Dataset of continuous human activities performed in arbitrary directions collected with a distributed radar network of five nodes

doi: 10.4121/eda41444-9ae8-4655-aac5-4d2541b2bcd8.v5
The doi 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
Datacite citation style:
Guendel, Ronny G.; Unterhorst, Matteo; Kruse, Nicolas; Yarovoy, Alexander; Francesco Fioranelli (2024): Dataset of continuous human activities performed in arbitrary directions collected with a distributed radar network of five nodes. Version 5. 4TU.ResearchData. dataset. https://doi.org/10.4121/eda41444-9ae8-4655-aac5-4d2541b2bcd8.v5
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

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.

 

Referencing the dataset

 Guendel, Ronny Gerhard; Unterhorst, Matteo; Fioranelli, Francesco; Yarovoy, Alexander (2021): Dataset of continuous human activities performed in arbitrary directions collected with a distributed radar network of five nodes. 4TU.ResearchData. Dataset. https://doi.org/10.4121/16691500 


 

 

@misc{Guendel2022, author = "Ronny Gerhard Guendel and Matteo Unterhorst and Francesco Fioranelli and Alexander Yarovoy", title = "{Dataset of continuous human activities performed in arbitrary directions collected with a distributed radar network of five nodes}", year = "2021", month = "Nov", url = "https://data.4tu.nl/articles/dataset/Dataset_of_continuous_human_activities_performed_in_arbitrary_directions_collected_with_a_distributed_radar_network_of_five_nodes/16691500", doi = "10.4121/16691500" }  


Paper references are: 

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 


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.


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.


history
  • 2021-11-02 first online
  • 2024-07-16 published, posted
publisher
4TU.ResearchData
format
Matlab program: *.mlx Matlab files: *.mat
organizations
TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Microelectronics

DATA

files (18)
  • 447,348 bytesMD5:1ac7692439894543c8b87b9a53782f6e README_v3.pdf
  • 15,779,804,713 bytesMD5:6fe161a84d680fd0e72a402d33e46bf0 1.7z
  • 15,804,144,707 bytesMD5:849a2b1ac7841042c73b6231f14f595c 10.7z
  • 15,812,572,081 bytesMD5:1eecaad14c39d02ceea8e5b58df4bbf4 11.7z
  • 15,803,346,077 bytesMD5:0b20b578cae03ab30b39ddf13324c054 12.7z
  • 15,788,874,530 bytesMD5:349a5774cfadafed62cea6653516de93 13.7z
  • 15,798,694,429 bytesMD5:2754ed81004e8d1f8234be4dcdd02e76 14.7z
  • 15,797,671,970 bytesMD5:e7ff8b12cf622dcbf3663e917b64c82c 15.7z
  • 15,816,838,247 bytesMD5:3cab09455c7f8a9b09d35e8bb142900a 2.7z
  • 15,264,883,585 bytesMD5:3cf8ef2e1efd419d08f9ea56b08a3fb4 3.7z
  • 15,178,802,122 bytesMD5:375e4afe39d36a076c58e202acda8a0f 4.7z
  • 15,806,228,841 bytesMD5:d4aaeedaacf6a9264210110ba26fc4e7 5.7z
  • 15,284,905,780 bytesMD5:bb007729c9f9657bf5f41e835e5eb624 6.7z
  • 15,282,621,058 bytesMD5:a8322e6772c81771430dd2a5b9e5543b 7.7z
  • 15,793,103,469 bytesMD5:19ad722e87952b5a091949ae4213648e 8.7z
  • 15,800,914,884 bytesMD5:524a74853ec66861aa96b4e26cd87db6 9.7z
  • 1,282,659 bytesMD5:94fb9d08165a4877c2fd4baeda0322c5 dataread.mlx
  • 2,347 bytesMD5:32aa1e6df6a157e7cf458931ff2eaaaa dataread_numpy.py
  • download all files (zip)
    234,815,138,847 bytes unzipped