Real Time Emg Detection In Therapeutic Game
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Date
2020
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Mark
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Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract
This article focuses on real-time detection of activity in electromyographical signal. The study is based on controlling the therapeutic game through the muscle activity, called myofeedback. Many different algorithms can be used to detect EMG signal. Nowadays there is rapid development of artificial intelligence not only in biomedical engineering. In this paper there is implemented convolutional neural network for signal segmentation with accuracy 97,13%.
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Proceedings II of the 26st Conference STUDENT EEICT 2020: Selected Papers. s. 68-71. ISBN 978-80-214-5868-0
https://conf.feec.vutbr.cz/eeict/EEICT2020
https://conf.feec.vutbr.cz/eeict/EEICT2020
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Peer-reviewed
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en
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© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií