Implementation of C4.5 decision tree in Human Gesture Recognition based on Doppler radars

被引：0

作者：

Zhang, Guiyuan ^{[1
]}

Zhang, Kang ^{[1
]}

Yun, Yihan ^{[1
]}

Lu, Gang ^{[1
]}

Lan, Shengchang ^{[1
]}

机构：

[1] Harbin Inst Technol, Dept Microwave Engn, Harbin, Peoples R China

来源：

2019 INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION (ISAP 2019) | 2019年

关键词：

gesture recognition; doppler radar array; 24GHz radar; decision tree; C4.5; algorithm; HAND;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In order to improve the accuracy of gesture recognition, we investigate the feasibility of using a three-dimensional Doppler-radar array at 24GHz to recognize human gestures with a model consisted of ten classical gestures. On the basis of C4.5 algorithm, phase difference and spectral energy, extracted by correlation processing and power integral, are used as the features to construct decision tree and separate ten gestures. The experiment result shows that this system could achieve a high accuracy of classification reached 99.25%.

引用

页数：3