Abstract
The goal of this paper is to show EMG based system control applied to motorized orthoses. Through two biometrical sensors it captures biceps and triceps EMG signals, which are then filtered and processed by an acquisition system. Finally an output/control signal is produced and sent to the actuators, which will then perform the proper movement. The research goal is to predict the movement of the lower arm through the analysis of EMG signals, so that the movement can be reproduced by an arm orthosis, powered by two linear actuators.
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Suberbiola, A., Zulueta, E., Lopez-Guede, J.M., Etxeberria-Agiriano, I., Van Caesbroeck, B. (2013). Arm Orthosis/Prosthesis Control Based on Surface EMG Signal Extraction. In: Pan, JS., Polycarpou, M.M., Woźniak, M., de Carvalho, A.C.P.L.F., Quintián, H., Corchado, E. (eds) Hybrid Artificial Intelligent Systems. HAIS 2013. Lecture Notes in Computer Science(), vol 8073. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40846-5_51
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DOI: https://doi.org/10.1007/978-3-642-40846-5_51
Publisher Name: Springer, Berlin, Heidelberg
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