Dataset for Real-World Human Action Detection Using FMCW mmWave Radar

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.