Computer Science In Sport Research Articles

Erratum to: Energy Cost of Running Under Hypogravity in Well-Trained Runners and Triathletes: A Biomechanical Perspective – International Journal of Computer Science in Sport 18(2), Pages 60–80 (2019)

Erratum to: Energy Cost of Running Under Hypogravity in Well-Trained Runners and Triathletes: A Biomechanical Perspective – International Journal of Computer Science in Sport 18(2), Pages 60–80 (2019)

Special Issue on ‘Computer Science in Sport’

Computer Science in Sport is a cross-disciplinary topic that brings together the problem-solving capabilities of Computer Science to various theoretical and practical aspects of all sports and physical activities [...]

Computer Science in Sport – Research and Practice: A book review

Abstract Sports informatics and computer science in sport are perhaps the most exciting and fast-moving disciplines across all of sports science. The tremendous parallel growth in digital technology, non-invasive sensor devices, computer vision and machine learning have empowered sports analytics in ways perhaps never seen before. This growth provides great challenges for new entrants and seasoned veterans of sports analytics alike. Keeping pace with new technological innovations requires a thorough and systematic understanding of many diverse topics from computer programming, to database design, machine learning algorithms and sensor technology. Nevertheless, as quickly as the state of the art technology changes, the foundation skills and knowledge about computer science in sport are lasting. Furthermore, resources for students and practitioners across this range of areas are scarce, and the new-release textbook Computer Science in Sport: Research and Practice edited by Professor Arnold Baca, provides much of the foundation knowledge required for working in sports informatics. This is certainly a comprehensive text that will be a valuable resource for many readers.

Computer science and biomechanics in sports - interdisciplinary aspects in research and education.

First applications of computers in sport science were reported in the middle of the sixties. In particular, computative numerical evaluations of biomechanical investigations and statistical analyses were performed with the mainframe computers available at that time. The facilities provided by computer and video technique have long been utilized when setting up measuring systems for collecting data to analyse sports movements biomechanically. The development of opto-electronic systems for obtaining kinematic data may serve as an example. Biomechanics has, however, not only made use of (technical) tools provided by informatics. Concepts and methods have also widely been applied and even further developed. Modelling, which is one of the central topics of computer science in sports, has a long tradition in biomechanics. Currently an increasing use of alternative modelling techniques like neural networks, fuzzy logic or genetic algorithms for modelling complex physical and biological processes can be observed.Manifold examples can be given, which demonstrate that not only does computer science give valuable support to biomechanics but also computer science benefits from biomechanics. (1) One of the critical issues of computer animation is the generation of human motions that appear natural and realistic. Biomechanical simulations based on human body models may be used to create motion data fulfilling this condition. (2) The dynamics of multibody mechanical systems (such as the segmented human body) can be described by a differential-algebraic equation, which is difficult to solve. If elastic components are involved, the task becomes even more difficult. Problems of that kind give (and have given) impetus to numerical computing to develop efficient integration algorithms used in the simulation. (3) The use of multimedia in aspects related to sport is currently a widely discussed topic in sports science. Computer interactive learning and teaching programs used for education in sports biomechanics provide excelent means for demonstrating the potential of multimedia.Multimedia is just one field applicable for teaching biomechanics and computer science in sports interdisciplinary. Data acquisition, data bases, modelling and simulation are others.Selective examples from the author´s own work in this interdisciplinary area will be presented. Some thoughts on the future perspectives of this fruitful cooperation will conclude the lecture.