Tennis has been around for a very long time. Racquets have been made of ash and have an oval head. However, wooden racquets have weaknesses.
Take this example of a 12th-century racquet. It was the prototype of the racquets we have today, built of wood and gut. Racquets broke easily, and there were always challenges to improving the racquet. Some of these had to do with strengthening the frame. Other problems were strengthening the space between the head and the attachment to the handle. By 1905 Spalding had figured out that a wedge could be screwed into the bottom of the head and that, attached with a metal screw to the handle this would strengthen the racquet further. Finally racquets had to become more aerodynamic https://racquets.tennisfame.com/wood-racquets).
Over time new developments in racquet technology included the development of metal racquets, then wood laminate racquets, metal and composite racquets, large headed racquets and eventually graphite racquets.
(Prototype, n.d.) (Jeu de Paume Glove, n.d.)
The technology of the racquet is just an example here and an introduction to the eruption of technology in other facets of the game. Racquet technology focused on the equipment and ways to improve would improve the player’s game. More recently technology has become a whole game analysis tool that looks at the player’s technique from grip and swing to how hard players impact the ball, how much the material is moving or bending when the ball hits the racquets, to game analysis in real time. The game analysis includes the accuracy of points made, statistics for games, and players in real time and over time. This paper considers other technologies that support racquet sports from the racquet itself to the holistic analysis of the game from many angles.
First, let’s return to the racquet, the player’s central piece of equipment. In a 2019 study on racquet technology, researchers analyzed the performance of racquets using game statistics from four tournaments. Then they measured the improvements and performance changes in five players using four different racquets, from wooden to composite. The study found that player performance highly depended on the racquet used, with a positive trend in player statistics with the newer composite racquets (Osdemir et al. 2019). The study supports the purchase of new racquets as they emerge on the market, especially if they maintain the characteristics that improve play and refine them to make a stronger, lighter, more flexible, and responsive racquet.
Equipment advances are not the only technology in racket sports. Now technology covers many other aspects of a player’s game and analysis of the game as a whole over time on different courts and across locations and players. First are the innovations in gathering performance statistics from individual players. Technology can now measure players’ performance through sensor-based, computer-based, and wireless and mobile technology applications. Gosh et al. (2023) categorize tech learning into four areas: statistical learning and analysis, deep learning, reinforcement learning, and comparative discussion. Specific uses include statistical analysis of plays, analyzing players’ reaction speed, and footwork. This technology is very applicable to all sports, but useful for racquet sports, helping players reflect and practice their skills with concrete feedback analyzed by the coach.
The products offered by SportAI are equally useful, as they can translate a short video of an individual’s playing style and recommend the right gear for that player (Thome, 2024). The sports analytics website offers a range of articles on how to use video technology to coach players without the need for wearable technology (SportAI, n.d.).
Finally, there is virtual reality technology, including Artificial Intelligence (AI), Virtual Reality (VR), Augmented Reality (AR), and Data Visualization (DV) in sports training. AI creates a strong statistical analysis of data from real-time play, matches, and individual players. VR lets players practice their skills in realistic settings that challenge their skill level. AR allows players to receive tips while playing and to help with tactical planning, even during a match. DV provides data visuals that enable a better understanding of the data collected. One review of the technology suggests that the best way to use this technology is to use all four together (Cossich et al., 2023).
For most of the racquet sports community, this technology is too expensive for the individual player. However, it is not out of reach for some high-end players and organizations. Wearable technology can help the individual player who can afford neither a coach nor high-tech analysis. For example, Swing Vision is an app made for Apple watches, which has been around since 2016. The main cost of that app is the Apple Watch! Reviews started shaky, but the app has improved over time. One review from Tennis Coaching has called it a game change,r particularly for measuring and analysing serve and swing performance (SwingVision Review: 5 Ways It Can Improve Your Tennis, 2022) Swing Vision Pro costs $149 which isn’t too bad if you can afford the hardware. Still, that can be too pricey for many. Because technology improves over time and the cost often reduces, this technology may eventually be available for the less well-funded racquet sports community. As a coach I like the technology more than many other coaches. It gives me the ability to collect more information than my human eye can see. Many coaches are worried that these devices are coming in to take their jobs. I see this technology as furthering our ability to do our jobs. The personal experience you provide as a coach will not be matched by an app or any technology. It is a tool that can improve coaching.
