A tennis training application using 3d gesture recognition

Authors:
Cristian García Bauza;Juan D'Amato;Andrés Gariglio;María José Abásolo;Marcelo Vénere;Cristina Manresa-Yee;Ramon Mas-Sansó
Affiliations:
Instituto PLADEMA, Universidad Nacional del Centro de la Provincia de Buenos Aires, Tandil, Argentina, CONICET, Argentina;Instituto PLADEMA, Universidad Nacional del Centro de la Provincia de Buenos Aires, Tandil, Argentina, CONICET, Argentina;Instituto PLADEMA, Universidad Nacional del Centro de la Provincia de Buenos Aires, Tandil, Argentina;Universidad Nacional de La Plata, La Plata, Argentina, Comision de Investigaciones Científicas de la Provincia de Buenos Aires, Argentina;Instituto PLADEMA, Universidad Nacional del Centro de la Provincia de Buenos Aires, Tandil, Argentina, CNEA, Argentina;Universitat de les Illes Balears, Palma, España;Universitat de les Illes Balears, Palma, España
Venue:
AMDO'12 Proceedings of the 7th international conference on Articulated Motion and Deformable Objects
Year:
2012

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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.