Name
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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-31567-1_24 | AMDO |
Keywords | Field | DocType |
dynamic time warping,tennis training,gesture templates database,tennis training application,wiimote data,wiimote device,different sport shot,sport training system,prior training,gesture recognition,user movement,new gesture | Computer vision,Normalization (statistics),Dynamic time warping,Accelerometer,Gesture,Training system,Computer science,Gesture recognition,Artificial intelligence,Computer graphics,Trajectory | Conference |
Volume | ISSN | Citations |
7378 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 8 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cristian García Bauza | 1 | 4 | 2.78 |
| Juan D'Amato | 2 | 1 | 1.38 |
| Andrés Gariglio | 3 | 0 | 0.34 |
| María José Abásolo | 4 | 0 | 1.01 |
| Marcelo Vénere | 5 | 0 | 0.34 |
| Cristina Manresa-Yee | 6 | 120 | 20.73 |
| Ramon Mas Sanso | 7 | 40 | 6.86 |