References
Cossich, V. R. A., Carlgren, D., Holash, R. J., & Katz, L. (2023). Technological breakthroughs in sport: Current practice and future potential of artificial intelligence, virtual reality, augmented reality, and modern data visualization in performance analysis. Applied Sciences, 13(23), 12965. https://doi.org/10.3390/app132312965
Ghosh, I., Ramasamy Ramamurthy, S., Chakma, A., & Roy, N. (2023). Sports analytics review: Artificial intelligence applications, emerging technologies, and algorithmic perspective. WIREs Data Mining and Knowledge Discovery, 13(5). https://doi.org/10.1002/widm.1496
Osdemir, O., Odabas, H. I., & Turan, T. (2019). Impact of Racquet Evolution: How New Technologies Affected Tennis Players’ Statistics? Pamukkale Journal of Sport Sciences, 10(2), 1–15.
Prototype. (n.d.). Early Metal. Retrieved May 6, 2025, from https://racquets.tennisfame.com/early-metal
SportAI. (n.d.). SportAI. https://sportai.com/
SwingVision, Inc. (2016, October 18). SwingVision: Tennis pickleball. App Store. https://apps.apple.com/us/app/swingvision-tennis-pickleball/id989461317
SwingVision Review: 5 Ways it can Improve Your Tennis. (2022, August 29). My Tennis Coaching. https://mytenniscoaching.com/2022/08/29/swingvision-review/
Thome, L. (2024, September 25). The role of AI in sports equipment recommendations. SportAI. https://sportai.com/news/the-role-of-ai-in-sports-equipment-recommendations
By choosing the Interdisciplinary Study Program at Plymouth State University I give myself the opportunity to create a major about the two topics I am most interested in: Business, Entrepreneurship and Sales in Athletics. I will name my program Athletic Sales and Entrepreneurship because I want to learn how to incorporate my coaching skills into a sustainable business of my own. I also intend to keep up with new developments in the sports and sales world.
I decided to create my major because my interests lie in several areas. Think of it as a smoothie. I didn’t want to take a major and minor where things are set in stone, but rather a blend of the courses that will best suit my personal career goals. I chose courses that are practical, hands-on, and directly address my goals as a learner and an athlete. I wanted the business courses to support my athletics work and introduce me to entrepreneurship opportunities. As a leader, I will need good communication, business sense, and marketing skills. I wanted to understand the nuts and bolts of running a business while staying connected to the athletic world.
The major I have designed includes courses from 10 different areas of study. However, in order to explain how the program will work to meet my goals, I have grouped the course by topic areas. The first three courses are the bookends of my program. The IP course Foundation of Interdisciplinary Studies has given me the time and guidance to put this independent major together. I further honed my plan with IP 2500 The Cluster Learning Springboard in the second half of this semester. In that course, I explored the way clusters of courses can inform each other. The other bookend IP course is the Senior Seminar IP 4500 which I am presently attending. This has helped me create my final project and brought all the different courses together.
The first section of courses included courses in Allied Health, Physical Education, Health, and Exercise and Sport Physiology and Health. These courses prepared me to get my certificate to be an entrepreneur. In the Allied Health courses AHS 2000 and 2001, I learned the basics of the health professions. I combined them with PE 2850 Wellness Choices for a Healthy, Active Lifestyle, I gained an overview of wellness, general health and fitness. The course selections contributed to my training and my future profession, guiding my personal health and those of my clients. This was also true of the Physical Activity and Health HE2400 Physical Activity and Health course. The health and activity guidelines and the fitness assessments prepared me both as an athlete and a coach. HE 3220 Applied Nutrition for Healthy Living was an obvious choice because it is the foundation of all good training. I’m not only interested in staying on top of my diet. HE 3110 Eating Disorders/Disordered Eating taught me the challenges athletes face when balancing sports performance with image and well-being.
First, I took the general prerequisite course for Exercise and Physiology courses, EX 2755 Intro To Exercise Science.This course gave me the foundation for taking more advanced courses in the field that prepared me to be a racquet coach and entrepreneur. CC 2540 Coaching Effectiveness helped me to understand how best to motivate and direct my athletes’ training, particularly the young athletes, and to supervise other coaches.
