How will sports change with AI? Introducing 7 things that will be possible
AI is said to expand the possibilities of sports. Many will be interested in the possibilities of sports and AI. In this article, I will introduce the possibilities of sports by introducing AI with examples. If you want to know the impact of AI on sports, please refer to it.
Will AI change sports?
Introducing AI into sports will make athletes and spectators more enjoyable than ever.
AI is an abbreviation for Artificial Intelligence AI , which is artificial intelligence AI in Japanese. Reproduce artificial intelligence AI on a computer. Another feature is that it continues to evolve with the learning function.
Computers have been introduced for sports data analysis, but AI is expected to be even more effective. It is said to expand the possibilities of sports and has already been used in various situations.
7 things that can be done by incorporating AI into the sports industry
By introducing AI into sports, athletes and coaches can plan strategies and manage their physical condition. In addition, spectators can use it to obtain information on participating players.
AI has been used for data analysis and referee judgment, but it is expected to be used more than now due to the evolution of AI.
Here are seven things you can do by introducing AI into sports from various perspectives.
1: Can plan a strategy
With the ability of AI to predict and analyze, it is possible to simulate the movement of opponents. For example, it can be used for strategic planning in the fields of martial arts and ball games.
Until now, the staff in charge of analysis analyzed based on the data of the opponent, and the director made a strategy. A coach who reproduced the opponent's movements acted as a practice partner, and all of them would have relied on human power and long-standing intuition.
From now on, there is a possibility that the strategy set by AI will be reproduced or captured by the players. AI can also formulate strategies for simulation.
2: You can see player information in real time
By introducing AI, spectators can acquire data in real time. The way to enjoy watching sports at the game venue will expand.
Currently, when introducing players at the match venue, information using data is also released, but it is rare that individual spectators can cover the data they want.
With the introduction of AI, you can obtain data on opponents, past match results, data during the current match, etc. in real time. Data visualization using AI will enable us to provide the information that the audience wants.
3: The competition scene can be relayed with the tracking drone
By introducing an automatic tracking drone for sports broadcasting, the number of cameras can be significantly increased compared to the current live broadcasting, so you can enjoy the real pleasure of road racing competition.
Since automatic tracking requires collecting basic data to predict the movement of athletes and judging the surrounding situation, there are many challenges to realize. However, the tracking drone can also provide data to the audience at the same time. Audiences can also track only the players they want to support.
The detailed broadcast of the players who keep moving can be said to be the live-action style required by spectators who cannot go to the scene.
4: Can grasp the congestion situation
Predictive analytics of AI makes it possible to check the congestion status of events and competitions.
The venue where a large number of spectators and participants gather is crowded, including the staff. At that time, AI predicts the movement of people based on data such as the location information of smartphones and the usage status of ticket gates at stations.
If the congestion situation can be predicted, the operator can take appropriate measures such as staffing. Eliminating congestion provides a comfortable watching game, reducing dissatisfaction with the event and the burden on the management staff.
5: Can be used for scoring competitions
Currently, digital devices are being introduced for judgment in ball games, but AI is also expected to be used in scoring competitions that rely on human judgment.
Scoring competitions such as gymnastics and figure skating can be influenced by the referee's preferences. Therefore, if the performance is digitized and the scoring criteria are clarified, fair refereeing will be possible. The scoring criteria will be easier for the audience to understand, and it will be more enjoyable than ever.
6: Possibility of predicting player injuries
It is not suitable for young athletes with little data, but if you have abundant data such as veteran athletes, you may be able to predict injuries and mental disorders.
By analyzing the practice menu, the situation of the game, the physical condition, the history of injuries, etc., it is possible to predict the situation of injury to some extent. AI will now take over the condition adjustment and mental support that depended on the player's experience.
Although it is a difficult technique, it can be introduced from information that is easy to collect and easy to quantify.
7: AI-based coaching becomes possible
AI can also decide the positioning of baseball, soccer, etc. on behalf of the coach.
The batting order and the timing of pitcher appointments determine the flow of the game. It is hard to throw away the observational eyes and experience of the director and coach, but the theory by AI also motivates the players.
If you use it in an amateur tournament, you can expect the growth of the players through the successful experience, which will lead to the appointment of players to the coaches and the elimination of dissatisfaction with the strategy. It is data that can be used as a reference for coaches.
6 AI introduction cases in the sports industry
AI is actually being introduced in various sports. Originally, there are many instructors who emphasized data, and players also use their own equipment to take pictures of their performances and plays for reference.
Currently, software development companies are beginning to utilize data, devise ways to enhance entertainment that entertain spectators, and improve the efficiency of tournament and event management. We are also actively developing apps for sports enthusiasts. Here are six examples of AI implementation in the sports industry.
1: Predict the game development
Media are being developed that utilize AI to predict soccer battle conditions.
"SPAIA toto" predicts the battle situation and victory / defeat of toto target games based on the accumulated data. We will learn a wide range of data and simulate the game development 100 times to improve the prediction accuracy.
Predict the development of the game, such as the movements of starting members and players. There are lots of predictions about the risk of turbulent development such as players leaving and the weather.
2: AI explains the game
In the 2017 Nippon Professional Baseball series, "ZUNO-san," who used AI for the live performance of NHK, conducted an analysis according to the game situation.
We used deep learning to learn at-bat data from 2004 and developed it into prediction and analysis as the game progresses. There would have been some fun elements such as predictive confrontation.
It was responsible for analysis that was difficult to predict with conventional commentators, and realized sports commentary using AI.
3: AI determines the ticket price
Chiba Jets, a professional basketball player, has introduced "dynamic pricing" that uses AI to change ticket prices according to the demand of each game.
We analyze big data such as match schedules, opponents, seat types, and personal preferences, and calculate our own prices based on past ticket sales performance.
It is a system that you can rest assured that price fluctuations and purchase timing can be made independent for the purpose of suppressing resale prevention.
4: Mental support for athletes
You will be able to motivate your players through mental support.
"Vi" is an earphone type device that measures, stores, and analyzes running data such as heart rate, road gradient, and moving speed. Based on the analysis results, you will also get answers to the exercise menu questions.
It is said that it is possible to bring out high performance by supporting the mental practice by one person by also using the record of sleep time and lifestyle.
5: Check the condition of the players
There is also an app that measures your heart rate and other information with your wearable device to check and support your condition.
"WHOOP" also measures the degree of fatigue caused by exercise and the degree of recovery caused by sleep. Based on the result, we will calculate the required amount of sleep and propose the ideal wake-up time. It also displays the exercise menu, guidance on the amount of exercise, and the degree of goal achievement.
You can fine-tune the performance, and it is an app that can be used by professional athletes, the general public, and sports gyms.
6: Think about the training menu
An app has been developed that uses AI to propose meal menus according to the athlete's level.
"Food coach" is an app that allows you to receive dietary guidance from a sports nutritionist. It is possible to calculate the nutritional value of the food you ate from various meal data and make proposals according to the situation such as before and after the game.
We specialize in dietary guidance rather than conventional health care, such as scoring ideal meals according to the sport and position.
summary
Sports have focused on data for strategic planning, but AI is still in use.
With the introduction of AI, athletes will be able to receive support for practice menus and conditions. Coaches will be able to hire backed players. Audiences can enjoy the competition with increased entertainment while looking at the desired data, and the organizer can hold an efficient event.
With the advent of apps that can be used by sports enthusiasts other than professional athletes, the collaboration between AI and sports is endless.
In addition, there are companies that are actively promoting the use of AI, mainly for sports videos, such as using AI to edit highlights of sports-related videos. Why not consider a company that is aiming to expand its sports-related business using AI?
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