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Activity recognition in beach volleyball using a Deep Convolutional Neural Network - Leveraging the potential of Deep Learning in sports.

, , , , , and . Data Min. Knowl. Discov., 31 (6): 1678-1705 (2017)

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Activity recognition in beach volleyball using a Deep Convolutional Neural Network - Leveraging the potential of Deep Learning in sports., , , , , and . Data Min. Knowl. Discov., 31 (6): 1678-1705 (2017)Estimation of the Knee Flexion-Extension Angle During Dynamic Sport Motions Using Body-worn Inertial Sensors., , , , , , , and . BODYNETS, page 289-295. ICST, (2013)Software-based performance and complexity analysis for the design of embedded classification systems., , , and . ICPR, page 2266-2269. IEEE Computer Society, (2012)Comparison of Multi-service Routing Strategies for IP Core Networks., and . ASMTA, volume 5513 of Lecture Notes in Computer Science, page 1-15. Springer, (2009)Eingebettete Klassifikation der Ermüdung von Laufsportlern., , , and . GI Jahrestagung (1), volume P-175 of LNI, page 39-44. GI, (2010)Feedback-Training mit tragbaren Sensor-Netzwerken., , , and . GI Jahrestagung (1), volume P-175 of LNI, page 3-8. GI, (2010)Sensor-Based Mobile Functional Movement Screening., , , and . MobiHealth, volume 61 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 215-223. Springer, (2012)Classification of kinematic swimming data with emphasis on resource consumption., , and . BSN, page 1-5. IEEE, (2013)Classification of kinematic golf putt data with emphasis on feature selection., , and . ICPR, page 1735-1738. IEEE Computer Society, (2012)Approaching the accuracy-cost conflict in embedded classification system design., , , and . Pattern Anal. Appl., 19 (3): 839-855 (2016)