Name
Abstract | ||
|---|---|---|
We present a sport skill data analysis with time series image data retrieved from motion pictures, focused on table tennis. We do not use body nor skeleton model, but use only hi-speed motion pictures, from which time series data are obtained and analyzed using data mining methods such as C4.5 and so on. We identify internal models for technical skills as evaluation skillfulness for forehand stroke of table tennis, and discuss mono and meta-functional skills for improving skills. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/AMC.2014.6823337 | AMC |
Keywords | Field | DocType |
data mining,image motion analysis,sport,time series,data analysis,data mining methods,forehand stroke,internal models,metafunctional skills,monofunctional skills,motion pictures,sport motion picture analysis,table tennis,technical skills,time series image data retrieval,knowledge acquisition,motion picture,sport skill,time series data,biomechanics,psychology,radio frequency | Computer vision,Time series,Information retrieval,Computer science,Control engineering,Artificial intelligence | Conference |
ISSN | Citations | PageRank |
1943-6572 | 0 | 0.34 |
References | Authors | |
2 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Toshiyuki Maeda | 1 | 213 | 25.86 |
| Fujii, M. | 2 | 0 | 0.34 |
| Isao Hayashi | 3 | 276 | 85.75 |