A tennis training application using 3D gesture recognition

Título:

A tennis training application using 3D gesture recognition

Autor:

García Bauza, Cristián

Colaboradores:

; D'Amato, Juan; Vénere, Marcelo J.; Gariglio, Andrés; Abásolo Guerrero, María José; Manresa-Yee, Cristina; Mas-Sansó, Ramon

Temas:

VIDEOJUEGOSENTRENAMIENTO DEPORTIVOGRÁFICOS

En:

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

Resumen:

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.

URL/DOI:

http://dx.doi.org/10.1007/978-3-642-31567-1_24

Medio:

Soporte electrónico

Tipo de documento:

Artículo

Descripción física:

1 archivo (822,5 KB)

Idioma:

Inglés

Publicación:

Springer, 2012

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