@inproceedings{e7565bf5b7e343e5afd12fdcd902483c,
title = "Dual-Timescale Classification of Human Activities Using Radar Point Clouds",
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.",
keywords = "Human activity recognition, machine learning, radar, point cloud processing",
author = "Kruse, \{N. C.\} and A. Daalman and F. Fioranelli and A. Yarovoy",
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.; 2025 22nd European Radar Conference (EuRAD) ; Conference date: 24-09-2025 Through 26-09-2025",
year = "2025",
doi = "10.23919/EuRAD65285.2025.11234242",
language = "English",
isbn = "979-8-3315-3649-7",
series = "2025 22nd European Radar Conference, EuRAD 2025",
publisher = "IEEE",
pages = "111--114",
booktitle = "Proceedings of the 2025 22nd European Radar Conference (EuRAD)",
address = "United States",
}