mmWave Frequency Modulated Continuous Wave Radar-based Human Action Recognition

被引：0

作者：

Bilici, Zehra ^{[1
]}

Aytutuldu, Ilhan ^{[1
]}

Genc, Yakup ^{[1
]}

Akgul, Yusuf Sinan ^{[1
]}

机构：

[1] Gebze Tekn Univ, Bilgisayar Muhendisligi, Muhendisl Fak, Kocaeli, Turkiye

来源：

32ND IEEE SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE, SIU 2024 | 2024年

关键词：

human action recognition(HAR); radar-based HAR; micro-Doppler; range-Doppler;

D O I：

10.1109/SIU61531.2024.10600787

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Human motion recognition is a field where human activities are extracted from raw time-series signals obtained through sensors. Due to privacy concerns or personal comfort issues, recently, radar technology is being used as an alternative. In this study, a human motion recognition model utilizing mmWave radar data collected from individuals has been developed. The proposed model utilizes micro-Doppler and range-Doppler spectrograms as input. The results obtained successfully demonstrate the model's ability to accurately identify movements such as "arm raising", "walking" and "stand up" in real-time for healthy individuals.

引用

页数：4

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