1. 实验结果表明，动作分类准确率高于传统的单特征集单分类器的分类方法，且训练、分类效率高于结构化神经网络特征融合方法。
Experimental results show that the recognition rate of the proposed classification strategy is higher than that of the single feature domain method, and the strategy is more efficient than the conventional structural neural network.