Conventional proficient movement support systems apply force to the tool itself, neglecting the crucial individual finger movements required for precise tool manipulation. To address this limitation, we propose a novel writing proficiency system that specifically considers individual fingertip movements. This system aims to enhance finger movements during operation by delivering targeted force feedback directly to the fingertips, thereby improving overall tool manipulation proficiency. To establish this method, it is essential to understand finger posture during tool operation and the grasping force exerted by each finger. Therefore, this study measured finger pressure and posture during various writing tasks, including Kanji, spiral, and zigzag patterns, using pressure sensors and multiple cameras. The measurement results revealed distinct differences in characteristics between dominant and non-dominant hands. Specifically, the relationship between finger posture and pressure, and the coordination between the index finger and thumb, exhibited disparities in coordination and control accuracy between the dominant and non-dominant hands. Based on these findings, our objective is to improve tool manipulation by providing force feedback to enable the non-dominant hand to adopt the same proficient finger movements as the dominant hand.
YANASE et al. (Wed,) studied this question.