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

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルProceedings of the 2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2015
編集者Hamid R. Arabnia, Leonidas Deligiannidis, Fernando G. Tinetti, George Jandieri, Gerald Schaefer, Ashu M. G. Solo
出版社CSREA Press
ページ30-35
ページ数6
ISBN(電子版)1601324049, 9781601324047
出版ステータスPublished - 2015
外部発表はい
イベント2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2015, at WORLDCOMP 2015 - Las Vegas, United States
継続期間: 2015 7 272015 7 30

出版物シリーズ

名前Proceedings 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
国/地域United States
CityLas Vegas
Period15/7/2715/7/30

ASJC Scopus subject areas

  • コンピュータ ビジョンおよびパターン認識
  • コンピュータ グラフィックスおよびコンピュータ支援設計

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