Abstract

Video games, Virtual Reality (VR), Augmented Reality (AR), and Smart appliances (e.g., smart TVs and drones) all call for a new way for users to interact and control them. Motivated by this observation, we have developed a series of novel motion tracking technologies using acoustic signals. A unique feature of our approach is that it can achieve mm-level tracking accuracy on smartphones without special hardware. We further develop a few interesting applications on top of our motion tracking technology such as a follow-me drone and acoustic imaging on mobile phones.

Speaker Bio

Lili Qiu is a Professor at Computer Science Dept. in UT Austin. She got M.S. and PhD degrees in Computer Science from Cornell University in 1999 and 2001, respectively. After graduation, she spent 2001-2004 as a researcher at System & Networking Group in Microsoft Research Redmond. She joined UT Austin in 2005, and has founded a vibrant research group working on Internet and wireless networks at UT. She is an ACM Fellow and IEEE Fellow. She also got an NSF CAREER award and Google Faculty Research Award, and best paper awards at ACM MobiSys'18 and IEEE ICNP'17. She advised a PhD dissertation that won SIGMOBILE best dissertation award in 2020.