Mobile
Device Based Tracking: Technology & Applications
NSF
Project CNS #1718585
Synopsis
Accurate tracking is essential to many applications,
including controlling video gaming, Virtual Reality (VR), Augmented Reality
(AR), and Smart Appliances. Motivated by these applications, this project aims
to develop accurate, fast, and robust motion tracking algorithms and apply it
to enable new applications, such as imaging, follow-me drones, and user
interfaces.
We develop novel audio based
tracking. Audio based tracking is attractive due to its slow propagation speed,
which makes it possible to achieve high accuracy. Moreover, it can be easily
generated and received by the speakers and microphones, which are already
available. In addition, it penetrates through obstacles and works without
line-of-sight and under different lighting conditions. Our technology not only
allows us to track a mobile device in real time, but also uses reflected signals
to track movement without any device.
The goal of the proposed research includes:
- Design algorithms and systems to track motion
- Develop applications that can leverage the motion
- Incorporate the research outcome in curriculum and
outreach.
Personnel
·
Wenguang Mao
·
Swadhin Pradhan
·
Wei Sun
·
Mei Wang
Publication
Outreach
- Keynote talks at various conferences. 2021
- Talk at IoT Seminar at MIT Fall 2020
- Talk at Texas A&M, 2019
- Talk at UW, 2018
- Talk at SIGMOBILE China,
2017
- Talk at Women Doing
Math, 2017
Talks at Samsung, Microsoft, Cisco, SXSW.