Identification of Human Motion Using Radar Sensor in an Indoor Environment

被引：23

作者：

Kang, Sung-wook ^{[1
]}

Jang, Min-ho ^{[1
]}

Lee, Seongwook ^{[1
]}

机构：

[1] Korea Aerosp Univ, Sch Elect & Informat Engn, Coll Engn, Goyang Si 10540, Gyeonggi Do, South Korea

来源：

SENSORS | 2021年 / 21卷 / 07期

关键词：

motion identification; radar sensor; spectrogram; target classification;

D O I：

10.3390/s21072305

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

In this paper, we propose a method of identifying human motions, such as standing, walking, running, and crawling, using a millimeter wave radar sensor. In our method, two signal processing is performed in parallel to identify the human motions. First, the moment at which a person's motion changes is determined based on the statistical characteristics of the radar signal. Second, a deep learning-based classification algorithm is applied to determine what actions a person is taking. In each of the two signal processing, radar spectrograms containing the characteristics of the distance change over time are used as input. Finally, we evaluate the performance of the proposed method with radar sensor data acquired in an indoor environment. The proposed method can find the moment when the motion changes with an error rate of 3%, and also can classify the action that a person is taking with more than 95% accuracy.

引用

页数：17

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