Coaches are the most professional people on the sports field who understand techniques and tactics, they not only undertake professional guidance of sports movements, but also include pre-game technical analysis, pre-game tactical layout, post-game technical summary and post-game tactical summary. In general, sports competition is not only a competition between athletes, but also a competition between coaching teams. An experienced coach first needs to obtain the training and competition data of his and his opponent's athletes, then analyze these data, and finally formulate the corresponding training plan and competition strategy on the analysis results.
With the rapid development of artificial intelligence, more and more coaching teams in sports have begun to use artificial intelligence to assist in training athletes and provide guidance strategies. In 2019, Wingate, the team of England's seventh division. The Fenridge team became the first soccer team to use an AI coach, and Al Coach could enter data for every team encountered, including Wingate Fenrich, and analyze the game minute by minute.
How does AI assist coaches on the playing field? In fact, we can treat the artificial intelligence algorithm as an ordinary novice coach, at the beginning of use, it does not know who is the athlete, what the athlete is doing, and even can not distinguish between people and things, but it can learn 24 hours a day, just like the turtle in the tortoise and rabbit race, although it walks slowly, it can go all the way. Athletes will generate massive amounts of data at every moment, and these data are learnable data for artificial intelligence, and artificial intelligence has learned to distinguish who is an athlete and what is the standard action of the sport under the guidance of the athlete's data. However, artificial intelligence-assisted coaches can only guide the standard movements of new students, and have little effect on professional athletes. Because professional athletes need to generate corresponding training strategies and pre-game optimal tactical layouts for competitors.
For the general public, having coaches to guide the movement can help us quickly master standard movements and avoid injuries, but there are still few coaches and expensive. Unlike real-world coaches, Al Coaches can collect data with low-cost devices. For example, the data is given to artificial intelligence for learning, and the trained artificial intelligence algorithm can generate guidance for the user and convey it to the user in the form of sound or picture. In addition, the mobile phone also implements real-time Al coach technology, which uses the self-developed human bone key point detection algorithm and joint jitter algorithm to enable the mobile phone to achieve real-time, high-precision attitude detection, and timely feedback to the user's movements. And after the exercise, the body test report can be generated for the user. The detection of this artificial intelligence algorithm
The measurement capacity will continue to increase as the number of users increases and the use time increases.
Excerpt from Knowledge is Power