Dataset for Real-World Human Action Detection Using FMCW mmWave Radar
Dylan jayabahu, Parthipan Siva

TL;DR
This paper introduces a real-world mmWave radar dataset for human action detection, addressing the gap in existing research which is limited to simulations and controlled environments.
Contribution
The paper provides the first real-world mmWave radar dataset for human action detection along with baseline results, advancing practical applications.
Findings
First real-world dataset for mmWave radar human action detection
Baseline results demonstrating feasibility in real environments
Addresses limitations of previous simulation-based studies
Abstract
Human action detection using privacy-preserving mmWave radar sensors is studied for its applications in healthcare and home automation. Unlike existing research, limited to simulations in controlled environments, we present a real-world mmWave radar dataset with baseline results for human action detection.
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Taxonomy
TopicsNon-Invasive Vital Sign Monitoring · Advanced SAR Imaging Techniques · Infrared Thermography in Medicine
