The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/16691500

Guendel, Ronny G.; Unterhorst, Matteo; Kruse, Nicolas; Zhu, Simin; Yarovoy, Alexander et. al. (2025): Dataset of continuous human activities performed in arbitrary directions collected with a distributed radar network of five nodes. Version 6. 4TU.ResearchData. dataset. https://doi.org/10.4121/16691500.v6

Version 5 - 2024-07-16 Version 4 - 2024-07-15 Version 3 - 2022-02-16 Version 2 - 2021-11-29 Version 1 - 2021-11-02

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Categories

• Electrical and Electronic Engineering
• Engineering

Keywords

Assisted Living Classification Distributed Radar Human Activity Recognition Human Activity Recognition (HAR) Machine Learning Micro-Doppler

Licence

CC BY 4.0

Interoperability

• IIIF Manifest
• RO-Crate Metadata

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by Ronny G. Guendel , Matteo Unterhorst , Nicolas Kruse , Simin Zhu , Alexander Yarovoy, Francesco Fioranelli

Please review the document README_v3.pdf

The data can be extracted with the MATLAB Live Script dataread.mlx, or in Python with the file dataread_numpy.py.

Update 2025-09-16 (by Simin Zhu):

The code and processed radar data used in publication [4] have been added here as supplementary material (Zip file named as the publication). Before using them, please read the provided README file. The supplement contains a separate README, and you will need to unpack the compressed folder to access the contents.

Referencing the dataset

Please click the orange "Citation" button above.

Paper references are:

[1] Guendel, R.G., Fioranelli, F.,Yarovoy, A.: Distributed radar fusion and recurrent networks for classification of continuous human activities. IET Radar Sonar Navig. 1–18 (2022). https://doi.org/10.1049/rsn2.12249

[2] R. G. Guendel, F. Fioranelli and A. Yarovoy, "Evaluation Metrics for Continuous Human Activity Classification Using Distributed Radar Networks," 2022 IEEE Radar Conference (RadarConf22), 2022, pp. 1-6, doi: 10.1109/RadarConf2248738.2022.9764181.

[3] R. G. Guendel, M. Unterhorst, E. Gambi, F. Fioranelli and A. Yarovoy, "Continuous human activity recognition for arbitrary directions with distributed radars," 2021 IEEE Radar Conference (RadarConf21), 2021, pp. 1-6, doi: 10.1109/RadarConf2147009.2021.9454972.

[4] S. Zhu, R. G. Guendel, A. Yarovoy and F. Fioranelli, "Continuous Human Activity Recognition With Distributed Radar Sensor Networks and CNN–RNN Architectures," in IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-15, 2022, Art no. 5115215, doi: 10.1109/TGRS.2022.3189746.

History

• 2021-11-02 first online

• 2025-09-16 published, posted

Publisher

4TU.ResearchData

Format

Matlab program: *.mlx Matlab files: *.mat

Associated peer-reviewed publication

Distributed radar fusion and recurrent networks for classification of continuous human activities

References

• https://doi.org/10.1049/rsn2.12249

Organizations

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Microelectronics