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DOI: 10.14569/IJACSA.2017.080758
PDF

Eye Controlled Mobile Robot with Shared Control for Physically Impaired People

Author 1: Muhammad Wasim
Author 2: Javeria Khan
Author 3: Dawer Saeed
Author 4: Dr. Usman Ghani Khan

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 8 Issue 7, 2017.

  • Abstract and Keywords
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Abstract: Physically impaired and disabled people are an integral part of human society. Devices providing assistance to such individuals can help them contribute to the society in a more productive way. The situation is even worse for patients with locked-in syndrome who cannot move their body at all. These problems were the motivation to develop an eye controlled robot to facilitate such patients. Readily available commercial headset is used to record electroencephalogram (EEG) signals for classification and processing. Classification based control signals were then transmitted to robot for navigation. The robot mimics a brain controlled wheelchair with eye movements. The robot is based on shared control which is safe and robust. The analysis of robot navigation for patients showed promising results.

Keywords: Locked-in syndrome; EEG; shared contol; eye controlled robot

Muhammad Wasim, Javeria Khan, Dawer Saeed and Dr. Usman Ghani Khan, “Eye Controlled Mobile Robot with Shared Control for Physically Impaired People” International Journal of Advanced Computer Science and Applications(IJACSA), 8(7), 2017. http://dx.doi.org/10.14569/IJACSA.2017.080758

@article{Wasim2017,
title = {Eye Controlled Mobile Robot with Shared Control for Physically Impaired People},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.080758},
url = {http://dx.doi.org/10.14569/IJACSA.2017.080758},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {7},
author = {Muhammad Wasim and Javeria Khan and Dawer Saeed and Dr. Usman Ghani Khan}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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