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Dynamic Gesture Recognition with a Terahertz Radar Based on Range Profile Sequences and Doppler Signatures

School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
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Sensors 2018, 18(1), 10; https://doi.org/10.3390/s18010010
Received: 3 September 2017 / Revised: 15 November 2017 / Accepted: 14 December 2017 / Published: 21 December 2017
(This article belongs to the Section Remote Sensors, Control, and Telemetry)
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. View Full-Text
Keywords: terahertz; high-resolution range profile; Doppler; gesture recognition terahertz; high-resolution range profile; Doppler; gesture recognition
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MDPI and ACS Style

Zhou, Z.; Cao, Z.; Pi, Y. Dynamic Gesture Recognition with a Terahertz Radar Based on Range Profile Sequences and Doppler Signatures. Sensors 2018, 18, 10.

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