文章详尽阐述了手势识别的基本原理与方法,通过对加速度数据的采集、预处理以及特征提取,运用 BP 神经网络并构建决策树来实现手势识别.试验结果表明,文章提出的算法具有很高的准确性和可靠性,为手势识别技术的发展提供了宝贵的参考依据.
Abstract
The basic principles and methods of gesture recognition are elaborated.By collect-ing,preprocessing,and extracting features from acceleration data,gesture recognition is achieved by using a BP neural network and constructing a decision tree.Experimental results show that the pro-posed algorithm has high accuracy and reliability,providing valuable reference for the development of gesture recognition technology.
维普
万方数据