Special Issue "Application of Artificial Intelligence in Sports"

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Artificial Intelligence".

Deadline for manuscript submissions: 15 July 2019

Special Issue Editor

Guest Editor
Prof. Dr. Arnold Baca

Department of Sport Science, University of Vienna, Vienna, Austria
Website | E-Mail
Phone: 00431427748882
Interests: computer science in sport; biomechanics

Special Issue Information

Dear Colleagues,

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
Guest Editor

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.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers

This special issue is now open for submission.
Information EISSN 2078-2489 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
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