Abstract
The goal of Human-Computer Interface (or called Human-Robot interface) research is to provide humans with a new communication channel that allows translating people’s intention states via a computer into performing specific actions. This paper presents a novel hands-free control system for controlling the electric wheelchair, which is based on Bio-signals as surface electromyogram signals. The Bioelectric signals are picked up from facial muscles then the Bio-signals are passed through an amplifier and a high pass filter. Motion control commands (Forward, Left, Right, Forward to the Right, Forward to the left and Stop) are classified by simple rule. These commands are used for controlling the electric wheelchair.
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Tamura, H., Manabe, T., Goto, T., Yamashita, Y., Tanno, K. (2010). A Study of the Electric Wheelchair Hands-Free Safety Control System Using the Surface-Electromygram of Facial Muscles. In: Liu, H., Ding, H., Xiong, Z., Zhu, X. (eds) Intelligent Robotics and Applications. ICIRA 2010. Lecture Notes in Computer Science(), vol 6425. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16587-0_10
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DOI: https://doi.org/10.1007/978-3-642-16587-0_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16586-3
Online ISBN: 978-3-642-16587-0
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