Contactless Fall Detection using RFID Wall and AI

Khan, M. Z., Qayyum, A., Arshad, K., Assaleh, K., Imran, M. A. and Abbasi, Q. H. (2023) Contactless Fall Detection using RFID Wall and AI. In: 2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, Portland, Oregon, USA, 23–28 July 2023, (Accepted for Publication)

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Item Type:Conference Proceedings
Additional Information:This work is supported in parts by EPSRC grant no. EP/T021020/1 and EP/T021063/1.
Status:Accepted for Publication
Refereed:Yes
Glasgow Author(s) Enlighten ID:Abbasi, Dr Qammer and Khan, Muhammad Zakir and Imran, Professor Muhammad and Qayyum, Adnan
Authors: Khan, M. Z., Qayyum, A., Arshad, K., Assaleh, K., Imran, M. A., and Abbasi, Q. H.
College/School:College of Science and Engineering > School of Engineering
College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
307829Quantum-Inspired Imaging for Remote Monitoring of Health & Disease in Community HealthcareJonathan CooperEngineering and Physical Sciences Research Council (EPSRC)EP/T021020/1ENG - Biomedical Engineering