Next, I move to my math courses. BU 1152 Financial Accounting was necessary for anyone running a business. This course gave me the practical knowledge to know what I need in an accountant and helped me think about numbers.
MA 2300 Statistics I helped me read both research on exercise and market research and understand the implications and whether the research is sound. This informed my ability to think about what makes a study sound and how to read basic statistics in studies.
Next SAL 3280 Professional Selling I introduced the basic foundations of selling for any commercial or private company. It also strengthened my professional social abilities. SAL 3290 Professional Selling II gave me the confidence to practice and improve on the skills I already have. It also expanded my knowledge of sales philosophy and how to build yourself as a product.
Next, I want to explain the two entrepreneurship classes in my plan. The courses were part of a minor I intended to take, but I have included them here as part of my major because they are critical to starting a business. ENT 2460 Business Startup Planning and ENT 3030 Social Entrepreneurship helped me to understand some of the challenges to starting and maintaining a business, and how to develop and maintain a business that is solid and stable in its growth.
Finally, I took a course in SM 3350 Sports Facility & Event Management. This was a great course for me to take because it bettered my understanding of the facility that I already take care of and work for. I also host many events and tournaments at the resort, and it reinforced my skill and knowledge in this specific field.
To develop this plan of study, I consulted with several people. First was Dr. Christina Bradbury, Associate Professor of Finance here at Plymouth. She looked at my contract and immediately thought I should involve the Entrepreneurship courses while also preparing myself to get certified for fitness training. I chose the two classes she advised to set me on the path to understanding what it means to be an entrepreneur. I got a lot of advice from my expert advice advisor Dr. Matt Cheney. Luckily, he is in the IDS department, and he was very helpful at guiding me through the process of developing a balanced curriculum. I continued my relationship with Matt Cheney and got further guidance from the people in the Entrepreneurship minor on how to get a business plan and funding together. Finally, I talked to Dr. Julie Bernier, a professor of athletic training, who gave me the idea to include coaching so that I better understood the motivational and social aspects of training. She was inspiring because she gave me a whole new perspective on what I needed for this major and how I needed to change it.
One of the bigger reasons I want to go into this field of work is that I have so many friends and family who own their own businesses or work in the fitness world. I know that I will continue asking people in the field what the best practices are for running a sports-related business or managing a coaching program.
I plan on completing an IDS major called Athletic Sales and Entrepreneurship. This major includes business and entrepreneur courses to enable me to start and run a sports-related business effectively, and it has already impacted my present job positively. From accounting to marketing, I understood the financial side of success in sports-related businesses. My coaching class supported my exploration of positive athletic training. This interdisciplinary program touches on the areas that will enable me to continue in sports and training and be a successful businessman. The program has given me a wide range of business sales and athletics skills. Moreover, it has given me the confidence to head out as a graduate of Plymouth State, knowing I have the best personally tailored program supporting my future efforts.
Chauhan, Y. S., & Pal, U. S. (2022). Innovative evolution of technology used among racket sports: An overview. Journal of Sports Science and Nutrition, 3(2), 175–179. https://doi.org/10.33545/27077012.2022.v3.i2c.117
This article reviews the recent innovations in sports technology and their potential impact on racquet sports. It reviews the use of enhanced AI, 3D technology, and wearable smart tech. It describes Hawk-eye in tennis, which tracks the placement and speed of balls with great accuracy. It discusses IBM’s Momentum, which provides real-time data for matches and has the capacity to show data over matches. The discussion of racquet sports includes squash, table tennis, and tennis.
The article is valuable to me because it makes so many different points about AI and technological innovation relevant to the racquet world. As a racquet coach, this article is an invaluable overview of current technology. As a potential salesperson in the sports field, it gives me an overview of what I might consider selling and why.
