Research Article

An Action Recognition Method for Volleyball Players Using Deep Learning

Table 2

Comparison of the recognition effect of different volleyball players’ action recognition methods on the Florence3D action database.

Action recognition method of volleyball playersAverage recognition rate on the Florence3D action database (%)

L. Seidenari [26]82.00
M. Devanne [28]87.04
R. Anirudh [27]89.67
R. Vemulapalli [29]90.88
Method of this paper93.00