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.200512.009How to use a DOI?
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/).