Authors
Kengo Kitakura, Hideyuki Tanaka*
Graduate School of Education, Hiroshima University, Kagamiyama 1-1-1, Higashi-hiroshima,
Hiroshima 739-8524, Japan
*Corresponding author. Email: [email protected]
Corresponding Author
Hideyuki Tanaka
Received 31 October 2019, Accepted 25 February 2020, Available Online 20
May 2020.
DOI
https://doi.org/10.2991/jrnal.k.200512.009
Keywords
Learning curve; data distribution; Myo armband; American sign; reliable
gesture recognition
Abstract
This paper studies verification of a combination of hand gestures recognized
by using the Myo armband as an input device. To this end, relationship
between data distribution and learning curves is investigated for binary
classification and multi-class classification problems. A verification
method is then proposed for finding a combination of gestures accurately
classified. Experiments show effectiveness of the proposed method.
Copyright
© 2020 The Authors. Published by ALife Robotics Corp. Ltd.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license
(http://creativecommons.org/licenses/by-nc/4.0/).