Special Issue "Application of Artificial Intelligence in Sports"
Deadline for manuscript submissions: 15 July 2019
Artificial Intelligence (AI) commonly refers to the ability of computers or, more generally, of machines to perform tasks by imitating human intelligence. In order to do so, machines need to be able to learn, which may be accomplished by Machine Learning methods. Knowledge may thereby be generated from experience. In recent years, the integration of machine-aided intelligence into the design and implementation of innovative systems on the basis of state-of-the-art information and communication technologies has also become increasingly important for sports-related issues, often involving large date sets. There are a number of areas that AI now has an important role in and that makes use of Machine Learning methods. Fields of application include, among others, the analysis of sports performance, the assessment of injury risks, the provision of individual recommendations to athletes, the analysis of tactics in game sports, the prediction of performance development and competition outcomes, interactive communication with fans via chatbots, or the implementation of automated sports journalism. Modern sport information systems making use of wearables, GPS-devices, high-resolution cameras, and various sensors, for example, enable a prompt and automatic evaluation of sport-specific parameter values, thereby allowing the establishment of computer-based feedback and intervention routines. Local position measurement systems, as another example, are able to track players in game sports in almost real time and provide insights into physical loads and in tactical behavior, such as player creativity. The purpose of this Special Issue is to highlight the potential of the application of Artificial Intelligence in sports-related areas. Original papers may focus on various application scenarios, such as sports performance analysis, training and coaching, talent diagnosis, team composition, injury and fatigue prevention, intelligent sports equipment, computer vision in sports, sports data mining, sports journalism, marketing and sports betting.
Prof. Dr. Arnold Baca
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
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