Ghosh, I., Ramasamy Ramamurthy, S., Chakma, A., & Roy, N. (2023). Sports analytics review: Artificial intelligence applications, emerging technologies, and algorithmic perspective. WIREs Data Mining and Knowledge Discovery, 13(5). https://doi.org/10.1002/widm.1496
This article discusses the value of sports analytics, which collects data on players and matches to help players analyze their strengths and weaknesses. The article discusses sensor-based, computer-based, and wireless and mobile technology applications. In that way, it is similar to the article above. However, it also gets more in-depth into the types of learning possible using technology. It categorizes learning into 4 areas: statistical learning and analysis, depth learning, reinforcement learning and comparative discussion. The article discusses specific uses such as statistical analysis of plays, analyzing players’ reaction speed and footwork. Much of the article is too technical to follow when it goes into actual computer functions. The article also discusses the future of AI in sports.
The article is essential to me as a coach and in sales. It is very in-depth about technological advancements and discusses specifics about how to use technology as a coach. This article is very applicable to all sports, but really useful for racquet sports, helping players reflect and practice their skills with concrete feedback analyzed by the coach.
Osdemir, O., Odabas, H. I., & Turan, T. (2019). Impact of Racquet Evolution: How New Technologies Affected Tennis Players’ Statistics? Pamukkale Journal of Sport Sciences, 10(2), 1–15.
This article analyzes the performance of four different racquets using five volunteer players over time. The analysis considers the weight, head size and raw material for fifty years of production. The first reviews the difference between wood and composite raquets, the data on the speed of men’s serves from 1998 to 2012, and the number of aces from 1990 to 2015 in 4 different tournaments. The article then turns to the research group of five players using four different racquets, from wooden to the evolution of composite racquets, stopping with the 2017 Federer racquet. The study found a significant increase in player statistics dependent on the racquet. It showed a positive trend in player statistics from the oldest to the newest innovation in racquet technology.
This article provides the historical development and progression of racquet materials and different use cases for those materials. It demonstrates that newer racquet technology is progressive and supportive of performance in the sport. As a sales entrepreneur, it supports the sales of innovative racquets. It gives reasons for getting the newest racquet each year. The racquets both advance the level of player skill in the sport and make the sport more accessible to all players.
Thome, L. (2024, September 25). The role of AI in sports equipment recommendations. SportAI. https://sportai.com/news/the-role-of-ai-in-sports-equipment-recommendations
This article is posted on the SportsAI website, a company that provides a range of sports AI technology to individuals and organizations. The article discusses Sports AI’s capacity to translate a short video of an individual’s playing style and recommend the right gear for that player. Sports AI suggests that video should be part of their technology.
The company has many articles on its site related to the value and use of AI in coaching and sales. The whole website is beneficial to explore. This company has free applications, and it will be vital to be able to recommend this app to players. Organizations like the one I work for may want to purchase the more high-end AI so that coaches have a comprehensive technology are their fingertips for analyzing players on the court. As I am also going into sales, the gear analysis of Sports AI will help me convince players of the best (and most affordable) gear they might purchase.
Cossich, V. R. A., Carlgren, D., Holash, R. J., & Katz, L. (2023). Technological breakthroughs in sport: Current practice and future potential of artificial intelligence, virtual reality, augmented reality, and modern data visualization in performance analysis. Applied Sciences, 13(23), 12965. https://doi.org/10.3390/app132312965
In this article, researchers review the benefits of Artificial Intelligence (AI), Virtual Reality (VR), Augmented Reality (AR), and Data Visualization (DV) in sports training. AI creates a strong statistical analysis of data from real-time play, matches, and individual players. VR lets players practice their skills in realistic settings that challenge their level of skill. AR allows players to receive tips while playing and to help with tactical planning, even during a match. DV provides data visuals that enable a better understanding of the data collected. The article argues that the best way to use this technology is to use all four together.
This article gives an excellent, detailed overview of current technology. It is not very easy in the practical development of a sport to have a lot of time in actual competition. This allows coaches like me to relate training to how one should play or improve the game or competition. As a salesperson, the technology improves the more you buy into it. Selling all four as a package will appeal to trainers, elite, and/or high-level players. It won’t benefit the average player because it is probably too pricey, but wearable AI might be an affordable option.
