ELECTROMYOGRAPHIC METHODS FOR TEXT ENTRY AND EDITING

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00224045" target="_blank" >RIV/68407700:21230/14:00224045 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.konferencestarnuti.cz/files/Starnuti_2014_sbornik.pdf" target="_blank" >http://www.konferencestarnuti.cz/files/Starnuti_2014_sbornik.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

ELECTROMYOGRAPHIC METHODS FOR TEXT ENTRY AND EDITING

Popis výsledku v původním jazyce

People with amputations are using myoelectric prostheses (EMG) controlled using binary sensors of muscular activity. The prostheses typically implement the pinch grasp. Our goal was to determine whether it was possible to use the EMG as a direct input method for a computer. Our further goal was to develop a system capable of input and editing of text in MS Word environment. We use non-invasive AgCl surface electrodes for the EMG detection. The acquired signal is amplified by 60 dB and further analyzed digitally in a dedicated hardware device with USB connectivity. We implemented a system enabling text input for people with amputations, based on EMG signals acquired from users' limbs. It is however possible to engage other muscle groups, e.g. mimic muscles. We currently finish the environment for text processing in the Microsoft Word environment. The system is based on automatic generation of user interfaces based on a known configuration of the EMG sensors. We have implemented and supp

Název v anglickém jazyce

ELECTROMYOGRAPHIC METHODS FOR TEXT ENTRY AND EDITING

Popis výsledku anglicky

People with amputations are using myoelectric prostheses (EMG) controlled using binary sensors of muscular activity. The prostheses typically implement the pinch grasp. Our goal was to determine whether it was possible to use the EMG as a direct input method for a computer. Our further goal was to develop a system capable of input and editing of text in MS Word environment. We use non-invasive AgCl surface electrodes for the EMG detection. The acquired signal is amplified by 60 dB and further analyzed digitally in a dedicated hardware device with USB connectivity. We implemented a system enabling text input for people with amputations, based on EMG signals acquired from users' limbs. It is however possible to engage other muscle groups, e.g. mimic muscles. We currently finish the environment for text processing in the Microsoft Word environment. The system is based on automatic generation of user interfaces based on a known configuration of the EMG sensors. We have implemented and supp

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název statě ve sborníku

Stárnutí 2014

ISBN

978-80-87878-11-8

ISSN

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e-ISSN

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Počet stran výsledku

4

Strana od-do

110-113

Název nakladatele

Univerzita Karlova v Praze, 3. lékařská fakulta

Místo vydání

Praha

Místo konání akce

Praha

Datum konání akce

24. 10. 2014

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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