Verification of a Combination of Gestures Accurately Recognized by Myo using Learning Curves
- 10.2991/jrnal.k.200512.009How to use a DOI?
- Learning curve; data distribution; Myo armband; American sign; reliable gesture recognition
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.
- © 2020 The Authors. Published by Atlantis Press SARL.
- 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/).
Cite this article
TY - JOUR AU - Kengo Kitakura AU - Hideyuki Tanaka PY - 2020 DA - 2020/05/20 TI - Verification of a Combination of Gestures Accurately Recognized by Myo using Learning Curves JO - Journal of Robotics, Networking and Artificial Life SP - 41 EP - 47 VL - 7 IS - 1 SN - 2352-6386 UR - https://doi.org/10.2991/jrnal.k.200512.009 DO - 10.2991/jrnal.k.200512.009 ID - Kitakura2020 ER -