Zoom: https://illinois.zoom.us/j/88596041315?pwd=pQbEDzgbSUn1E25eHb2jwowshFnsle.1
Abstract:
Computing has continuously evolved to better understand and assist us in daily life, from desktops to smartphones, and now to wearables. However, current wearables remain intrusive; smartwatches can feel bulky, and their wrist placement limits accuracy and functionality. My research advances this evolution by creating the next generation of wearables–transforming everyday accessories into intelligent systems that become subtly part of the user while unlocking new insights and applications, particularly in health and wellness, that were previously challenging or even impossible to achieve.
In this talk, I will introduce three novel wearables that ensure long-term comfort by preserving their original form factors and achieving month-long battery life. Thermal Earring demonstrates how leveraging a new sensing site significantly improves physiological monitoring accuracy, unlocking new applications for daily wellness. PPG Earring highlights how optimizing system design enhances temporal coverage, allowing for more continuous sensing that current wearables are often interrupted in daily life. ECG Necklace explores how rethinking form factors can enable clinical-grade sensing capabilities that traditional wearables cannot achieve. I will conclude by discussing future directions for broadening the scope of wearable space and expanding the health intelligence of these devices.
Bio:
Qiuyue (Shirley) Xue is a Ph.D. candidate in Computer Science & Engineering at the University of Washington, advised by Shwetak Patel and Vikram Iyer. Her research focuses on creating novel, ultra-compact, and low-power wearable systems for advanced human sensing and understanding, particularly in health and well-being applications. Her work has received extensive media coverage, led to multiple patents, and was awarded the UW CoMotion Gap Fund to support further commercialization. She has collaborated with leading industry groups, including Microsoft Research, Apple AI/ML, and Google Health. Her internship work at Google was directly integrated as a feature in Google Smart Home devices.
Faculty Host: Ranjitha Kumar
Meeting ID: 885 9604 1315; Password: csillinois