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Image Processing in Sport.- IT System for Sport.- AI in Sport.- Modelling and Analysis.- Virtual Reality.-<div>Sensing Technology.- Neural Cognitive Training.<br></div>

<p>This book presents the main scientific results of the 10th International Symposium of Computer Science in Sport (IACSS/ISCSS 2015), sponsored by the International Association of Computer Science in Sport in collaboration with the International Society of Sport Psychology (ISSP), which took place between September 9-11, 2015 at Loughborough, UK. This proceedings aims to build a link between computer science and sport, and reports on results from applying computer science techniques to address a wide number of problems in sport and exercise sciences. It provides a good platform and opportunity for researchers in both computer science and sport to understand and discuss ideas and promote cross-disciplinary research. The strictly reviewed and carefully revised papers cover the following topics: Modelling and Analysis, Artificial Intelligence in Sport, Virtual Reality in Sport,  Neural Cognitive Training,  IT Systems for Sport, Sensing Technologies and Image Processing.</p><p></p><p></p>

Presents new insights discovered by the effective integration of sports with computing tools for data acquisition and analysis, modelling and simulation, decision support, machine learning and data mining, virtual reality and visualisation Presents the results of the biannual International Symposium of Computer Science in Sports (ISCSS) which is a unique forum for dissemination of the latest fast growing developments in these areas, leading to potential high impact in sport sciences and computer science applications Displays the evolution of sports towards better and holistic understanding of biomechanics, exercise physiology, performance development, training techniques, psychology, pedagogy, motor control and learning by progressively highlighting the essential contribution of analytical and decision support techniques from computer science research Includes supplementary material: sn.pub/extras