【原著論文】モチベーションの維持・向上を目的とした高齢者の運動評価システム

In aging societies, sustaining exercise motivation among older adults is essential for maintaining both physical and cognitive health. While regular activity improves mobility, mental well-being, and dementia prevention, elderly care facilities face difficulties in keeping users engaged. Prior studies indicate that self-efficacy, goal-setting, and quantifiable feedback can enhance long-term participation. This study proposes a motivation-oriented exercise evaluation system using MediaPipe for vision-based motion analysis. This system provides feedback on health dance scores and finger tapping counts. For dance scores, it quantifies and provides feedback on dance duration compared to the model, the amount of hand movement, and the degree of arm elevation. In the dance evaluation experiment, we confirmed the validity based on evaluation metrics and robustness against variations in the camera framing for both standing and seated conditions. In the finger tapping experiment, tapping counts of 50 or fewer within 15 seconds were accurately recognized. The system analyzes user-recorded exercise videos and provides feedback such as scores, positive comments, and performance history. By presenting measurable results similar to pedometer data or karaoke scoring, the system encourages sustained participation. Focusing on dance and finger exercises, which promote enjoyment and cognitive activation, the proposed approach aims to support sustainable and engaging exercise routines for elderly facility users.