Chauhan, Y. S., & Pal, U. S. (2022). Innovative evolution of technology used among racket sports: An overview. Journal of Sports Science and Nutrition, 3(2), 175–179. https://doi.org/10.33545/27077012.2022.v3.i2c.117
This article reviews the recent innovations in sports technology and their potential impact on racquet sports. The article reviews the use on enhance AI, 3D technology and wearable smart tech. It describes Hawk-eye in tennis which track placement and speed of balls with great accuracy. It discusses IBM’s Momentum Which provides real time data for matches and has the capacity show data over matches. The discussion of racquet sport s includes squash, table tennis and tennis.
The article is valuable to me because it has so many different points about AI and technological innovation relevant to the raquet world. As a racquets coach this article is an invaluable overview of current technology. As a potential sales person in the field of sports it gives me an overview of what I might consider selling and why.
Ghosh, I., Ramasamy Ramamurthy, S., Chakma, A., & Roy, N. (2023). Sports analytics review: Artificial intelligence applications, emerging technologies, and algorithmic perspective. WIREs Data Mining and Knowledge Discovery, 13(5). https://doi.org/10.1002/widm.1496
This article discusses the value of sports analytics which is the collection of data on players and matches that helps players analyze their strengths and weaknesses. The article discusses sensor based technology, Computer based applications and wireless and mobile applications of technology. In that way it is similar to the article above. However it also gets more in depth into the types of learning possible using technology and categorizes leaning in 4 areas: statistical learning and analysis, depth learning, reinforcement learning and comparative discussion. The article has more discussion of specific uses such as statistical analysis of plays, analyzing the reaction speed and foort work of players. Much of the article is too technical for me to follow when it goes into actual computer function. The article also discusses the future of AI in sports.
The article is important to me as a coach and in sales. It is very in depth about the technological advancements and discusses specifics about how to use the technology as a coach. This article is very applicable to all sports but really useful for racquet sports, helping players reflect and practice their skills with concrete feedback analyzed by the coach.
Osdemir, O., Odabas, H. I., & Turan, T. (2019). Impact of Racquet Evolution: How New Technologies Affected Tennis Players’ Statistics? Pamukkale Journal of Sport Sciences, 10(2), 1–15.
This article analyzes the performance of four different racquets using five volunteer players over time. The analysis considers the weight head size and raw material over a span of fifty years of production. The first reviews the difference between wood and composite request and the data on the speed of men’s serves from 1998 to 2012, and the number of aces from 1990 to 2015 in 4 different tournaments. The article then turns to the research group of five players using four different racquets from wooden to the evolution of composite racquets stopping with the 2017 Federer racquet. The study found a significant positive increase in player statistics dependent on the racquet and showed positive trend in player statistics from oldest to newest innovation in racquet technology.
This article provides the historical development and progression of racquet materials, and different use cases for those materials. It demonstrates that newer racquet technology is progressive and supportive to performance in the sport. As a sales entrepreneur, it supports sales of innovative racquets. It gives reasons for getting the newest racquet each year. The racquets both advance the level of player skill in the sport and make the sport more accessible to all players.
Thome, L. (2024, September 25). The role of AI in sports equipment recommendations. SportAI. https://sportai.com/news/the-role-of-ai-in-sports-equipment-recommendations
This article is posted on the SportsAI website, a company that provides a range of sports AI technology to individuals and organization. The article discusses Sports AI’s capacity to translate a short video of an individual’s playing style and recommend the right gear for that player. Sport AI is clearly suggesting that the video be part of their technology.
The company has a wide range of articles on its site related to the value and use of AI in coaching and sales. The whole website is beneficial to explore. This company has free applications and I believe it will be vital to be able to recommend this app to players. I also think that organizations like the one I work for may want to purchase the more high end AI so that coaches have a comprehensive technology are their fingertips for analyzing players on the court.As I am going into sales as well, the gear analysis of Sports AI will help me convince players of the best (and most affordable) gear they might purchase.
Cossich, V. R. A., Carlgren, D., Holash, R. J., & Katz, L. (2023). Technological breakthroughs in sport: Current practice and future potential of artificial intelligence, virtual reality, augmented reality, and modern data visualization in performance analysis. Applied Sciences, 13(23), 12965. https://doi.org/10.3390/app132312965
In this article researchers review the benefits of Artificial Intelligence (AI), Virtual Reality (VR), Augmented Reality (AR), and Data Visualization (DV) in sports training. AI creates a strong statistical analysis of data from real time play, matches, and individual players. VR lets players practice their skills in realistic settings that challenge their level of skill. AR allows players to receive tips while playing and to help with tactical planning even during a match. DV provides visuals of data that enable a better understanding of the data collected. The article argues that the ebay use of this technology is to use all four together.
