Taylor, W., Pinkerton, S., Khan, M. T., Taha, M. M.A. , Barakat, B., Shawky, M. A. , Abbasi, Q. H. , Imran, M. A. and Taha, A. (2024) WiPE-FaLl: Wi-Fi-based Prediction and Estimation of Fall Likelihood. [Data Collection]
Collection description
This dataset contains Channel State Information (CSI) amplitude data for a single human subject performing a Timed Up-and-go (TUG) test within an office environment within the University of Glasgow’s James Watt South Building. The data has been collected by using a pair of Universal Software Radio Peripheral (USRP) X300 devices. One is used as the transmitter and the other is used as the receiver. This dataset aims to explore if it is possible to recognise if a walking pattern can be associated with a low, medium or high risk of fall from the CSI data.
Due to the size of the files, dataset is only available on an on-request basis. Please use the 'Request Data' button and see the readme document for more information. This dataset is licensed with a Creative Commons Attribution CC-BY 4.0 license.
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| College / School: | College of Science and Engineering > School of Engineering College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering College of Science and Engineering > School of Engineering > Systems Power and Energy |
| Date Deposited: | 04 Apr 2024 09:19 |
| URI: | https://researchdata.gla.ac.uk/id/eprint/1623 |
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