Abstract
This paper presents a sport training system which recognizes user movements from data of the Wiimote device with accelerometer technology. Recognizing a new gesture involves the normalization of the Wiimote data and searching in a gesture templates database. The Dynamic Time Warping (DTW) comparison algorithm is used as a correlation function to compare the new gesture with every template. Based on prior training, the system can successfully recognize different sport shots. Particularly the system is instantiated for tennis training. The user visualizes the trajectory of the ball in a three-dimensional environment and he can interact with virtual objects that follow Newton dynamics.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Bowman, D.A., Kruijff, E., LaViola, J.J., Poupyrev, I.: 3D User Interfaces: Theory and Practice. Addison Wesley Longman Publishing Co., Inc., Redwood City (2004)
Perrin, S., Cassinelli, A., Ishikawa, M.: Gesture recognition using laser-based tracking system. In: FGR, pp. 541–546 (2004)
Turk, M.: Gesture recognition. Handbook of Virtual Environments, pp. 223–238 (2001)
Vafadar, M., Behrad, A.: Human Hand Gesture Recognition Using Motion Orientation Histogram for Interaction of Handicapped Persons with Computer. In: Elmoataz, A., Lezoray, O., Nouboud, F., Mammass, D. (eds.) ICISP 2008. LNCS, vol. 5099, pp. 378–385. Springer, Heidelberg (2008)
Caridakis, G., Karpouzis, K., Pateritsas, C., Drosopoulos, A., Stafylopatis, A., Kollias, S.: Hand trajectory-based gesture recognition using self-organizing feature maps and markov models. In: 2008 IEEE International Conference on Multimedia & Expo., ICME (2008)
Ruffaldi, E., Filippeschi, A., Avizzano, C.A., Bardy, B., Gopher, D., Bergamasco, M.: Feedback, Affordances and Accelerators for Training Sports in Virtual Environments. Presence, Teleoperations and virtual environments 20(1), 33–46 (2011)
Müller, H., Schumacher, B., Blischke, K., Daugs, R.: Optimierung sportmotorischen Technik-Trainings durch computergestutzte Videosysteme. In: Perl, J. (ed.) Sport und Informatik, pp. 37–47. Hofmann, Schorndorf (1990)
Schorer, J.: Eine Studie zur Identifikation, den Mechanismen und Entwicklung senso-motorischer Expertise. Dissertation. Universität Heidelberg (2006)
Savelsbergh, G.J.P., Williams, A.M., Van der Kamp, J., Ward, P.: Visual search, anticipation and expertise in soccer goalkeepers. Journal of Sports Sciences 20, 279–287 (2002)
Liu, X., Sun, J., He, Y., Liu, Y., Cao, L.: Overview of Virtual Reality Apply to Sports. JCIT: Journal of Convergence Information Technology 6(12), 1–7 (2011)
Bideau, B., Kulpa, R., Vignais, N., Brault, S., Multon, F., Craig, C.: Using Virtual Reality to Analyze Sports Performance. IEEE Computer Graphics and Applications 30(2), 14–21 (2010)
Ruffaldi, E., Filippeschi, A., Avizzano, C.A., Bardy, B., Gopher, D., Bergamasco, M.: Feedback, Affordances and Accelerators for Training Sports in Virtual Environments. Presence, Teleoperations and virtual environments 20(1), 33–46 (2011)
Christian, J., Krieger, H., Holzinger, A., Behringer, R.: Virtual and Mixed Reality Interfaces for e-Training: Examples of Applications in Light Aircraft Maintenance. In: Stephanidis, C. (ed.) HCI 2007, Part III. LNCS, vol. 4556, pp. 520–529. Springer, Heidelberg (2007)
Tanaka, K.: Virtual Training System using feedback for sport skill learning. Int. J. of Computer Science in Sport. 8(2), 1–7 (2009)
Siemon, A., Wegener, R., Bader, F., Hieber, T., Schmid, U.: Video Games can Improve Performance in Sports. An Empirical Study with Wii Sports Bowling. In: Wallhoff, F., Rigol, G. (Hrsg.) Proceedings of the KI 2009 Workshop on Human-Machine-Interaction (2009)
Chow, Y.: 3D Spatial Interaction with the Wii Remote for Head-Mounted Display Virtual Reality. World Academy of Science, Engineering and Technology 50, 377–383 (2009)
Leong, T., Lai, J., Panza, J., Pong, P., Hong, J.: Wii Want to Write: An Accelerometer Based Gesture Recognition System. In: International Conference on Recent and Emerging Advanced Technologies in Engineering, pp. 4–7. Carnegie Mellon University (2009)
Senin, P.: Dynamic time warping algorithm review. Technical Report CSDL-08-04, Department of Information and Computer Sciences. University of Hawaii, Honolulu, Hawaii 96822 (2008)
Niezen, G., Hancke, G.: Gesture recognition as ubiquitous input for mobile phones. In: International Workshop on Devices that Alter Perception (DAP 2008), Conjunction with Ubicomp (2008)
Liu, J., Wang, Z., Zhong, L., Wickramasuriya, J., Vasudevan, V.: uWave: Accelerometer based Personalized Gesture Recognition and Its Applications. In: IEEE PerCom (2009)
Wilson, D.H., Wilson, A.: Gesture Recognition using the XWand. Technical Report CMURI-TR-04-57. CMU Robotics Institute (2004)
Holt, G.A., Reinders, M.J.T., Hendriks, E.A.: Multi-Dimensional Dynamic Time Warping for Gesture Recognition. In: Thirteenth Annual Conference of the Advanced School for Computing and Imaging (2007)
D’amato, J.P., García Bauza, C.: Simulación de Escenarios Tridimensionales Dinámicos, Grade thesis dissertation. Universidad Nacional del Centro de la Pcia de Buenos Aires, Tandil, Argentina (2004)
Newton Game Dynamics - Physics Engine, http://newtondynamics.com/forum/newton.php
García Bauza, C., Lazo, M., Vénere, M.: Incorporación de comportamiento físico en motores gráficos. In: Mecánica Computacional, vol. XXVII, pp. 3023–3039 (2008)
Wikipedia, Tennis Shots, http://en.wikipedia.org/wiki/Tennis_shots
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
García Bauza, C. et al. (2012). A Tennis Training Application Using 3D Gesture Recognition. In: Perales, F.J., Fisher, R.B., Moeslund, T.B. (eds) Articulated Motion and Deformable Objects. AMDO 2012. Lecture Notes in Computer Science, vol 7378. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31567-1_24
Download citation
DOI: https://doi.org/10.1007/978-3-642-31567-1_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31566-4
Online ISBN: 978-3-642-31567-1
eBook Packages: Computer ScienceComputer Science (R0)