雷达
太赫兹辐射
计算机科学
动态时间归整
多普勒效应
人工智能
雷达成像
多普勒雷达
特征(语言学)
特征提取
计算机视觉
声学
遥感
模式识别(心理学)
物理
光学
电信
地理
语言学
哲学
天文
作者
Zhou Zhi,Zongjie Cao,Yiming Pi
出处
期刊:Sensors
[Multidisciplinary Digital Publishing Institute]
日期:2017-12-21
卷期号:18 (1): 10-10
被引量:71
摘要
The frequency of terahertz radar ranges from 0.1 THz to 10 THz, which is higher than that of microwaves. Multi-modal signals, including high-resolution range profile (HRRP) and Doppler signatures, can be acquired by the terahertz radar system. These two kinds of information are commonly used in automatic target recognition; however, dynamic gesture recognition is rarely discussed in the terahertz regime. In this paper, a dynamic gesture recognition system using a terahertz radar is proposed, based on multi-modal signals. The HRRP sequences and Doppler signatures were first achieved from the radar echoes. Considering the electromagnetic scattering characteristics, a feature extraction model is designed using location parameter estimation of scattering centers. Dynamic Time Warping (DTW) extended to multi-modal signals is used to accomplish the classifications. Ten types of gesture signals, collected from a terahertz radar, are applied to validate the analysis and the recognition system. The results of the experiment indicate that the recognition rate reaches more than 91%. This research verifies the potential applications of dynamic gesture recognition using a terahertz radar.
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