<DIV align=justify> Why subscribe and read <UL> <LI>Current research in all fields of Computer Science in Sport. </LI> <LI>Forum for both established and young scholars. </LI> <LI>No particular theories or trends favored. </LI></UL> Why submit <UL> <LI>Fair and constructive double blind review. </LI> <LI>Fast and efficient publication process. </LI></UL> Rejection Rate >30% <A>Similarity Check Plagiarism Screening System</A> The editorial board is participating in a growing community of Similarity Check System's users in order to ensure that the content published is original and trustworthy. Similarity Check is a medium that allows for comprehensive manuscripts screening, aimed to eliminate plagiarism and provide a high standard and quality peer-review process. Detailed description of the Similarity Check System can be found at: <A href="https://www.crossref.org/services/similarity-check/">www.crossref.org/services/similarity-check/</A> </DIV>

International Journal of Computer Science in Sport

Sports coaches today have access to a growing amount of information that describes the performance of their players. Methods such as data mining have become increasingly useful tools to deal with the analytical demands of these high volumes of data. In this paper, we present a sports data mining approach using a combination of sequential association rule mining and clustering to extract useful information from a database of more than 400 high level beach volleyball games gathered at FIVB events in the years from 2013 to 2016 for both men and women. We regard each rally as a sequence of transactions including the tactical behaviours of the players. Use cases of our approach are shown by its application on the aggregated data for both genders and by analyzing the sequential patterns of a single player. Results indicate that sequential rule mining in conjunction with clustering can be a useful tool to reveal interesting patterns in beach volleyball performance data.

Abstract

Keywords

<article-title>Data Mining in Elite Beach Volleyball – Detecting Tactical Patterns Using Market Basket Analysis</article-title>

Data Mining in Elite Beach Volleyball – Detecting Tactical Patterns Using Market Basket Analysis

We conducted a virtual reality (VR) training with ten sessions, performed by fifteen young karate athletes, who responded to attacks of a virtual opponent to improve their response behavior and their decision-making. The control groups continued with their normal training. Results of the Friedman tests with subsequent Dunn-Bonferroni post-hoc-tests and estimation of effect sizes showed that the karate specific response behavior (measured by a movement analysis) improved significantly due to the training. The parameters time for response (as the time for the attack initiation) and response quality improved with large effect sizes for the intervention groups, whereas the control groups demonstrated improvements with only small effect sizes. The unspecific response behavior (analyzed by two forms of the reaction test of the Vienna test system) did not show any significant changes. Paired t-tests revealed an improvement in attack recognition. While in the pretests, the intervention groups responded to late movement stages of the attack (execution of the main phase), they responded to early movement stages (reduction of distance and preparing steps) in the posttests. Furthermore, Friedman-tests and bivariate correlation analysis showed that the intervention groups were highly motivated to perform the VR training because of the new and safe learning conditions.

Institute III: Sport Science, Department of Sports Engineering and Movement Science

Fraunhofer Institute for Factory Operation and Automation IFF

<article-title>Possibilities to Use a Virtual Opponent for Enhancements of Reactions and Perception of Young Karate Athletes</article-title>

Possibilities to Use a Virtual Opponent for Enhancements of Reactions and Perception of Young Karate Athletes

Even several years after total hip (THR) and total knee replacement (TKR) surgery patients frequently show deficient gait patterns leading to overloads and relieving postures on the contralateral side or in the spine. Gait training is, in these cases, an essential part of rehabilitation. The aim of this study was to compare different feedback methods during gait training after THR and TKR focusing, in particular, on auditory feedback via sonification. A total of 240 patients after THR and TKR were tested in a pre-post-test design during a 3-week rehabilitation period. Even though sonification did not show, statistically, a clear advantage over other feedback methods, it was well accepted by the patients and seemed to significantly change gait pattern during training. A sudden absence of sonification during training led to a rapid relapse into previous movement patterns, which highlights its effectiveness in breaking highly automated gait patterns. A frequent use of sonification during and after rehabilitation could, hence, reduce overloading after THR and TKR. This may soon be viable, since new technologies, such as inertial measurement units, allow for wearable joint angle measurement devices. Back to normal gait with sonification seems possible.

Institute of Biomechanics, Klinik Lindenplatz

Department of Sports & Health, Sports Science, Research Group of Psychology and Movement Science

<article-title>Gait Training in Orthopedic Rehabilitation after Joint Replacement - Back to Normal Gait with Sonification?</article-title>

Gait Training in Orthopedic Rehabilitation after Joint Replacement - Back to Normal Gait with Sonification?

Three inertial measurement unit (IMU) based tennis sensor systems from BABOLAT (PURE DRIVE PLAY, POP) and HEAD (Tennis Sensor) and a camera-based system (PlaySight) were tested with respect to the question whether the information about the number of strokes by swing type and spin type in training exercises and/or matches and the average as well as the maximum speed of the service per session are reliable. Subsequently, the question whether the mechanical properties of the BABOLAT PURE DRIVE PLAY racket are the same as the mechanical properties of the BABOLAT PURE DRIVE racket without IMU was addressed.

