The need for big data analysis in sports has long been around.(The human abyss' instinct to beat the opponent remains the same.) Sports have entered an infinite world of competition, where human bodies and minds alone cannot produce the best results. In sports with fair rules, winning or losing has become a good option that encompasses human limitations and collectivism solidarity. A long time ago, in the movie Rocky 3, which deals with the confrontation in the sports field between the U.S. and the Soviet Union during the Cold War, there is a scene where the practice scene of a player practicing sports science and a player overcoming human limitations in nature. The result is of course a victory for the United States. Now, sports science is being introduced in every country. Traditional training methods have reached their limits in the field of record competition challenging human limitations and combined physical strength and technology, and the technology of equipment has developed by leaps and bounds. Although it is common these days, the technology for measuring paths and movements by attaching sensors to the bottom of Nike's sneakers has been expanded and used for strategic analysis of professional soccer players, and the technology developed by early German SAP to improve their performance and develop tactics in World Cup competitions has become a popular technology. Now, Messi seems to be loitering the ground, but if you analyze it with actual data, the monitor will show a plot to dig into an advantageous space over the opponent's defense by instant judgment. Messi's secret is revealed. Of course, sensors are attached for better performance and post-analysis is performed, but real-time coaching is done immediately due to the development of near-field communication technology and the development of artificial intelligence. Japan is investing huge amounts of money in its experience in hosting several Winter Olympics and entering the world's 10th largest alpine club. Skiing has no idea what position you are currently in. Unless you ski in front of a mirror, it is usually a repeat of the post-analysis, feedback and practice through imaging. In the early-long-term video, alpine skiers will record changes in their bodies and send them to the analysis team at the end point as they go downhill with a backpack containing sensors. However, it is now transmitted to the terminals of athletes and coaches through sensors attached to ski boots and can receive coaching through artificial intelligence. These collected data are analyzed to establish exercise intensity and schedule. This product will have the same effect as coaching a skier right next to him. He can check and modify the differences in his small movements, helping to improve his actual performance.
The performance will vary depending on the time of use of the collected data. When divided into hindsight (game result analysis) and real-time coaching, appropriate utilization models will be available depending on the type of sport. The previous example of a ski event is a major competition, where the ranking is determined within one second. The breathing of the skier, and the small unexpected movement, can also interfere with the optimum record. In addition to physical training, the skiers also tune their ski equipment according to the conditions of the slopes on the day of the competition. These activities are also the result of long-term competition experience and accumulation of data, as well as a generous investment in the development of equipment for athletes to improve their performance by sharing data with ski equipment companies. First of all, if you look at the utilization of the data from the player's side, the priority is to optimize the selection of practice methods and equipment that meet the players' own physical conditions. With the development of 3D printing technology and the emergence of suppliers with individual production facilities, it is possible to have customized equipment that has become cheaper than before.
Steve(JongMyoung) Park, Ph.D.
Ph.D. in Business Administration
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