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

Computer Vision and Pattern Recognition 2024-12-24 v1
Authors: Dylan jayabahu , Parthipan Siva
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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.

Cite

@article{arxiv.2412.17517,
  title  = {Dataset for Real-World Human Action Detection Using FMCW mmWave Radar},
  author = {Dylan jayabahu and Parthipan Siva},
  journal= {arXiv preprint arXiv:2412.17517},
  year   = {2024}
}

Comments

To be published in JCVIS (proceedings of 10th Annual Conference on Vision and Intelligent Systems)

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R2 v1 2026-06-28T20:46:34.363Z