Classification of Myopotentials of Hand's Motions to Control Applications
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F19%3A10241591" target="_blank" >RIV/61989100:27240/19:10241591 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.1007/978-981-10-9038-7_28" target="_blank" >http://dx.doi.org/10.1007/978-981-10-9038-7_28</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-981-10-9038-7_28" target="_blank" >10.1007/978-981-10-9038-7_28</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Classification of Myopotentials of Hand's Motions to Control Applications
Popis výsledku v původním jazyce
Realization of the system for classification of hand's gestures is described in this paper. The first goal was to create hardware that would be able to measure signal of myopotentials for computer analysis without external noise and with right amplification. The second goal was to program an algorithm which could classify specific gestures of hand. Hardware prototype of four measuring channels was created by combination of 2nd order filters and right amount amplification. The user is isolated from the power source using galvanic isolation because of usage of active electrodes. For digitizing the data, the Arduino Nano microcontroller was selected and programmed using defined communication protocol. The computer software is programmed in C# programming language. Signal processing and drawing to user interface is in real time. The one of five possible gestures that user made is chosen using fuzzy logic and designed system of scaling.
Název v anglickém jazyce
Classification of Myopotentials of Hand's Motions to Control Applications
Popis výsledku anglicky
Realization of the system for classification of hand's gestures is described in this paper. The first goal was to create hardware that would be able to measure signal of myopotentials for computer analysis without external noise and with right amplification. The second goal was to program an algorithm which could classify specific gestures of hand. Hardware prototype of four measuring channels was created by combination of 2nd order filters and right amount amplification. The user is isolated from the power source using galvanic isolation because of usage of active electrodes. For digitizing the data, the Arduino Nano microcontroller was selected and programmed using defined communication protocol. The computer software is programmed in C# programming language. Signal processing and drawing to user interface is in real time. The one of five possible gestures that user made is chosen using fuzzy logic and designed system of scaling.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
20201 - Electrical and electronic engineering
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2019
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
IFMBE Proceedings. Volume 68, issue 3
ISBN
978-981-10-9022-6
ISSN
1680-0737
e-ISSN
—
Počet stran výsledku
6
Strana od-do
155-158
Název nakladatele
Springer
Místo vydání
New York
Místo konání akce
Praha
Datum konání akce
3. 6. 2018
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
000449742700028