Next Article in Journal
A Study on the Mechanical Characteristics of String Planes of Badminton Racquets by Nonlinear Finite Element Analysis
Previous Article in Journal
The Influence of Backpack-Design on Thermophysiological Parameters during Simulated Hiking Activities
Proceeding Paper

Evaluation of a Framework for Visual-Feedback Training Based on a Modified Self-Organizing Map Using Sensing Information Including Muscle Activity

1
Department of Anatomy, Aichi Medical University, 1-1 Yazakokarimata, Nagakute 480-1195, Aichi, Japan
2
Department of Mechanical Engineering, Nagoya Institute of Technology, Gokiso-cho, Shouwa-ku, Nagoya 466-8555, Aichi, Japan
3
Department of Mechanical Engineering, Meijo University, 1-501 Shiogamaguchi, Tenpaku-ku, Nagoya 468-8502, Aichi, Japan
*
Author to whom correspondence should be addressed.
Presented at the 13th conference of the International Sports Engineering Association, Online, 22–26 June 2020.
Proceedings 2020, 49(1), 40; https://doi.org/10.3390/proceedings2020049040
Published: 15 June 2020
In this research, we propose a visual-feedback system and evaluate it based on motion-sensing and computational technologies. This system will help amateur athletes imitate the motor skills of professionals. Using a self-organizing map (SOM) to visualize high-dimensional time-series motion data, we recorded the cyclic motion information, including the muscle activities, of a male subject as he pedaled a bicycle ergometer. To clarify the difference between the subject’s motor skill and the target motor skill in a cyclic movement, we used the modified SOM algorithm; a visual-feedback system was developed, which displayed the target motion as a circular trajectory on a two-dimensional motor skills map. The subject trained by observing only the displayed static target trajectory; the subject’s real-time trajectory was constructed from the subject’s real-time motion. We validated our proposed framework for the visual-feedback system by evaluating the motion performance of a subject using feedback training.
Keywords: visual-feedback training; self-organizing map; electromyogram; inertial sensor visual-feedback training; self-organizing map; electromyogram; inertial sensor
MDPI and ACS Style

Yokota, H.; Naito, M.; Mizuno, N.; Ohshima, S. Evaluation of a Framework for Visual-Feedback Training Based on a Modified Self-Organizing Map Using Sensing Information Including Muscle Activity. Proceedings 2020, 49, 40. https://doi.org/10.3390/proceedings2020049040

AMA Style

Yokota H, Naito M, Mizuno N, Ohshima S. Evaluation of a Framework for Visual-Feedback Training Based on a Modified Self-Organizing Map Using Sensing Information Including Muscle Activity. Proceedings. 2020; 49(1):40. https://doi.org/10.3390/proceedings2020049040

Chicago/Turabian Style

Yokota, Hiroki, Munekazu Naito, Naoki Mizuno, and Shigemichi Ohshima. 2020. "Evaluation of a Framework for Visual-Feedback Training Based on a Modified Self-Organizing Map Using Sensing Information Including Muscle Activity" Proceedings 49, no. 1: 40. https://doi.org/10.3390/proceedings2020049040

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop