreover, the user will have full management over the bogus legs that are not potential within the existing system.

 

Keywords: Brain computer interface, brain waves

Cite this Article

Siranjeevi N, Kannadhasan C.A. Artificial Neural Networks for Brain Controlled Artificial Legs and Brain Computer Interface (BCI). Journal of Advancements in Robotics. 2017; 4(2): 1–4p.

Author Biography

  • N. Siranjeevi, Asst. Professor, Department of Computer Science, AVS College of Arts & Science, Attur Main Road, Ramalingapuram, Salem-636106.
    Asst. Professor, AVS College of Arts & Science, Periyar University, Salem, Tamilnadu.

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Published

2017-07-31

Issue

Vol. 4 No. 2 (2017)

Section

Research Articles

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