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Eye tracking in high-performance sports: Evaluation of its application in expert athletes

References Abernethy, B. (1987). Review: Selective attention in fast ball sports: Expert-novice differences. The Australian Journal of Science and Medicine in Sport, 19 , 7-16. Abernethy, B. (1990). Expertise, visual search, and information pick-up in squash. Perception, 19 , 63-77. Abernethy, B. (2001). Attention. In R. N. Singer, H. A. Hausenblas, & C. M. Janelle (Eds.), Handbook of sport psychology (2nd ed., pp. 53-85). New York: Wiley & Sons. Adolphe, R. M., Vickers, J. N., & Laplante, G. (1997). The effects of training visual

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

References Baca, A. (2015). Computer Science in Sport: Research and Practice . London and New York: Routledge. Karpathy, A., Toderici, G., Shetty, S., Leung, T., Sukthankar, R., & Fei-Fei, L. (2014) Large-scale Video Classification with Convolutional Neural Networks . In Proceedings of International Computer Vision and Pattern Recognition (CVPR 2014). Memmert, D., & Perl, J. (2009). Game creativity analysis using neural networks. Journal of Sports Sciences, 27 (2), 139-149. Silva, A. J., Costa, A. M., Oliveira, P. M., Reis, V. M

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Probabilistic models comparing Fast4 and traditional tennis

References Arias, J. L., Argudo, F. M., & Alonso, J. I. (2011). Review of Rule Modification in Sport. Journal of Sports Science & Medicine , 10 (1), 1–8. Baodong, Y. (2014). Hawkeye technology using tennis match. Computer Modelling and New Technologies, 18 (12C), 400-402. Brabenec, J. (1996). If a player knows how, then when is the important question. ITF Coaching and Sport Science Review , 10 , 7-8. Brody, H. (1996). The modern tennis racket. The Engineering of Sport , 79-82. Carter, W.H., & Crews, S.L. (1974). An analysis of

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Decision Support System for Mitigating Athletic Injuries

.), Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence , (139-147). San Francisco, CA: Morgan Kaufmann Publishers, Inc. Fuster-Parra, P., Garcia-Mas, A., Ponseti, F., Palou, P., & Cruz, J. (2014). A bayesian network to discover relationships between negative features in sport: A case study of teen players. Quality & Quantity 48, 1473-1491. Gabbett, T. (2010). The development and application of an injury prediction model for noncontact, soft-tissue injuries in elite collision sport athletes. Journal of Strength and Conditioning

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The Relationship between Motivation of Social Viewing Experiences, Satisfaction, and Loyalty in Sports Broadcasting

on the use and gratification theory. Journal of Cybercommunication Academic Society, 28 (1), 165-201. Han, K. S., & Ahn, Y. K. (2010). An exploration on the identity of Korean sport broadcast commentator. Journal of Korean Philosophic Society for Sport and Dance, 18 (3), 185-201. Han, S. (2013). A study on the factors affected the using intention of smart phone. Korean Corporation Management Review, 20 (3), 107-122. Harboe, G., Massey, N., Metcalf, C., Wheatley, D., & Romano, G. (2008). The uses of social television. Computers in Entertainment

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

-125. Bialkowski, A., Lucey, P., Carr, P., Yue, Y., Sridharan, S., & Matthews, I. (2014). Large-Scale Analysis of Soccer Matches Using Spatiotemporal Tracking Data. In 2014 IEEE International Conference on Data Mining , (pp. 725-730). IEEE. Borrie, A., Jonsson, G. K., & Magnusson, M. S. (2002). Temporal pattern analysis and its applicability in sport: An explanation and exemplar data. Journal of Sports Sciences, 10 . Brauckhoff, D., Dimitropoulos, X., Wagner, A., & Salamatian, K. (2012). Anomaly extraction in backbone networks using association rules. IEEE

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

, C. (2013). Understanding perception and action in sport: how can virtual reality technology help? Sports Technology , 6 (4), 161-169. DOI: 10.1080/19346182.2013.855224 Donath, L., Rössler, R. & Faude, O. (2016). Effects of Virtual Reality training (exergaming) compared to alternative exercise training and passive control on standing balance and functional mobility in health community-dwelling seniors: A meta-analytical review. Sports Medicine , 46 (9): 1293-309. DOI: 10.1007/s40279-016-0485-1. Farrow, D. & Raab, M. (2018). A recipe to become an

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

Feedbacktraining vs. Training in virtueller Umgebung - Wiederherstellung des normalen Ganges nach Hüft- und Knie-TEP [Visual feedback training vs. training in virtual environment - restoration of normal gait after THR and TKR]. In T. Könecke & Preuß, H. & Schöllhorn, W. I. (Eds.), Moving Minds - Crossing Boundaries in Sport Science.. Hamburg: Feldhaus. Pietschmann, J., & Jöllenbeck, T. (2015b). Feedbacktraining vs. Training in virtueller Umgebung - neueste Erkenntnisse zur Wiederherstellung des normalen Gangs nach Knie-TEP [Feedback training vs. training in virtual

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

-gravity treadmill(R). J Sports Sci Med, 14 (2), 333-339. Mercer, J. A., & Chona, C. (2015). Stride length–velocity relationship during running with body weight support. Journal of Sport and Health Science, 4 (4), 391-395. doi:10.1016/j.jshs.2015.01.003 Minetti, A. E., Moia, C., Roi, G. S., Susta, D., & Ferretti, G. (2002). Energy cost of walking and running at extreme uphill and downhill slopes. J Appl Physiol (1985), 93 (3), 1039-1046. doi:10.1152/japplphysiol.01177.2001 Moran, M. F., Rickert, B. J., & Greer, B. K. (2017). Tibial Acceleration and

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