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

Fuente: arXiv
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Main Authors: jayabahu, Dylan, Siva, Parthipan
Format: Preprint
Published: 2024
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author jayabahu, Dylan
Siva, Parthipan
author_facet jayabahu, Dylan
Siva, Parthipan
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2412_17517
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Dataset for Real-World Human Action Detection Using FMCW mmWave Radar
jayabahu, Dylan
Siva, Parthipan
Computer Vision and Pattern Recognition
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.
title Dataset for Real-World Human Action Detection Using FMCW mmWave Radar
topic Computer Vision and Pattern Recognition
url https://arxiv.org/abs/2412.17517