This article gives a great detailed overview of current technology. It is not very easy in the practical development of a sport to have a lot of time in actual competition. This allows coaches like me to relate training exactly to how one should play or improve the game or competition. As a sale person, the technology improves the more you buy into it. Selling all four as a package will appeal to trainers, elite and/or high level players. It won’t benefit the average player because it is probably too pricey, but although wearable AI might be an affordable option.
((Work))
Abstract
We are currently witnessing an unprecedented era of digital transformation in sports, driven by the revolutions in Artificial Intelligence (AI), Virtual Reality (VR), Augmented Reality (AR), and Data Visualization (DV). These technologies hold the promise of redefining sports performance analysis, automating data collection, creating immersive training environments, and enhancing decision-making processes. Traditionally, performance analysis in sports relied on manual data collection, subjective observations, and standard statistical models. These methods, while effective, had limitations in terms of time and subjectivity. However, recent advances in technology have ushered in a new era of objective and real-time performance analysis. AI has revolutionized sports analysis by streamlining data collection, processing vast datasets, and automating information synthesis. VR introduces highly realistic training environments, allowing athletes to train and refine their skills in controlled settings. AR overlays digital information onto the real sports environment, providing real-time feedback and facilitating tactical planning. DV techniques convert complex data into visual representations, improving the understanding of performance metrics. In this paper, we explore the potential of these emerging technologies to transform sports performance analysis, offering valuable resources to coaches and athletes. We aim to enhance athletes’ performance, optimize training strategies, and inform decision-making processes. Additionally, we identify challenges and propose solutions for integrating these technologies into current sports analysis practices. This narrative review provides a comprehensive analysis of the historical context and evolution of performance analysis in sports science, highlighting current methods’ merits and limitations. It delves into the transformative potential of AI, VR, AR, and DV, offering insights into how these tools can be integrated into a theoretical model.
The interrelation of AI, VR, AR, and DV creates a comprehensive platform for sports performance analysis. AI serves as the backbone for data collection, advanced data analysis, enhanced video, and notational, time-motion, and wearable data analysis efficiency [2,25,61,94,98,105,106]. Powerful AI tools can be used for injury prediction and prevention, empowering analysts’ work by increasing processing speed, and offering predictive analytics and real-time feedback. VR and AR, on the other hand, provide immersive coaching and training experiences, as well as real-time data superimposition [32,33]. Used correctly, VR and AR can enhance skills and strategies, deliver tactical insights, facilitate data-driven decisions, and support rehabilitation and mental training. Lastly, DV techniques simplify data, leading to insights and tactical analysis. They enhance narrative power, which is crucial when translating data into information for real-time decisions and historical predictions.
While these technologies individually contribute to the realm of sports performance analysis, their true power emerges when they are used synergistically and integrated. In fact, AI, VR, AR, and DV naturally interplay and form an intrinsic integration, which can be translated into an explicit framework.
SportAI offers a free basic version and a paid tier called SportAI+ ($15/month or $65/season) which provides additional tools like top players by value, a salary optimizer, and an edge finder.
INTRO
The global AI in sports industry is projected to grow from 518.8 million in 2022 to 4.3 billion dollars by 2028 at a CAGR of 42.3% over the forecast period.
By 2030, the global impact of AI on is expected to reach $19.9 Billion.
Global sports analytics is expected to grow at a rate of 27.3 percent per year between 2021 and 3031.
The market is expected to grow from 2.45 billion U.S. Dollars in 2021 to almost 22 billion U.S. Dollars by 2030.
By 2026, it is estimated that 400 million sports-related wearable devices will be shipped.
Benefits of AIhttps://devtechnosys.com/insights/cost-of-ai-in-sports-industry/
EVOLUTION OF SPORT AI
GENERAL BENEFITS
DOWN SIDES?
