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. 2023 Nov 10:51:109757.
doi: 10.1016/j.dib.2023.109757. eCollection 2023 Dec.

Radar human breathing dataset for applications of ambient assisted living and search and rescue operations

Affiliations

Radar human breathing dataset for applications of ambient assisted living and search and rescue operations

Cansu Eren et al. Data Brief. .

Abstract

This dataset consists of signatures of human vital signs that are recorded by ultrawideband radar and lidar sensors. The data acquisition scene considers the human posture models(supine/lateral/facedown), different radar antenna angles towards the human, various set of distances and operational radar characteristics (bandwidth selection/mean power). The raw data files of lidar&radar and processed data files are presented separately in the data repository. The lidar sensor is chosen as a reference sensor. There are 432 data records, and each data scene's trial number is eight. There is a homogeneous wooden table to mimic clutter while forming a dataset. Thus, this dataset covers applications of search and rescue operations, sleep monitoring, and ambient assisted living (AAL) applications.

Keywords: Ambient assisted living, radar; Monitoring; Ultrawideband (UWB); Vital signs.

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Figures

Fig. 1
Fig. 1
The proposed data file structure.
Fig. 2
Fig. 2
The UWB radar data record samples that regard bandwidth selection and human posture.
Fig. 3
Fig. 3
The UWB radar data record samples that regard different ranges and antenna orientations.
Fig. 4
Fig. 4
The density representation of detected breath frequencies and the absolute relative error rates of UWB breath data.
Fig. 5
Fig. 5
Experimental design. (a) Depiction of experimental scene regarding selection of radar operational parameters, antenna and subject orientations. (b) The experimental setup was used in dataset acquisition (c) Human body postures.
Fig. 6
Fig. 6
The flowchart of the proposed dataset, DeltaR=10cm_Angle=0_Band1_Trial1.

References

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