Communication Tool for Disabled People Based on Surface Electromyography

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F20%3A63525497" target="_blank" >RIV/70883521:28140/20:63525497 - isvavai.cz</a>

Výsledek na webu

<a href="https://dl.acm.org/doi/10.1145/3418094.3418110" target="_blank" >https://dl.acm.org/doi/10.1145/3418094.3418110</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/3418094.3418110" target="_blank" >10.1145/3418094.3418110</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Communication Tool for Disabled People Based on Surface Electromyography

Popis výsledku v původním jazyce

Surface electromyography is a non-invasive method, which can be used not only for measuring and detecting abnormalities in the human body but also to create biofeedback in rehabilitation. This biofeedback can connect rehabilitation and computer science. Our research is aimed to create biofeedback using surface electromyography, which can help communication for disabled people. For this purpose, we created a simple communication tool, which is based on surface electromyography. Our proposed biofeedback is designed by Arduino Uno with the SpikerShield board, which is responsible for acquiring EMG signals. The software part of our biofeedback is formed in Arduino IDE and the graphical interface was composed in programming language C#. Our proposed communication tool is based on the intensity of muscle activity recorded from the muscle of interest.

Název v anglickém jazyce

Communication Tool for Disabled People Based on Surface Electromyography

Popis výsledku anglicky

Surface electromyography is a non-invasive method, which can be used not only for measuring and detecting abnormalities in the human body but also to create biofeedback in rehabilitation. This biofeedback can connect rehabilitation and computer science. Our research is aimed to create biofeedback using surface electromyography, which can help communication for disabled people. For this purpose, we created a simple communication tool, which is based on surface electromyography. Our proposed biofeedback is designed by Arduino Uno with the SpikerShield board, which is responsible for acquiring EMG signals. The software part of our biofeedback is formed in Arduino IDE and the graphical interface was composed in programming language C#. Our proposed communication tool is based on the intensity of muscle activity recorded from the muscle of interest.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

ACM International Conference Proceeding Series

ISBN

978-145037776-8

ISSN

—

e-ISSN

—

Počet stran výsledku

4

Strana od-do

86-89

Název nakladatele

Association for Computing Machinery

Místo vydání

New York

Místo konání akce

neuvedeno

Datum konání akce

14. 8. 2020

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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