Title: Computational Wireless Sensing at Scale
Adviser: Shyamnath Gollakota
Supervisory Committee: Shyamnath Gollakota (Chair), Anind Dey (GSR, iSchool), Jacob Sunshine, Victor Bahl (Microsoft) and Katharina Reinecke
Abstract: Computational wireless sensing is an exciting field of research where we use wireless signals from everyday computing devices to enable sensing. The key challenge is to enable new sensing capabilities that can be deployed at scale and have an impact in the real world. In this talk, I will show how to enable computational wireless sensing at scale by leveraging ubiquitous hardware such as smartphones. Specifically, I will present core technology that can wirelessly sense finger motion and physiological signals such as breathing using just a smartphone, in a contactless manner. To achieve this, we transform smartphones into active sonar systems. I will show how we can use this technology to enable new input methods for devices and detect potentially life-threatening conditions such as opioid overdoses as well as sleep apnea. Finally, I will briefly talk about building a browser based tool that can detect minute motion across different platforms for large scale online studies.