5G-Enabled Contactless Multi-User Presence and Activity Detection for Independent Assisted Living

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]

Enlighten Publications URI: http://eprints.gla.ac.uk/id/eprint/249524

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.

College / School: College of Science and Engineering > School of Engineering
Date Deposited: 28 May 2021 09:33
Funder's Name: Engineering and Physical Sciences Research Council (EPSRC), Engineering and Physical Sciences Research Council (EPSRC)
URI: http://researchdata.gla.ac.uk/id/eprint/1151

Available Files

Data

Read me

Repository Staff Only: Update this record

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

University of Glasgow

DOI: 10.5525/gla.researchdata.1151

Retrieved: 2021-10-16

Downloads

Downloads per month over past year