Radar Human Breathing Dataset for Applications of Ambient Assisted Living and Search and Rescue Operations

Cansu Eren, Saeid Karamzadeh, Mesut Kartal

Research output: Contribution to journalArticlepeer-review

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.
Original languageEnglish
JournalData in Brief
DOIs
Publication statusPublished - 10 Nov 2023

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