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RF sensing has emerged as a powerful tool for contactless monitoring of human activities, offering advantages over cameras and wearable devices in terms of privacy and convenience. Recent developments in Wi-Fi and mmWave technologies enable fine-grained tracking and micro-movement detection in everyday environments. This presentation highlights recent advances in our RF sensing platforms, including a CSI-based tracking system that leverages distributed Wi-Fi nodes and particle filtering for device-free human localization and movement detection. In addition, a 60 GHz mmWave radar prototype is introduced, designed with high sensitivity to capture micro body movements such as hand tremors.
Dr Wenda Li is an Assistant Professor in Wireless Communication at the Institute of Sensors, Signals, and Systems, Heriot-Watt University. He previously held a lectureship in Biomedical Engineering at the University of Dundee (2022–2023), and before that was a Research Fellow at University College London (2019–2022) and the University of Birmingham (2018–2019). He earned his PhD in 2018 from the University of Bristol and an MEng from the same institution in 2013. His research focuses on signal processing for passive rada, high-speed digital system design, and wireless sensing applications among healthcare, security, and positioning.