Abstract Substantial inferences about affect can be made by detecting human movements. This demo shows how real-time movement detection can be achieved through RF-sensing, which has shown great promise in detecting human movements in a privacy-preserving manner. USRP Software Defined Radios (SDRs) are used in this demo to extract the channel state information from a continuous stream of multiple subcarriers. The channel state information describes the signal propagation between the transmitter and receiver of wireless communication. The different amplitudes observed in the channel state information during communication can be used to infer human movements.
Bio Qammer H. Abbasi is with the James Watt School of Engineering, University of Glasgow, Scotland. He received his Ph.D. degree in electronic and electrical engineering from the Queen Mary University of London. He is currently a senior lecturer (associate professor) with the School of Engineering, University of Glasgow. He has been mentoring several undergraduate, graduate students, and postdocs. Dr. Abbasi has a research portfolio of around £5 million and contributed to 10 books and more than 300 leading international technical journals and peer reviewed conference papers, and received several recognitions for his research. He is a Senior Member of IEEE. His research interests include antennas, Bio-Electromagnetics, nano communication, Terahertz sensing, internet of things, biomedical applications of millimeter and terahertz communication, wearable and flexible sensors, antenna interaction with the human body, Implants, body-centric wireless communication issues, wireless body sensor networks, non-invasive health care solutions, physical layer security for wearable/implant communication.