Abstract
In this paper, a human brain-based control method of electric wheelchair is presented for individuals with motor disabilities. In this method, intended eye-blink electrooculogram (EOG) signal measured by a single dry electrode is utilized as communication channel for random direction control of wheelchair. Here, a close-loop wheelchair control system with human-machine interface (HMI) based on this method is introduced, and the feedback is realized by human vision. To validate feasibility of this brain-controlled electric wheelchair system with eye-blink EOG signal, user is required to operate wheelchair with the proposed control system to move along three kinds of designated routes. The results show good performance of this brain-controlled wheelchair system with eye-blink EOG signal. Application of the proposed hand-free control system is expected to help people with motor disabilities live an improved lifestyle with more autonomy.
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Ning, B., Li, Mj., Liu, T., Shen, Hm., Hu, L., Fu, X. (2012). Human Brain Control of Electric Wheelchair with Eye-Blink Electrooculogram Signal. In: Su, CY., Rakheja, S., Liu, H. (eds) Intelligent Robotics and Applications. ICIRA 2012. Lecture Notes in Computer Science(), vol 7506. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33509-9_58
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DOI: https://doi.org/10.1007/978-3-642-33509-9_58
Publisher Name: Springer, Berlin, Heidelberg
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