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    Cognitive efficiency in robot control by Emotiv EPOC

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    Date
    2014-05
    Publisher
    © 2014 IEEE Computer Society
    Author
    Chowdhury, Pritom
    Shakim, S. S. Kibria
    Karim, Md. Risul
    Rhaman, Md. Khalilur
    Metadata
    Show full item record
    URI
    http://hdl.handle.net/10361/7393
    Citation
    Chowdhury, P., Kibria Shakim, S. S., Karim, M. R., & Rhaman, M. K. (2014). Cognitive efficiency in robot control by emotiv EPOC. Paper presented at the 2014 International Conference on Informatics, Electronics and Vision, ICIEV 2014, doi:10.1109/ICIEV.2014.6850775
    Abstract
    Brain Computer Interface (BCI) has opened a new era in the field of neuroscience. It has the potentiality to improve the quality of life of severely disabled patients. It allows them to regain the power of moving things by their affective, cognitive and expressive brain activities. Emotiv EPOC head set is a safe and comfortable BCI system which contains a number of advanced electrode sensors. It can detect and process the user's thoughts, feelings and expressions in real time. A prototype of two wheeler robot is implemented and experimented which was controlled by the thought of human being. In average 72.65% accuracy is observed in the experiment for different aged people from 14 to 30 years old where the accuracy for the physically challenged people is 82% in average. Firstly the prototype software has to be trained by a specific user then it controls a wireless robot by the person's thought for driving the robot in forward, backward, left and right directions. This robot can be stopped by a specific facial expression which does not need any training. The article also investigated the shortcomings and reviews on the reliability of the cognitive output efficiency of Emotiv EPOC EEG device, based on user comments and related researches.
    Keywords
    BCI; EEG; EMG; EOG; Sequential sampling; Efficiency
     
    Description
    This conference paper was presented in the International Conference on Informatics, Electronics and Vision, ICIEV 2014; Dhaka; Bangladesh; 23 May 2014 through 24 May 2014 [ © 2014 IEEE] The conference paper's definite version is available at: http://dx.doi.org/10.1109/ICIEV.2014.6850775
    Publisher Link
    http://ieeexplore.ieee.org/document/6850775/
    DOI
    http://dx.doi.org/10.1109/ICIEV.2014.6850775
    Department
    Department of Computer Science and Engineering, BRAC University
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