This book is a compilation of selected papers from the 14th International Symposium on Computer Science in Sport (IACSS 2023), held on September 27-30, 2023 in Hangzhou, China. The work focuses on the application of computer science and technology in the field of sports (such as intelligent data collection, data mining, visual analysis of game data, virtual reality, machine learning, computer vision, match prediction models and performance analysis). The contents make valuable contributions to academic researchers, college students, coaches and athletes, and sports management personnel (such as managers of sports associations, training bases, and professional clubs). Additionally, readers will encounter new ideas for realizing a more efficient and convenient training and exercise system.

This book is a compilation of selected papers from the 14th International Symposium on Computer Science in Sport (IACSS 2023), held on September 27-30, 2023 in Hangzhou, China. The work focuses on the application of computer science and technology in the field of sports (such as intelligent data collection, data mining, visual analysis of game data, virtual reality, machine learning, computer vision, match prediction models and performance analysis). The contents make valuable contributions to academic researchers, college students, coaches and athletes, and sports management personnel (such as managers of sports associations, training bases, and professional clubs). Additionally, readers will encounter new ideas for realizing a more efficient and convenient training and exercise system.

This book discovers the latest research and insights in sports performance analysis and computer science in sports with the 13th World Congress of Performance Analysis of Sport and 13th International Symposium on Computer Science in Sport joint conference proceedings. This comprehensive book features over 40 peer-reviewed scientific works, showcasing the latest developments in these areas. The book covers a wide range of topics, including data analytics in sports, performance tracking and monitoring, artificial intelligence and machine learning in sports, virtual and augmented reality in sports, sensor technology, sports biomechanics, and motor control. By reading this book, you'll gain a deeper understanding of how applied and research-based problems can, together, transform the world of sports, and how you can stay ahead of the curve in this rapidly evolving field. This means that whether you're a researcher, coach, athlete, or sports enthusiast, there is something for everyone in this book.

This is an authoritative introduction to Computing Education research written by over 50 leading researchers from academia and the industry.

For the last 25 years, a constraints-based framework has helped to inform the way that many sport scientists seek to understand performance, learning design and the development of expertise and talent in sport. The Constraints-Led Approach: Principles for Sports Coaching and Practice Design provides students and practitioners with the theoretical knowledge required to implement constraints-led approaches in their work. Seeking to bridge the divide between theory and practice, the book sets out an ‘environment design framework’, including practical tools and guidance for the application of the framework in coaching and skill acquisition settings. It includes chapters on constraints-led approaches in golf, athletics and hockey, and provides applied reading for undergraduate and postgraduate students of motor learning, skill acquisition and developing sport expertise. Providing a thorough grounding in the theory behind constraints-led approaches to skill acquisition, and a foundational cornerstone in the Routledge Studies in Constraints-Based Methodologies in Sport series, this is a vital pedagogical resource for students and practising sports coaches, physical education teachers and sport scientists alike.

Developing a successful game in today’s market is a challenging endeavor. Thousands of titles are published yearly, all competing for players’ time and attention. Game analytics has emerged in the past few years as one of the main resources for ensuring game quality, maximizing success, understanding player behavior and enhancing the quality of the player experience. It has led to a paradigm shift in the development and design strategies of digital games, bringing data-driven intelligence practices into the fray for informing decision making at operational, tactical and strategic levels. Game Analytics - Maximizing the Value of Player Data is the first book on the topic of game analytics; the process of discovering and communicating patterns in data towards evaluating and driving action, improving performance and solving problems in game development and game research. Written by over 50 international experts from industry and research, it covers a comprehensive range of topics across more than 30 chapters, providing an in-depth discussion of game analytics and its practical applications. Topics covered include monetization strategies, design of telemetry systems, analytics for iterative production, game data mining and big data in game development, spatial analytics, visualization and reporting of analysis, player behavior analysis, quantitative user testing and game user research. This state-of-the-art volume is an essential source of reference for game developers and researchers. Key takeaways include: Thorough introduction to game analytics; covering analytics applied to data on players, processes and performance throughout the game lifecycle. In-depth coverage and advice on setting up analytics systems and developing good practices for integrating analytics in game-development and -management. Contributions by leading researchers and experienced professionals from the industry, including Ubisoft, Sony, EA, Bioware, Square Enix, THQ, Volition, and PlayableGames. Interviews with experienced industry professionals on how they use analytics to create hit games.