AI IN SPORTS

Introduction:

The usage of Artificial intelligence in sports was started in mid 1997 .Over the last few years there are many advancements and changes in the AI across various sectors, now the advancement of AI was started in sports industry also. It is used to train the athletes and do strategic plans based on the opponents. Advanced analytics and biomechanics are used to train an AI algorithm. It is expected that the value of the AI in sports will start increasing exponentially from 2030.

History:

The first computer vision player tracking system in elite sports was done in 1997 by Prozone . In tennis the first umpiring use case Hawk-Eye computer tracking was introduced in 2001. In 2009 Sport VU’s ball and player tracking camera system is demonstrated for NBA executives. In 2011 WSC Sports begin automating production of highlights of the match.? The actual evolution of AI in sports was started in 2012 as spiideo invented as the first AI-powered , automated camera System for tacking sports. From then the tracking of sports has became an easy thing. In 2017 Zone7 launches the first sport science company leveraging AI to predict athlete injury risk.

Applications and use cases of AI in sports:

AI in sports had a wide range of applications such as Mentorship, Tactical Refinement , injury Rehabilitation , Referee Assistance etc . Some of the applications are explained in detail:

• Skill Recognition and Recruitment:

It is one of the specialized process of pinpointing the skills and talent of the athlete. It analyses the sports related data such as statistics of the player , footage of the game , analyzing player performance optimization, predicting the potential of the player and various other applications . Machine learning models can be trained on large datasets to understand the various sports skills. AI can predict the early identification of talented individuals by analyzing their performance data and comparing it with the landmarks to recruit the player.

• Gaming Metric analysis:

Gaming Metric analysis involves analyzing the strengths and weaknesses of the player in various aspects like aiming , decision making and etc. AI considers past matches and finds the opponents strategies and tactics . This helps the team or the player to increase winning chances in the game. The advanced AI algorithms can predict the players future performance based on the past data.

• Health and safety prevention:

It takes care about health and well being of the athlete. AI algorithms checks the heart rate and movement patterns of the athlete to prevent the injury .it uses biomechanics and wearable technology to reduce the risk of injuries. This not only give benefits to the athletes health and careers but also reduces cost associated with injuries for teams and organizations

• Diet plans and Training information

This helps the athletes to maintain and prepare for their physical well being. it works based on the factors like age, body composition, metabolism, gender and activity level. AI takes the above factors, athletes preferences and non preferences into consideration to generate the meal plan based on the nutritional needs. It gives nutrition plan based on pre-training, post training and game day to increase the performance of the player. For training it considers factors like sleep patterns, stress levels to adjust the training time of the athlete.

?Challenges of AI in Sports:

Although AI had bought about numerous benefits in the field of Sports there are some challenges also. They include Resistance to Technological Adoption, cost of implementation, privacy and security Concerns, interpretability of AI Decisions, Data Management, Injury precision. In injury Prediction Precision Ai shows the promise in predicting sports-related injuries , achieving a high level of accuracy remains a significant challenge.

Future of AI in Sports:

In the world of continuous integration of AI technologies the future of AI in sports is in the transformative era. The future of AI in sports holds significant promise across various aspects of industry. The future of AI in sports is brimming with exciting possibilities, poised to impact players, coaches, fans, and the entire in the significant ways. In future there may be significant trends in AI in sports like AI-powered training, Real-time tactical insights, Personalized context, Immersive Viewing experiences. AI assisted referees can be made in future to reduce the human errors and controversy

?Conclusion:

In conclusion the Artificial Intelligence in Sports changes the way that sports are played and officiated. These Changes are leading to better player safety,? more accurate calls , and more efficient game strategy . AI is becoming an essential part of the sports world and will continue to have significant impact in the future.

Written by:

Srivalli Chanumolu

Kognitiv Club

Department of Computer Science & Engineering, K L University.

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