Spectral collaborative representation based classification by circulants and its application to hand gesture and posture recognition from electromyography signals

Ali Boyali, Naohisa Hashimoto, Osamu Matsumoto

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

1 Citation (Scopus)

Abstract

In this study we introduce and demystify a novel signal pattern recognition method, Spectral Collaborative Representation based Classification (SCRC) and demonstrate its application for recognition of hand gestures and postures using Electromyography sensors. A recently released Thalmic Labs MYO armband is used to gather muscle electromyography signals. Along with the new signal pattern classification algorithm, we also introduce a training approach which implicitly embeds the gesture boundaries in a training dictionary that allows continous gesture and posture recognition. The worst recognition accuracy we obtained for a set of experiments is over 97% which is the highest recognition results in the literature where bio-signals are used.

Original languageEnglish
Title of host publicationProceedings of the 2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2015
EditorsHamid R. Arabnia, Leonidas Deligiannidis, Fernando G. Tinetti, George Jandieri, Gerald Schaefer, Ashu M. G. Solo
PublisherCSREA Press
Pages30-35
Number of pages6
ISBN (Electronic)1601324049, 9781601324047
Publication statusPublished - 2015
Externally publishedYes
Event2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2015, at WORLDCOMP 2015 - Las Vegas, United States
Duration: 2015 Jul 272015 Jul 30

Publication series

NameProceedings of the 2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2015

Conference

Conference2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2015, at WORLDCOMP 2015
CountryUnited States
CityLas Vegas
Period15/7/2715/7/30

Keywords

  • Continous gesture recognition
  • EMG gesture
  • Gesture training matrix
  • Myo armband
  • Spectral representation

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design

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