TY  - GEN
AU  - García Bauza,Cristián
AU  - D'Amato,Juan
AU  - Vénere,Marcelo J.
AU  - Gariglio,Andrés
AU  - Abásolo Guerrero,María José
AU  - Manresa-Yee,Cristina
AU  - Mas-Sansó,Ramon
TI  - A tennis training application using 3D gesture recognition
KW  - VIDEOJUEGOS
KW  - ENTRENAMIENTO DEPORTIVO
KW  - GRÁFICOS
N1  - Formato de archivo: PDF. -- Este documento es producción intelectual de la Facultad de Informática - UNLP (Colección BIPA/Biblioteca); Articulated Motion and Deformable Objects : 7th International Conference, AMDO 2012, Port d'Andratx, Mallorca, Spain, July 11-13, 2012. Proceedings. Berlín : Springer, 2012 (Lecture Notes in Computer Science ; 7378), pp. 239-249
N2  - 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
UR  - http://dx.doi.org/10.1007/978-3-642-31567-1_24
ER  -