Detail publikace

PATTERN RECOGNITION IN SURFACE ELECTROMYOGRAPHY

CHALUPA, D. SMITAL, L.

Originální název

PATTERN RECOGNITION IN SURFACE ELECTROMYOGRAPHY

Český název

PATTERN RECOGNITION IN SURFACE ELECTROMYOGRAPHY

Anglický název

PATTERN RECOGNITION IN SURFACE ELECTROMYOGRAPHY

Typ

článek ve sborníku

Jazyk

cs

Originální abstrakt

In this paper, a method is proposed to differentiate patterns in one-channel surface electromyography. This particular method uses an example signal containing all relevant patterns to learn spectral coefficients. These coefficients are used to analyze unknown signals. An example of finger recognition algorithm based on a signal from forearm muscles is shown and discussed.

Český abstrakt

In this paper, a method is proposed to differentiate patterns in one-channel surface electromyography. This particular method uses an example signal containing all relevant patterns to learn spectral coefficients. These coefficients are used to analyze unknown signals. An example of finger recognition algorithm based on a signal from forearm muscles is shown and discussed.

Anglický abstrakt

In this paper, a method is proposed that differentiate patterns in one-channel surface electromyography. This particular method uses an example signal containing all relevant patterns to learn spectral coefficients. These coefficients are used to analyze unknown signals. An example of finger recognition algorithm based on a signal from forearm muscles is shown and discussed.

Klíčová slova

EMG, pattern, recognition, Fourier, Teager-Kaiser

Rok RIV

2015

Vydáno

23.04.2015

Místo

Brno

ISBN

978-80-214-5148-3

Kniha

Proceedings of the 21st Conference STUDENT EEICT 2015

Strany od

68

Strany do

70

Strany počet

3

URL

BibTex


@inproceedings{BUT131686,
  author="Daniel {Chalupa} and Lukáš {Smital}",
  title="PATTERN RECOGNITION IN SURFACE ELECTROMYOGRAPHY",
  annote="In this paper, a method is proposed to differentiate patterns in one-channel surface electromyography. This particular method uses an example signal containing all relevant patterns to learn spectral coefficients. These coefficients are used to analyze unknown signals. An example of finger recognition algorithm based on a signal from forearm muscles is shown and discussed.",
  booktitle="Proceedings of the 21st Conference STUDENT EEICT 2015",
  chapter="131686",
  howpublished="print",
  year="2015",
  month="april",
  pages="68--70",
  type="conference paper"
}