Hand posture and gesture recognition using MYO armband and spectral collaborative representation based classification

Ali Boyali; Naohisa Hashimoto; Osamu Matsumoto

doi:10.1109/GCCE.2015.7398619

Hand posture and gesture recognition using MYO armband and spectral collaborative representation based classification

Ali Boyali, Naohisa Hashimoto, Osamu Matsumoto

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

35 Citations (Scopus)

Abstract

In this paper, we propose the use of Collaborative based Representation in Spectral Domain to recognize the postures and gestures from the Electromyography (EMG) recordings acquired by a recently introduced sensor; Thalmic Labs' MYO armband. The recognition accuracy obtained for a set of six hand gestures and postures is promising with an accuracy over 97 % which is a competent result in the related literature. The algorithms are developed for creating an intuitive human machine interface for navigating a robotic wheelchair.

Original language	English
Title of host publication	2015 IEEE 4th Global Conference on Consumer Electronics, GCCE 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	200-201
Number of pages	2
ISBN (Electronic)	9781479987511
DOIs	https://doi.org/10.1109/GCCE.2015.7398619
Publication status	Published - 2016 Feb 3
Externally published	Yes
Event	4th IEEE Global Conference on Consumer Electronics, GCCE 2015 - Osaka, Japan Duration: 2015 Oct 27 → 2015 Oct 30

Publication series

Name	2015 IEEE 4th Global Conference on Consumer Electronics, GCCE 2015

Other

Other	4th IEEE Global Conference on Consumer Electronics, GCCE 2015
Country/Territory	Japan
City	Osaka
Period	15/10/27 → 15/10/30

Keywords

Collaborative based Classification
EMG gesture recognition
MYO armband

ASJC Scopus subject areas

Instrumentation
Biotechnology
Computer Networks and Communications
Signal Processing
Electrical and Electronic Engineering

Access to Document

10.1109/GCCE.2015.7398619

Cite this

Boyali, A., Hashimoto, N., & Matsumoto, O. (2016). Hand posture and gesture recognition using MYO armband and spectral collaborative representation based classification. In 2015 IEEE 4th Global Conference on Consumer Electronics, GCCE 2015 (pp. 200-201). Article 7398619 (2015 IEEE 4th Global Conference on Consumer Electronics, GCCE 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GCCE.2015.7398619

Hand posture and gesture recognition using MYO armband and spectral collaborative representation based classification. / Boyali, Ali; Hashimoto, Naohisa; Matsumoto, Osamu.
2015 IEEE 4th Global Conference on Consumer Electronics, GCCE 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 200-201 7398619 (2015 IEEE 4th Global Conference on Consumer Electronics, GCCE 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Boyali, A, Hashimoto, N & Matsumoto, O 2016, Hand posture and gesture recognition using MYO armband and spectral collaborative representation based classification. in 2015 IEEE 4th Global Conference on Consumer Electronics, GCCE 2015., 7398619, 2015 IEEE 4th Global Conference on Consumer Electronics, GCCE 2015, Institute of Electrical and Electronics Engineers Inc., pp. 200-201, 4th IEEE Global Conference on Consumer Electronics, GCCE 2015, Osaka, Japan, 15/10/27. https://doi.org/10.1109/GCCE.2015.7398619

Boyali A, Hashimoto N, Matsumoto O. Hand posture and gesture recognition using MYO armband and spectral collaborative representation based classification. In 2015 IEEE 4th Global Conference on Consumer Electronics, GCCE 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 200-201. 7398619. (2015 IEEE 4th Global Conference on Consumer Electronics, GCCE 2015). doi: 10.1109/GCCE.2015.7398619

Boyali, Ali ; Hashimoto, Naohisa ; Matsumoto, Osamu. / Hand posture and gesture recognition using MYO armband and spectral collaborative representation based classification. 2015 IEEE 4th Global Conference on Consumer Electronics, GCCE 2015. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 200-201 (2015 IEEE 4th Global Conference on Consumer Electronics, GCCE 2015).

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abstract = "In this paper, we propose the use of Collaborative based Representation in Spectral Domain to recognize the postures and gestures from the Electromyography (EMG) recordings acquired by a recently introduced sensor; Thalmic Labs' MYO armband. The recognition accuracy obtained for a set of six hand gestures and postures is promising with an accuracy over 97 % which is a competent result in the related literature. The algorithms are developed for creating an intuitive human machine interface for navigating a robotic wheelchair.",

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Hand posture and gesture recognition using MYO armband and spectral collaborative representation based classification

Abstract

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Keywords

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