SPECIFRIC REPORT ON SPORTS AI
Abstract
Technology plays a significant role in making modern life simple and effective. Technology has had a significant impact on sport science and many other facets of daily life. The market for the sports business has grown along with popularity, and so has the necessity for technological research. This chapter’s major goal was to examine the impact of new technology advancements on athletic performance, particularly in racket sports. It also emphasised various technological gadgets and focused on the function of certain racket sports. The authors of this chapter discovered several technological innovations that are being used in the world of games and sports. The authors all agreed that these technology advancements raise performance scores and simplify games. It should be necessary to make the right selection in order to develop performance.
Enhanced AI
In 2018, IBM injected a slew of fresh concepts into the Wimbledon bunker. Senior data operators have increased the quality of data acquisition by keeping an eye on every match throughout Wimbledon in addition to the show court events. IBM may access the day’s footage via the new IPTV system, instantly updating and examining statistics for any court.
On the six main Wimbledon show courts, the improved AI could even identify players’ moods! This improved the automated video highlights for viewers that were powered by AI. The most thrilling moments from Wimbledon were brought to life by other innovative audio technology, which allowed fans to see highlights in just 15 minutes.
3D technology
In the twenty-first century, 3D technology is making a difference. New software and hardware for 3D motion tracking are capable of astonishing feats, such analysing a player’s spine’s motion to predict whether they are going to have a back injury even before they experience any pain! Future technology was on show at the recent Tennis Tech Fair in Miami, where a dizzying assortment of improvements that are now being created. The QLIPP racquet sensor, which attaches to any racquet and measures shot type, spin, speed, and precision of ball contact, was also included. It may gauge how frequently a player strikes the “sweet spot” of the racquet.
Wearable Smart tech
The PIVOT, created by Turing Sense, is one example of new wearable Smart technology. It consists of many sensors attached to the player’s shoulders, wrists, elbows, hips, and knees to deliver immediate real-time feedback. A specialist can examine this to aid in enhancing the player’s swing and preventing injuries. The Babolat POP is worn on the racquet hand and is compatible with Android or Apple phones. It has a sensor that measures rally length, power, and spin. Wearable technology and smartphone apps are among the top tennis fitness trends, according to the American College of Sports Medicine, and they are not just for professionals but for players of all skill levels. We can only speculate as to how far tennis will be advanced in the future as technology advances at such a rapid rate. (Chauhan & Pal, 2022)
As a unique social phenomenon, sports have evolved into modern technology accessories. Technology is transforming sports because it has a big impact on how people live their daily lives and how their bodies look. Consequently, technology continues to alter how sports are played. Sports are played, how injuries are handled, what sports are played, and how it improves performance outcomes. Sporting technologies are tools created by humans to further interests or objectives in or pertaining to a certain sport. Athletes use this technical method to try and make their training and competition environments better in order to increase their overall athletic performance. It is the understanding and use of specialised tools and the newest technologies to complete jobs effectively. Sports technology must therefore be understood by coaches and athletes in order for them to make informed decisions regarding how it influences their performances. (Chauhan & Pal, 2022)
NOTE THIS ARTICLE RIGHT BELOW IS BETTER THAN THE SECOND ARTICLE BELOW WHICH FOCUSES ONLY ON THE ACTUAL RAQUET…
Sports analytics (SA) is the training, collecting and investigation of analytical data and employing state-of-the-art data mining techniques to predict and determine the players’ performance to determine their weaknesses and strengths in their game. Sports analytics has opened a vast spectrum of research problems and challenges, mainly covering real-time players’/team performance assessment Ghosh et al. (2022), 3D pose estimation Cai et al. (2019), game dynamics Ghosh et al. (2018), tactics, behavioral and psychological study of the players in the competitive environments Sheehan et al. (2022), etc. In Gerrard et al. (2014), the authors introduce and present an overall sports analytics framework which is comprised of four main components: analytic models, data management, information systems, and the decision maker. Data management includes procedures associated with verifying, acquiring and storing data. Analytic models include applying statistical and data mining techniques to acquired data. Information systems’ aim is to extract and present the data and model inference results effectively, and decision-makers aim is to extract relevant and insightful information from the data and present it to the coaches, players, etc.
https://devtechnosys.com/insights/cost-of-ai-in-sports-industry/