Explore the vast range of titles available.

To understand the dynamic patterns of behaviours and interactions between athletes that characterize successful performance in different sports is an important challenge for all sport practitioners. This book guides the reader in understanding how an ecological dynamics framework for use of artificial intelligence (AI) can be implemented to interpret sport performance and the design of practice contexts. By examining how AI methodologies are utilized in team games, such as football, as well as in individual sports, such as golf and climbing, this book provides a better understanding of the kinematic and physiological indicators that might better capture athletic performance by looking at the current state-of-the-art AI approaches. Artificial Intelligence in Sport Performance Analysis provides an all-encompassing perspective in an innovative approach that signals practical applications for both academics and practitioners in the fields of coaching, sports analysis, and sport science, as well as related subjects such as engineering, computer and data science, and statistics.

Sport performance analysis techniques help coaches, athletes and sport scientists develop an objective understanding of actual sport performance, as opposed to self-report, fitness tests or laboratory based experiments. For example, contemporary performance analysis enables elite sports people and coaches to obtain live feedback of match statistics and video sequences using flexible internet systems, systems that have become an indispensible tool for all those involved in high performance sport. The Routledge Handbook of Sports Performance Analysis is the most comprehensive guide to this exciting and dynamic branch of sport science ever to be published. The book explores performance analysis across the four main contexts in which it is commonly used: support for coaches and athletes; the media; judging sport contests, and academic research. It offers an up-to-date account of methodological advances in PA research, assesses the evidence underpinning contemporary theories of sport performance, and reviews developments in applied PA across a wide range of sports, from soccer to track and field athletics. Covering every important aspect of PA, including tactics, strategy, mechanical aspects of technique, physical aspects of performance such as work-rate, coach behaviour and referee behaviour, this is an essential reference for any serious student, researcher or practitioner working in sport performance analysis, sport coaching or high performance sport.

The global health and fitness industry is worth an estimated $4 trillion. We spend $90 billion each year on health club memberships and $100 billion each year on dietary supplements. In such an industrial climate, lax regulations on the products we are sold (supplements, fad-diets, training programs, gadgets, and garments) result in marketing campaigns underpinned by strong claims and weak evidence. Moreover, our critical faculties are ill-suited to a culture characterized by fake news, social media, misinformation, and bad science. We have become walking, talking prey to 21st-century Snake Oil salesmen. In The Skeptic's Guide to Sports Science, Nicholas B. Tiller confronts the claims behind the products and the evidence behind the claims. The author discusses what might be wrong with the sales pitch, the glossy magazine advert, and the celebrity endorsements that our heuristically wired brains find so innately attractive. Tiller also explores the appeal of the one quick fix, the fallacious arguments that are a mainstay of product advertising, and the critical steps we must take in retraining our minds to navigate the pitfalls of the modern consumerist culture. This informative and accessible volume pulls no punches in scrutinizing the plausibility of, and evidence for, the most popular sports products and practices on the market. Readers are encouraged to confront their conceptualizations of the industry and, by the book's end, they will have acquired the skills necessary to independently judge the effectiveness of sports-related products. This treatise on the commercialization of science in sport and exercise is a must-read for exercisers, athletes, students, and practitioners who hope to retain their intellectual integrity in a lucrative health and fitness industry that is spiraling out of control.

