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Dual-Timescale Classification of Human Activities Using Radar Point Clouds

Conference Paper (2025)
Author(s)

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

A. Daalman (Microwave Sensing, Signals & Systems)

F. Fioranelli (Microwave Sensing, Signals & Systems)

A. Yarovoy (Microwave Sensing, Signals & Systems)

DOI related publication
https://doi.org/10.23919/EuRAD65285.2025.11234242 Final published version
More Info
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Publication Year
2025
Language
English
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.
Pages (from-to)
111-114
Publisher
IEEE
ISBN (print)
979-8-3315-3649-7
ISBN (electronic)
978-2-87487-083-5
Event
Downloads counter
53
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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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