Measurement system for classification of hand's gesture

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F18%3A10241564" target="_blank" >RIV/61989100:27240/18:10241564 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/HealthCom.2018.8531079" target="_blank" >http://dx.doi.org/10.1109/HealthCom.2018.8531079</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/HealthCom.2018.8531079" target="_blank" >10.1109/HealthCom.2018.8531079</a>

Result language
angličtina
Original language name
Measurement system for classification of hand's gesture
Original language description
The goal was to create precise hardware that would be able to measure signal of myopotentials from defined area of forearm for the computer analysis without external noise and with right amplification. The second goal was to program an algorithm which could classify specific gestures of hand based on an analy17sis of myopotencial signals. The computer software was programmed in C# programming language. Signal processing and drawing to user interface was in real time. The one of five possible gestures that user made was analysed by using fuzzy logic and designed system of scaling. It was developed fuzzy classification which is able to recognize gestures with high accuracy. (C) 2018 IEEE.
Czech name
—
Czech description
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Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2018 IEEE 20th International Conference on e-Health Networking, Applications and Services, Healthcom 2018
ISBN
978-1-5386-4294-8
ISSN
—
e-ISSN
neuvedeno
Number of pages
5
Pages from-to
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Publisher name
IEEE
Place of publication
Piscataway
Event location
Ostrava
Event date
Sep 17, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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