How can we predict the trajectory of a baseball from bat to outfield? How do the dimples in a golf ball influence its flight from tee to pin? What forces determine the path of a soccer ball steered over a defensive wall by an elite player? An understanding of the physical processes involved in throwing, hitting, firing and releasing sporting projectiles is essential for a full understanding of the science that underpins sport. This is the first book to comprehensively examine those processes and to explain the factors governing the trajectories of sporting projectiles once they are set in motion. From a serve in tennis to the flight of a ’human projectile’ over a high jump bar, this book explains the universal physical and mathematical principles governing movement in sport, and then shows how those principles are applied in specific sporting contexts. Divided into two sections, addressing theory and application respectively, the book explores key concepts such as: friction, spin, drag, impact and bounce computer and mathematical modelling variable sensitivity the design of sports equipment materials science. Richly illustrated throughout, and containing a wealth of research data as well as worked equations and examples, this book is essential reading for all serious students of sports biomechanics, sports engineering, sports technology, sports equipment design and sports performance analysis. Colin White began his career as a software engineer, working on various military modelling projects. In 1986, he joined the Department of Physics at the University of Portsmouth as Senior Lecturer before transferring, in 2000, to the Department of Sport and Physical Exercise Science where he taught sports technology and modelling. Section 1: The Theory 1. Sports Projectile Modeling – Why, How and….So What! 2. Launching Projectiles into Motion 3. Motion of Projectiles under the Influence of Gravity 4. Impact and Bounce 5. Drag and Lift 6. The Effects of Spin Section 2: Practical Applications 7. Shot Put and Hammer 8. Discus 9. Javelin 10. Golf 11. Tennis and Squash 12. Cricket and Baseball 13. Football 14. Rugby and American Football 15. Some Assorted Sporting Projectiles. Appendices

This book analyses the Tour de France over its long history both as France's most prestigious and famous sporting event and as a European and, increasingly, a world cycling competition. This study provides interdisciplinary and varied perspectives on the sporting, cultural, social, economic and political significance of the Tour within and outside France, giving a comprehensive and authoritative investigation of up-to-the minute thinking on what the Tour means, now and in the past, to competitors, to France, to the French public, to the cultural history of sport, and the sport of cycling itself.

ObjectiveThe purpose of this study was to define a new index the Robust Exponential Decreasing Index (REDI), which is capable of an improved analysis of the cumulative workload. This allows for precise control of the decreasing influence of load over time. Additionally, REDI is robust to missing data that are frequently present in sport.Methods200 cumulative workloads were simulated in two ways (Gaussian and uniform distributions) to test the robustness and flexibility of the REDI, as compared with classical methods (acute:chronic workload ratio and exponentially weighted moving average). Theoretical properties have been highlighted especially around the decreasing parameter.ResultsThe REDI allows practitioners to consistently monitor load with missing data as it remains consistent even when a significant portion of the dataset is absent. Adjusting the decreasing parameter allows practitioners to choose the weight given to each daily workload.DiscussionComputation of cumulative workload is not easy due to many factors (weekends, international training sessions, national selections and injuries). Several practical and theoretical drawbacks of the existing indices are discussed in the paper, especially in the context of missing data; the REDI aims to settle some of them. The decreasing parameter may be modified according to the studied sport. Further research should focus on methodology around setting this parameter.ConclusionThe robust and adaptable nature of the REDI is a credible alternative for computing a cumulative workload with decreasing weight over time.

Artificial Intelligence (AI) is transforming the field of sports science by providing unprecedented insights and tools that enhance training, performance, and health management. This work examines how AI is advancing the role of sports scientists, particularly in team sports environments, by improving training load management, sports performance, and player well-being. It explores key dimensions such as load optimization, injury prevention and return-to-play, sports performance, talent identification and scouting, off-training behavior, sleep quality, and menstrual cycle management. Practical examples illustrate how AI applications have significantly advanced each area and how they support and enhance the effectiveness of sports scientists. This manuscript also underscores the importance of ensuring that AI technologies are context-specific and communicated transparently. Additionally, it calls for academic institutions to update their curriculums with AI-focused education, preparing future sports professionals to fully harness its potential. Finally, the manuscript addresses future challenges, such as the unpredictable nature of team sports, emphasizing the need for interdisciplinary collaboration, including clear communication and mutual understanding between sports scientists and AI experts, and the critical balance between AI-driven insights and human expertise.

