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A Tennis Training Application Using 3D Gesture Recognition

  • Cristian García Bauza
  • Juan D’Amato
  • Andrés Gariglio
  • María José Abásolo
  • Marcelo Vénere
  • Cristina Manresa-Yee
  • Ramon Mas-Sansó
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7378)

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.

Keywords

Gesture recognition Wiimote Videogames Sport training Tennis training Accelerometer Computer graphics Dynamic Time Warping 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Cristian García Bauza
    • 1
    • 2
  • Juan D’Amato
    • 1
    • 2
  • Andrés Gariglio
    • 1
  • María José Abásolo
    • 3
    • 4
  • Marcelo Vénere
    • 1
    • 5
  • Cristina Manresa-Yee
    • 6
  • Ramon Mas-Sansó
    • 6
  1. 1.Instituto PLADEMAUniversidad Nacional del Centro de la Provincia de Buenos AiresTandilArgentina
  2. 2.CONICETArgentina
  3. 3.Universidad Nacional de La PlataLa PlataArgentina
  4. 4.Comision de Investigaciones Científicas de la Provincia de Buenos AiresArgentina
  5. 5.CNEAArgentina
  6. 6.Universitat de les Illes BalearsPalmaEspaña

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