Research Portfolio
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.
https://www.allsportsjournal.com/article/117/3-2-36-210.pdf
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.
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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.
SPORT AI
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 AI
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.
Technology for Racquet Sports
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