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From amateur players who enjoy sports throughout their lives to top athletes who participate in international competitions, interest in improving sports skills is growing. Coaches and their coaching are indispensable for improving sports skills, but it is difficult for many athletes, especially amateur athletes, to secure coaching. However, we thought that anyone could easily receive coaching through the use of an artificial intelligence (AI) coach. In order to bring about AI coaching, learning is important. The set of learning data must include data such as players' skills as they correspond to their gaze and performance. In particular, it is thought that analyzing gaze movement during sports may provide insight into exceptional athletic skills. In this study, we propose a skill sampling method of collecting learning data for the specific purpose of creating an AI coach, using a wireless eye movement measurement device and 4K imaging.

This paper aims to clarify the lower limit of the gaze time required during reading by investigating at a display time of 98 msec or less using the visual information processing analyzer developed in the previous research. The image display range and display time at the point of gaze was controlled by moving the window in conjunction with the eye movement. As a result, it was found that normal reading, as if there were no window or visual field restriction, could not be performed with a display time of 42 msec or less, but that normal reading could be performed when sentences were displayed in a window of 7 characters at 56 msec. In this way, we believe we can obtain useful knowledge that is necessary for studying more effective methods of displaying text on electronic device.