Brain Computer Interface for Micro-controller Driven Robot Based on Emotiv Sensors

Authors

DOI:

https://doi.org/10.9781/ijimai.2017.457

Keywords:

Robotics, Sensor, Medicine, Brain Computer Interface, Emotiv
Supporting Agencies
This work would not have been possible without the support of Centre for Development of Advanced Computing, Noida for their help in the usage of Emotiv headset.

Abstract

A Brain Computer Interface (BCI) is developed to navigate a micro-controller based robot using Emotiv sensors. The BCI system has a pipeline of 5 stages- signal acquisition, pre-processing, feature extraction, classification and CUDA inter- facing. It shall aid in serving a prototype for physical movement of neurological patients who are unable to control or operate on their muscular movements. All stages of the pipeline are designed to process bodily actions like eye blinks to command navigation of the robot. This prototype works on features learning and classification centric techniques using support vector machine. The suggested pipeline, ensures successful navigation of a robot in four directions in real time with accuracy of 93 percent.

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Published

2017-09-01
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How to Cite

Gargava, P. and Asawa, K. (2017). Brain Computer Interface for Micro-controller Driven Robot Based on Emotiv Sensors. International Journal of Interactive Multimedia and Artificial Intelligence, 4(5), 39–43. https://doi.org/10.9781/ijimai.2017.457