Steinbeis Research Center Sports Technology

Otto-von-Guericke University of Magdeburg

<article-title>Validation of Sensor-Based Game Analysis Tools in Tennis</article-title>

Validation of Sensor-Based Game Analysis Tools in Tennis

{"article-title":"Validation of Sensor-Based Game Analysis Tools in Tennis"}

Hypogravity treadmills have become a popular training tool in distance running and triathlon. Counter-intuitively, tibial acceleration load is not attenuated by hypogravity unloading during running, while, equally surprisingly, leaps become flatter instead of higher. To explain these effects from a biomechanical perspective, <xref ref-type="bibr" rid="j_ijcss-2019-0014_ref_027_w2aab3b7b4b1b6b1ab1ac27Aa">Polet, Schroeder, and Bertram (2017)</xref> recently developed an energetic model for hypogravity running and validated it with recreational athletes at a constant jogging speed. The present study was conducted to refine that model for competitive athletes at relevant running speeds of 12–22 km h−1 and gravity levels of 100 %, 80 % and 60 %. Based on new experimental data on 15 well-trained runners in treadmill tests until volitional exhaustion, the enhanced semi-empirical model well describes energy expenditure and the observed biomechanical effects of hypogravity running. Remarkably, anaerobic contributions led to an increase in energy cost per meter for speeds above 16–18 km h−1 (<italic>p</italic> &lt; 0.001), irrespective of hypogravity unloading. Moreover, some converging trends were observed that might reflect general adaptations in running motor control for optimization of efficiency. In essence, the outcome of this research might help sports scientists and practitioners to design running programs for specific training stimuli, e.g. conditioning of anaerobic energy metabolism.

Institute for Applied Training Science (IAT)

Magdeburg-Stendal University of Applied Sciences

Humboldt University / Charité – Universitätsmedizin

Department of Movement and Training Science

Department of Orthopaedics, Trauma and Hand Surgery

<article-title>Energy Cost of Running Under Hypogravity in Well-Trained Runners and Triathletes: A Biomechanical Perspective</article-title>

Energy Cost of Running Under Hypogravity in Well-Trained Runners and Triathletes: A Biomechanical Perspective

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Editor-in-Chief Baca Arnold, University of Vienna, Austria Editorial Advisory Board Dabnichki Peter, RMIT Melbourne, Australia Haggerty Terry R., University of New Brunswick, Canada Katz Larry, University of Calgary, Canada Lames Martin, Technical University of Munich, Germany Liebermann Dario G., Tel Aviv University, Israel Link Daniel, Technical University of Munich, Germany Lyons Keith, University of Canberra, Australia Morgan Stuart, Australian Institute of Sport, Australia de Mestre Neville, Australia Perl Jürgen, Germany Wiemeyer Josef, Technical University of Darmstadt, Germany Witte Kerstin, University of Magdeburg, Germany Technical Editors Bühler Callum, University of Vienna, Austria Contact <A href="mailto:arnold.baca@univie.ac.at">arnold.baca@univie.ac.at</A> Publisher De Gruyter Poland Bogumiła Zuga 32A Str. 01-811 Warsaw, Poland T: +48 22 701 50 15

Submit your manuscripts to the journal via email to <A href="mailto:arnold.baca@univie.ac.at">arnold.baca@univie.ac.at</A>. Open Access License This journal provides immediate open access to its content under the <A href="https://creativecommons.org/licenses/by-nc-nd/4.0/">Creative Commons Attribution-NonCommercial-NoDerivs 4.0 License</A>. Authors who publish with this journal agree to the terms of the above-mentioned CC BY-NC-ND 4.0 license

<DIV align=justify> The International Journal of Computer Science in Sport (IJCSS) is published in association with the International Association of Computer Science in Sport (IACSS). It is a refereed electronic journal that is published biannually. Research results with an emphasis on the following topics regarding the application of Computer Science and Mathematics in supporting the development of theory and practice in sport are considered: <UL> <LI>Modeling (mathematical, informatics, biomechanical, physiological) </LI> <LI>Computer aided applications (software, hardware) </LI> <LI>Data acquisition and processing </LI> <LI>Data Bases </LI> <LI>Simulation (interactive, animation etc.) </LI> <LI>Development of theories </LI> <LI>Multimedia / Internet </LI> <LI>Presentation </LI> <LI>Education </LI></UL> The journal does not only serve as a forum for current research from around the world in the field of computer technology in sport. Moreover, there is place to present theories, methods and concepts, which are developed in Computer Science and Mathematics, and applied to Sport Science. Articles submitted to the IJCSS are reviewed by at least two anonymous referees. The reviewing process usually takes about a month. The authors are obliged to take the reviewers comments into account when preparing the final version of their article. </DIV>

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Volume 18 (2019): Issue 2 (September 2019) Special Issue: Selected papers presented at the 12th Symposium of the Section Computer Science in Sport of the German Association of Sport Science (September 4.-7., 2018)

Volume 18 (2019): Issue 2 (September 2019)

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International Journal of Computer Science in Sport

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Volume 18 (2019): Issue 2 (September 2019)
Special Issue: Selected papers presented at the 12th Symposium of the Section Computer Science in Sport of the German Association of Sport Science (September 4.-7., 2018)

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International Journal of Computer Science in Sport

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Volume 18 (2019): Issue 2 (September 2019)Special Issue: Selected papers presented at the 12th Symposium of the Section Computer Science in Sport of the German Association of Sport Science (September 4.-7., 2018)

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Volume 18 (2019): Issue 2 (September 2019)
Special Issue: Selected papers presented at the 12th Symposium of the Section Computer Science in Sport of the German Association of Sport Science (September 4.-7., 2018)