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 players | Average 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 paper | 93.00 |
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