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Dual-Timescale Classification of Human Activities Using Radar Point Clouds

Conference Paper (2025)
Author(s)

N.C. Kruse (TU Delft - Microwave Sensing, Signals & Systems)

A. Daalman (TU Delft - Microwave Sensing, Signals & Systems)

F. Fioranelli (TU Delft - Microwave Sensing, Signals & Systems)

Alexander Yarovoy (TU Delft - Microwave Sensing, Signals & Systems)

Microwave Sensing, Signals & Systems
DOI related publication
https://doi.org/10.23919/EuRAD65285.2025.11234242
More Info
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Publication Year
2025
Language
English
Microwave Sensing, Signals & Systems
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository as part of the Taverne amendment. More information about this copyright law amendment can be found at https://www.openaccess.nl. Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Pages (from-to)
111-114
ISBN (print)
979-8-3315-3649-7
ISBN (electronic)
978-2-87487-083-5
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

The problem of radar-based, continuous Human Activity Recognition (HAR) has been studied in this work. A fixed-window segmentation method based on dual timescales has been proposed to tackle this challenge. The method is experimentally validated on a challenging publicly available dataset with 14 participants and 9 activities, and is compared to reference works from the literature. L1PO validation of the method yields a test accuracy and macro F1-score of 87.5 % and 80.1 % respectively.

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