A system concept for EMG classification from measurement to deployment

Bence J. Borbély, Péter Szolgay

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper an overall concept of a classification system is presented using different hardware architectures for data measurement, classifier training and deployment. The system is designed for position estimation of human arm movements based on bioelectric signals of skeletal muscles (EMG) and utilizes model-based kinematics and deep neural networks at its core. As an example, measurement data from a multi-channel forearm EMG recording is presented from a task where a subject performed periodic wrist flexion and extension movements to show a novel automatic data labeling method.

Original languageEnglish
Title of host publicationCNNA 2016 - 15th International Workshop on Cellular Nanoscale Networks and Their Applications
EditorsRonald Tetzlaff
PublisherIEEE Computer Society
Pages121-122
Number of pages2
ISBN (Electronic)9783800742523
Publication statusPublished - Jan 1 2016
Event15th International Workshop on Cellular Nanoscale Networks and Their Applications, CNNA 2016 - Dresden, Germany
Duration: Aug 23 2016Aug 25 2016

Publication series

NameInternational Workshop on Cellular Nanoscale Networks and their Applications
Volume2016-August
ISSN (Print)2165-0160
ISSN (Electronic)2165-0179

Conference

Conference15th International Workshop on Cellular Nanoscale Networks and Their Applications, CNNA 2016
CountryGermany
CityDresden
Period8/23/168/25/16

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ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Cite this

Borbély, B. J., & Szolgay, P. (2016). A system concept for EMG classification from measurement to deployment. In R. Tetzlaff (Ed.), CNNA 2016 - 15th International Workshop on Cellular Nanoscale Networks and Their Applications (pp. 121-122). (International Workshop on Cellular Nanoscale Networks and their Applications; Vol. 2016-August). IEEE Computer Society.