Examination of a Skill Sampling Method of an Athlete Using the Athlete’s Movement and Eye Movement for the Development of an AI Coach
Takuya Sarugaku, Jun Lee, Yasuaki Matsumoto, Mitsuho Yamada · Advances in Science Technology and Engineering Systems Journal · 2020
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.