Brain computer interface for operating a robot

Nisar, Humaira and Balasubramaniam, Hari Chand and Malik, Aamir Saeed (2013) Brain computer interface for operating a robot. In: 2013 International Symposium on Computational Models for Life Sciences, November 27–29, 2013, Sydney, Australia.

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A Brain-Computer Interface (BCI) is a hardware/software based system that translates the Electroencephalogram (EEG) signals produced by the brain activity to control computers and other external devices. In this paper, we will present a non-invasive BCI system that reads the EEG signals from a trained brain activity using a neuro-signal acquisition headset and translates it into computer readable form; to control the motion of a robot. The robot performs the actions that are instructed to it in real time. We have used the cognitive states like Push, Pull to control the motion of the robot. The sensitivity and specificity of the system is above 90 percent. Subjective results show a mixed trend of the difficulty level of the training activities. The quantitative EEG data analysis complements the subjective results. This technology may become very useful for the rehabilitation of disabled and elderly people.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Brain computer interface, EEG, robot
Subjects: Q Science > Q Science (General)
R Medicine > R Medicine (General)
T Technology > T Technology (General)
Departments / MOR / COE: Centre of Excellence > Center for Intelligent Signal and Imaging Research
Research Institutes > Institute for Health Analytics
Depositing User: Dr Aamir Saeed Malik
Date Deposited: 16 Dec 2013 23:47
Last Modified: 16 Dec 2013 23:47

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