Development of motor learning support system adjusting the amount of practice based on the physical condition

2023 Fiscal Year Final Research Report

• Project/Area Number: 22K17756
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 59030:Physical education, and physical and health education-related
• Research Institution: Keio University
• Principal Investigator: Takemi Mitsuaki 慶應義塾大学, 理工学研究科(矢上), 特任講師 (90828302)
• Project Period (FY): 2022-04-01 – 2024-03-31
• Keywords: 身体運動 / 筋電図 / 疲労 / あがり / バイオマーカー

Outline of Final Research Achievements

The aim of this study was to establish a support system that monitors physical state changes during exercise, and when abnormalities are detected, suggests pausing practice or changing exercise strategies, thereby facilitating the acquisition and execution of motor skills without physical strain. Over the two-year research period, we achieved two significant outcomes. First, we found that the ratio of electromyographic (EMG) amplitude to actual exerted force serves as a fatigue-related biomarker correlated with learning conditions. This finding has been published in a peer-reviewed journal. Second, we discovered that pre-movement muscle co-contraction could serve as a potential biomarker reflecting psychological pressure. This study set extreme high-reward conditions to induce "nervous" states in participants and compared muscle activity to normal reward conditions. The preliminary findings have been published as a preprint and are currently under review in a peer-reviewed journal.

Free Research Field

身体運動の神経科学

Academic Significance and Societal Importance of the Research Achievements

本研究の学術的意義は、運動中の心身の状態を客観的に評価する新しいバイオマーカーを提案した点にある。特に、筋電図と筋力の比や運動前の筋の共収縮が有用な指標となることを示した点は、運動生理学やリハビリテーション分野において重要である。社会的意義としては、運動中の過剰な負荷や心理的プレッシャーによるパフォーマンス低下を防ぎ、より安全で効果的なトレーニング方法を提供することが期待される。これにより、スポーツ選手だけでなく、高齢者やリハビリ患者にも広く応用可能な支援システムの開発が見込まれる。