Event
Ph.D. Research Proposal Exam: Yuqian Hu
Tuesday, April 13, 2021
12:00 p.m.
Zoom meeting: https://umd.zoom.us/j/2902504036
Maria Hoo
301 405 3681
mch@umd.edu
ANNOUNCEMENT: Remote Ph.D. Research Proposal Exam
Name: Yuqian Hu
Committee:
Professor K. J. Ray Liu (Chair)
Professor Min Wu
Professor Furong Huang
Date/time: Tuesday, April 13, 2021, 12:00pm-14:00pm
Location: Zoom meeting: https://umd.zoom.us/j/2902504036
Title: Wireless Sensing for Activity Monitoring and Detection
Abstract:
As people spend more time indoors nowadays, understanding their indoor activities, from body-level activities such as fall to micro motions like keystroke, becomes essential in modern smart homes and health care. However, existing wearable and vision-based activity detection systems suffer from their obtrusiveness and privacy invasion. Inspired by the fact that radio frequency (RF) signals contain the information of the propagation environments, wireless sensing brings the promise of monitoring indoor activities in a non-obtrusive way without invading user privacy. Thanks to the rapid development of internet-of-things (IoT) technologies, wireless sensing has offered plenty of emerging wireless IoT applications, especially by leveraging ambient radios, e.g., WiFi, LTE, and millimeter-wave (mmWave). In the preliminary works, we first implemented a novel WiFi-based environment-independent fall detection system by extracting the speed information inherently associated with human falls. Extensive experiments demonstrate the efficiency and robustness of our fall detector in different time-varying environments. Moreover, by exploring the high directionality of mmWave, we designed a novel signal processing pipeline to recognize keystrokes and developed a universal virtual keyboard system that enables precise concurrent keystrokes recognition on any user-customized layouts. For the proposed research, we will further investigate the problem of using commercial radios to detect the proximity of motion and recognize activities to extend the scope of the existing RF-based activity monitoring and detection.