Jerry Cheng

TL;DR: The extensive experiments demonstrate that the system can accurately capture vital signs during sleep under realistic settings, and achieve comparable or even better performance comparing to traditional and existing approaches, which is a strong indication of providing non-invasive, continuous fine-grained vital signs monitoring without any additional cost.

TL;DR: This paper proposes to track the vital signs of both breathing rate and heart rate during sleep by using off-the-shelf WiFi without any wearable or dedicated devices, which has the potential to be widely deployed and perform continuous long-term monitoring.

TL;DR: This work devise a low-cost system exploiting a user’s pulsatile signals from the photoplethysmography sensor in commercial wrist-worn wearables for CA, which can authenticate users continuously based on their cardiac characteristics so little training effort is required.

TL;DR: This paper proposes to use location information, a physical property associated with each node, hard to falsify, and not reliant on cryptography, as the basis for detecting spoofing attacks; and develops an integrated detection and localization system that can localize the positions of multiple attackers.

TL;DR: This paper provides a comprehensive review on acoustic-based sensing in terms of hardware infrastructure, technical approaches, and its broad applications and describes different methodologies and techniques of using acoustic signals for sensing.