Ashleibta, A. M. A., Taha, A., Taylor, W., Zoha, A. , Imran, M. and Abbasi, Q. (2021) 5G-Enabled Contactless Multi-User Presence and Activity Detection for Independent Assisted Living. [Data Collection]

Collection description

The dataset represents a combination of activities captured through wireless channel state information, using two USRP X300/X310 devices, to serve a system that was designed to detect presence and activities amongst multiple subjects. The dataset was divided into 16 classes, each represents a particular number of subjects and activities. More details can be found in the readme file.

Funding:	Engineering and Physical Sciences Research Council (EPSRC) [EP/R511705/1] Engineering and Physical Sciences Research Council (EPSRC) [EP/T021020/1] Engineering and Physical Sciences Research Council (EPSRC) [EP/T021063/1]
College / School:	College of Science and Engineering > School of Engineering
Date Deposited:	28 May 2021 09:33
URI:	https://researchdata.gla.ac.uk/id/eprint/1151
Additional details Additional details Type of data: Spreadsheet, Text Collection period: From To 1 May 2021 27 May 2021 Date: 27 May 2021 Date type: Publication Resource language: EN Status: Published Data Publisher: University of Glasgow Last Modified: 11 Nov 2021 09:41

Available Files

Data

Data_Set_for_5G ... isted_Living.7z Data_Set_for_5G ... isted_Living.7z Data_Set_for_5G ... isted_Living.7z Visible to: Anyone Content type: Data Metadata Revision: 2 Mime-Type: application/x-7z-compressed License: Creative Commons: Attribution 4.0 File size: 843MB

Read me

ReadMe.pdf ReadMe.pdf ReadMe.pdf Visible to: Anyone Content type: Read me Metadata Revision: 2 Mime-Type: application/pdf License: Creative Commons: Attribution 4.0 File size: 854kB

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