Running Data Leads To Skill Grouping
Researchers have announced a new system for improving runners skills and it is based on big data analysis. Researchers with the University of Tsukuba have developed a technology that instructs the ideal running motions based on big data of motions collected by monitoring motions during running via sensors and videos.
The researchers analyzed the running motion data of about 2,000 runners by using the artificial intelligence technique and expressed them in numerical skill values. What they discovered was that the movements of the knees, elbows and ankles differed between high-rank marathon runners and beginners.
Based on the findings, a technology known as skill grouping was developed for assisting runners with improving their skills by displaying the effects of the movements in easy-to-understand scores.
Skill grouping is also used for time-sequential health care and motor capacity control such as during conditioning and rehabilitation. As it converts movements into objective values, it enables information devices that have been difficult to generalize to be developed. It is expected to lead to the development of other health care tools such as mobile-phone applications.
Another possible application of skill grouping is to assist transmission of traditional performance arts and design skills. Skill grouping is expected to realize a new system of artificial intelligence supporting "transmission of traditional skills," which is one of the globally urgent issues.
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