Development of Methods for Optimizing Individualized Training of Motor Skills Using Smart Devices and Artificial Intelligence

2023 Fiscal Year Final Research Report

• Project/Area Number: 20K14082
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 09070:Educational technology-related
• Research Institution: Miyagi University of Education
• Principal Investigator: ITAGAKI Shota 宮城教育大学, 教育学部, 准教授 (20847850)
• Project Period (FY): 2020-04-01 – 2024-03-31
• Keywords: 運動技能 / 人工知能 / スマートデバイス / e-Learning / 木材加工 / のこぎり引き

Outline of Final Research Achievements

The aim of this study is to develop methods for optimizing individualized training in the acquisition of motor skills through the sensing and analysis of motor skills using smart devices and artificial intelligence (AI). The application of smart devices involves motion sensing and providing feedback, while AI is used for motion sensing through image recognition technology and pose detection technology, as well as for analyzing the data sensed by the smart devices. Improvement in skills was observed from the practice of sawing using smart devices and AI skeletal detection technology. Furthermore, it was suggested that analyzing the sensing data obtained from smart devices with AI enables the classification of sawing types and provides corresponding advice.

Free Research Field

教育工学

Academic Significance and Societal Importance of the Research Achievements

これまで，遠隔学習において運動技能の学習は困難であったが，指導者と学習者が同じ空間にいない状況でも，開発した手法を用いることで一定の学習を行うことができるようになった。また手法における学習の一定の効果を示した。また，従来対象とする運動技能によって，センシングや評価をすべき観点が異なっており，開発された手法の汎用性が小さかったが，開発した手法はAIにより動作の特徴を学習・分類可能であるため，対象とする運動技能によらず幅広く応用できる可能性があるといえる。