A tennis training application using 3D gesture recognition

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Detalles Bibliográficos
Autor Principal: García Bauza, Cristián
Otros autores o Colaboradores: D'Amato, Juan, Vénere, Marcelo J., Gariglio, Andrés, Abásolo Guerrero, María José, Manresa-Yee, Cristina, Mas-Sansó, Ramon
Formato: Capítulo de libro
Lengua:inglés
Temas:
VIDEOJUEGOS
ENTRENAMIENTO DEPORTIVO
GRÁFICOS
Acceso en línea:http://dx.doi.org/10.1007/978-3-642-31567-1_24
Consultar en el Cátalogo
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.
Notas:Formato de archivo: PDF. -- Este documento es producción intelectual de la Facultad de Informática - UNLP (Colección BIPA/Biblioteca)
Descripción Física:1 archivo (822,5 KB)
DOI:10.1007/978-3-642-31567-1_24

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