TY - GEN
T1 - RFiDARFusion
T2 - 2024 IEEE International Symposium on Antennas and Propagation and INC/USNCURSI Radio Science Meeting, AP-S/INC-USNC-URSI 2024
AU - Khan, Muhammad Zakir
AU - Bilal, Muhammad
AU - Luke, Alexander Maniangat
AU - Arshad, Kamran
AU - Assaleh, Khaled
AU - Shah, Syed Tariq
AU - Imran, Muhammad Ali
AU - Abbasi, Qammer H.
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Indoor human activity recognition (HAR) faces challenges due to the limitations of single-sensor systems in terms of privacy and cost. Our contactless RFiDARFusion system aims to reduce healthcare costs by swiftly identifying unforeseen activities through artificial intelligence and wireless communication. The system accurately discerns complex human activities by employing the LSTM-VAE fusion algorithm for multi-sensor data extraction, proving effective in long-range and non-line-of-sight environments. Two data fusion algorithms were studied across five distinct activities, significantly improving HAR accuracy by a minimum of 4.5% and 6.5% under data and feature-level fusion, respectively. The resulting RFiDARFusion system is contactless, precise, and robust, promising to enhance the quality of life for elderly patients in assisted living.
AB - Indoor human activity recognition (HAR) faces challenges due to the limitations of single-sensor systems in terms of privacy and cost. Our contactless RFiDARFusion system aims to reduce healthcare costs by swiftly identifying unforeseen activities through artificial intelligence and wireless communication. The system accurately discerns complex human activities by employing the LSTM-VAE fusion algorithm for multi-sensor data extraction, proving effective in long-range and non-line-of-sight environments. Two data fusion algorithms were studied across five distinct activities, significantly improving HAR accuracy by a minimum of 4.5% and 6.5% under data and feature-level fusion, respectively. The resulting RFiDARFusion system is contactless, precise, and robust, promising to enhance the quality of life for elderly patients in assisted living.
UR - https://www.scopus.com/pages/publications/85207103481
U2 - 10.1109/AP-S/INC-USNC-URSI52054.2024.10687056
DO - 10.1109/AP-S/INC-USNC-URSI52054.2024.10687056
M3 - Conference contribution
AN - SCOPUS:85207103481
T3 - IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)
SP - 689
EP - 690
BT - 2024 IEEE International Symposium on Antennas and Propagation and INC/USNCURSI Radio Science Meeting, AP-S/INC-USNC-URSI 2024 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 14 July 2024 through 19 July 2024
ER -