A quantitative evaluation of kinetic parameters, the joint’s range of motion, heart rate, and breathing rate, can be employed in sports performance tracking and rehabilitation monitoring following injuries or surgical operations. However, many of the current detection systems are expensive and designed for clinical use, requiring the presence of a physician and medical staff to assist users in the device’s positioning and measurements. The goal of wearable sensors is to overcome the limitations of current devices, enabling the acquisition of a user’s vital signs directly from the body in an accurate and non–invasive way. In sports activities, wearable sensors allow athletes to monitor performance and body movements objectively, going beyond the coach’s subjective evaluation limits. The main goal of this review paper is to provide a comprehensive overview of wearable technologies and sensing systems to detect and monitor the physiological parameters of patients during post–operative rehabilitation and athletes’ training, and to present evidence that supports the efficacy of this technology for healthcare applications. First, a classification of the human physiological parameters acquired from the human body by sensors attached to sensitive skin locations or worn as a part of garments is introduced, carrying important feedback on the user’s health status. Then, a detailed description of the electromechanical transduction mechanisms allows a comparison of the technologies used in wearable applications to monitor sports and rehabilitation activities. This paves the way for an analysis of wearable technologies, providing a comprehensive comparison of the current state of the art of available sensors and systems. Comparative and statistical analyses are provided to point out useful insights for defining the best technologies and solutions for monitoring body movements. Lastly, the presented review is compared with similar ones reported in the literature to highlight its strengths and novelties.

Motion capture technology plays a crucial role in optimizing athletes’ skills, techniques, and strategies by providing detailed feedback on motion data. This article presents a comprehensive survey aimed at guiding researchers in selecting the most suitable motion capture technology for sports science investigations. By comparing and analyzing the characters and applications of different motion capture technologies in sports scenarios, it is observed that cinematography motion capture technology remains the gold standard in biomechanical analysis and continues to dominate sports research applications. Wearable sensor-based motion capture technology has gained significant traction in specialized areas such as winter sports, owing to its reliable system performance. Computer vision-based motion capture technology has made significant advancements in recognition accuracy and system reliability, enabling its application in various sports scenarios, from single-person technique analysis to multi-person tactical analysis. Moreover, the emerging field of multimodal motion capture technology, which harmonizes data from various sources with the integration of artificial intelligence, has proven to be a robust research method for complex scenarios. A comprehensive review of the literature from the past 10 years underscores the increasing significance of motion capture technology in sports, with a notable shift from laboratory research to practical training applications on sports fields. Future developments in this field should prioritize research and technological advancements that cater to practical sports scenarios, addressing challenges such as occlusion, outdoor capture, and real-time feedback.

Head acceleration measurement sensors are now widely deployed in the field to monitor head kinematic exposure in contact sports. The wealth of impact kinematics data provides valuable, yet challenging, opportunities to study the biomechanical basis of mild traumatic brain injury (mTBI) and subconcussive kinematic exposure. Head impact kinematics are translated into brain mechanical responses through physics-based computational simulations using validated brain models to study the mechanisms of injury. First, this article reviews representative legacy and contemporary brain biomechanical models primarily used for blunt impact simulation. Then, it summarizes perspectives regarding the development and validation of these models, and discusses how simulation results can be interpreted to facilitate injury risk assessment and head acceleration exposure monitoring in the context of contact sports. Recommendations and consensus statements are presented on the use of validated brain models in conjunction with kinematic sensor data to understand the biomechanics of mTBI and subconcussion. Mainly, there is general consensus that validated brain models have strong potential to improve injury prediction and interpretation of subconcussive kinematic exposure over global head kinematics alone. Nevertheless, a major roadblock to this capability is the lack of sufficient data encompassing different sports, sex, age and other factors. The authors recommend further integration of sensor data and simulations with modern data science techniques to generate large datasets of exposures and predicted brain responses along with associated clinical findings. These efforts are anticipated to help better understand the biomechanical basis of mTBI and improve the effectiveness in monitoring kinematic exposure in contact sports for risk and injury mitigation purposes.