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Development of a Surface EMG-Based Control System for Controlling Assistive Devices: A Study on Robotic Vehicle

Development of a Surface EMG-Based Control System for Controlling Assistive Devices: A Study on Robotic Vehicle

Uvanesh K., Suraj Kumar Nayak, Biswajeet Champaty, Goutam Thakur, Biswajit Mohapatra, D. N. Tibarewala, Kunal Pal
Copyright: © 2020 |Pages: 21
ISBN13: 9781799817543|ISBN10: 1799817547|EISBN13: 9781799817550
DOI: 10.4018/978-1-7998-1754-3.ch040
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MLA

K., Uvanesh, et al. "Development of a Surface EMG-Based Control System for Controlling Assistive Devices: A Study on Robotic Vehicle." Robotic Systems: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2020, pp. 765-785. https://doi.org/10.4018/978-1-7998-1754-3.ch040

APA

K., U., Nayak, S. K., Champaty, B., Thakur, G., Mohapatra, B., Tibarewala, D. N., & Pal, K. (2020). Development of a Surface EMG-Based Control System for Controlling Assistive Devices: A Study on Robotic Vehicle. In I. Management Association (Ed.), Robotic Systems: Concepts, Methodologies, Tools, and Applications (pp. 765-785). IGI Global. https://doi.org/10.4018/978-1-7998-1754-3.ch040

Chicago

K., Uvanesh, et al. "Development of a Surface EMG-Based Control System for Controlling Assistive Devices: A Study on Robotic Vehicle." In Robotic Systems: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 765-785. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-1754-3.ch040

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Abstract

The current study discusses about the development of an EMG based wireless control system for the patients suffering from high-level motor disability. Surface EMG (sEMG) signals were processed in the time domain and using discrete wavelet transforms (DWT). The statistical features of the signals (sEMG, envelope of the squared sEMG and wavelet processed sEMG) were determined and analyzed. The analysis of the features suggested that the features of the envelope of the squared sEMG signals were sufficient to be used for high-efficiency classification and control signal generation. A hall-effect sensor based switching mechanism was introduced for controlling the duration of the activation of the device. The control signals were wirelessly transmitted to the assistive device (robotic vehicle). The training and the subsequent use of the developed control system were easy.

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