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

Cansu Eren; Saeid Karamzadeh; Mesut Kartal

doi:10.1016/j.dib.2023.109757

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

Cansu Eren^*
, Saeid Karamzadeh
, Mesut Kartal

^*Bu çalışma için yazışmadan sorumlu yazar

Elektronik ve Hab.Müh.Bölümü

Araştırma sonucu: Dergiye katkı › Makale › bilirkişi

3 Atıf (Scopus)

Özet

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.

Orijinal dil	İngilizce
Makale numarası	109757
Dergi	Data in Brief
Hacim	51
DOI'lar	https://doi.org/10.1016/j.dib.2023.109757
Yayın durumu	Yayınlandı - Ara 2023

Bibliyografik not

Publisher Copyright:
© 2023 The Author(s)

Finansman

This study was supported by Istanbul Aydın University, Scientific Research Project (BAP) research fund in 2017.

Finansörler
Istanbul Aydın University

Belgeye Erişim

10.1016/j.dib.2023.109757

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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title = "Radar human breathing dataset for applications of ambient assisted living and search and rescue operations",

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",

author = "Cansu Eren and Saeid Karamzadeh and Mesut Kartal",

note = "Publisher Copyright: {\textcopyright} 2023 The Author(s)",

year = "2023",

month = dec,

doi = "10.1016/j.dib.2023.109757",

language = "English",

volume = "51",

journal = "Data in Brief",

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TY - JOUR

T1 - Radar human breathing dataset for applications of ambient assisted living and search and rescue operations

AU - Eren, Cansu

AU - Karamzadeh, Saeid

AU - Kartal, Mesut

PY - 2023/12

Y1 - 2023/12

N2 - 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.

AB - 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.

KW - Ambient assisted living, radar

KW - Monitoring

KW - Ultrawideband (UWB)

KW - Vital signs

UR - https://www.scopus.com/pages/publications/85177242151

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DO - 10.1016/j.dib.2023.109757

M3 - Article

AN - SCOPUS:85177242151

SN - 2352-3409

VL - 51

JO - Data in Brief

JF - Data in Brief

M1 - 109757

ER -

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

Özet

Bibliyografik not

Finansman

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap