A tennis training application using 3D gesture recognition
| Autor Principal: | |
|---|---|
| Otros autores o Colaboradores: | , , , , , |
| Formato: | Capítulo de libro |
| Lengua: | inglés |
| Temas: | |
| 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 |