Abstract

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.

Highlights

  • The frequency of terahertz radar ranges from 0.1 THz to 10 THz, which is situated between microwaves and infrared waves [1]

  • High-resolution range profiles and Doppler signatures can be achieved due to the high frequency of terahertz waves

  • We focus on gesture recognition for terahertz radar using multi-modal signals

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Summary

Introduction

The frequency of terahertz radar ranges from 0.1 THz to 10 THz, which is situated between microwaves and infrared waves [1]. Doppler signatures obtained from terahertz radar are the velocity information of the target motion, which can be used in the hand-gesture recognition field [18]. Multi-modal signals, including HRRP and Doppler signatures in terahertz radar systems, provide target information for both image and velocity. This property allows terahertz radar signals to carry much more information than single sensors, such as camera, infrared sensors, data gloves, and so on. HRRP sequences of hand gestures, in continuous time, are obtained from the received signals of a terahertz radar system.

Radar System and Multi-Modal Signals
Doppler Signatures
Gesture Recognition Scheme
Gesture
Classification Method
DTWeis Ddefined
Recognition
Experimental Data
It that distinct signatures
Experimental Data Preprocessing
Experimental
Experimental Results
G8 0 0
Conclusions
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