Short-Range Micro-Motion Sensing with Radar Technology
Human hands are natural tools for performing actions and gestures that interact with the physical world. Radar technology allows for touchless wireless gesture sensing by transmitting radio frequency (RF) signals to the target, analyzing the backscattering reflections to extract the target's movements, and thereby accurately detecting gestures for Human Computer Interaction (HCI). A key advantage of this technology is that it allows interaction with machines without any need to attach a sensing device to the hands. Led by researchers from Google's Project Soli, the authors introduce the concept and underpinning technology, cover all design phases, and provide researchers and professionals with the latest advances and innovations in microwave and millimeter wave radar sensing to capture relative movements such as micro gestures.
About the Editors
Changzhan Gu is an Associate Professor at Shanghai Jiao Tong University, China. He was a Hardware Engineer at Google, where he was involved with Project Soli at Google Advanced Technology and Projects (ATAP) and consumer hardware products at Google Hardware. He got his PhD degree from Texas Tech University, MS degree from University of Florida, and MS/BS degrees from Zhejiang University. His research focus is on microwave radar sensing technologies and their various applications.
Jaime Lien is the Lead Research Engineer of Project Soli at Google Advanced Technology and Projects (ATAP), USA. She leads a technical team developing novel radar sensing techniques and systems for human perception and interaction. She holds a Ph.D. in Electrical Engineering from Stanford University and bachelor's and Master's degrees from MIT. Her research interests include radar signal processing and sensing algorithms; modeling and analysis of the underlying RF phenomena; and inference on radar data.
Changzhan Gu, Jaime Lien