11 July 2016 Low-cost assistive device for hand gesture recognition using sEMG
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Proceedings Volume 10011, First International Workshop on Pattern Recognition; 100111B (2016) https://doi.org/10.1117/12.2243167
Event: First International Workshop on Pattern Recognition, 2016, Tokyo, Japan
Abstract
In this paper a low-cost solution for surface EMG (sEMG) signal retrieval is presented. The principal goal is to enable reading the temporal parameters of muscles activity by a computer device, with its further processing. Paper integrates design and deployment of surface electrodes and amplifier following the prior researches. Bearing in mind the goal of creating low-cost solution, the Arduino micro-controller was utilized for analog-to-digital conversion and communication. The software part of the system employs support vector machine (SVM) to classify the EMG signal, as acquired from sensors. Accuracy of the proposed solution achieves over 90 percent for six hand movements. Proposed solution is to be tested as an assistive device for several cases, involving people with motor disabilities and amputees.
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Ondrej Kainz, Ondrej Kainz, Dávid Cymbalák, Dávid Cymbalák, Slavomír Kardoš, Slavomír Kardoš, Peter Fecil'ak, Peter Fecil'ak, František Jakab, František Jakab, } "Low-cost assistive device for hand gesture recognition using sEMG", Proc. SPIE 10011, First International Workshop on Pattern Recognition, 100111B (11 July 2016); doi: 10.1117/12.2243167; https://doi.org/10.1117/12.2243167
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