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

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 rada...

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Detalles Bibliográficos
Autores principales: Eren, Cansu, Karamzadeh, Saeid, Kartal, Mesut
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10694063/
http://dx.doi.org/10.1016/j.dib.2023.109757
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author Eren, Cansu
Karamzadeh, Saeid
Kartal, Mesut
author_facet Eren, Cansu
Karamzadeh, Saeid
Kartal, Mesut
author_sort Eren, Cansu
collection PubMed
description 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.
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spelling pubmed-106940632023-12-05 Radar human breathing dataset for applications of ambient assisted living and search and rescue operations Eren, Cansu Karamzadeh, Saeid Kartal, Mesut Data Brief Data Article 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. Elsevier 2023-11-10 /pmc/articles/PMC10694063/ http://dx.doi.org/10.1016/j.dib.2023.109757 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Eren, Cansu
Karamzadeh, Saeid
Kartal, Mesut
Radar human breathing dataset for applications of ambient assisted living and search and rescue operations
title Radar human breathing dataset for applications of ambient assisted living and search and rescue operations
title_full Radar human breathing dataset for applications of ambient assisted living and search and rescue operations
title_fullStr Radar human breathing dataset for applications of ambient assisted living and search and rescue operations
title_full_unstemmed Radar human breathing dataset for applications of ambient assisted living and search and rescue operations
title_short Radar human breathing dataset for applications of ambient assisted living and search and rescue operations
title_sort radar human breathing dataset for applications of ambient assisted living and search and rescue operations
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10694063/
http://dx.doi.org/10.1016/j.dib.2023.109757
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