Short-Range Micro-Motion Sensing with Radar Technology
Institution of Engineering and Technology (Verlag)
978-1-78561-760-7 (ISBN)
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.
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.
Chapter 1: Introduction
Chapter 2: Proximity RF/microwave biosensor techniques for vital sign detection
Chapter 3: Wi-Fi-based sensing for gesture control applications
Chapter 4: Hand gesture recognition based on SIMO Doppler radar sensors
Chapter 5: FMCW radar systems for short-range micro-motion sensing
Chapter 6: Noncontact noninvasive monitoring of small laboratory animal's vital sign activities using a 60-GHz radar
Chapter 7: Dynamic monopulse radar sensor for indoor positioning and surgical instrument positioning
Chapter 8: Noncontact healthy status sensing using low-power digital-IF Doppler radar
Chapter 9: Radar measurement of the angular velocity of moving objects
Chapter 10: Continuous-wave radar sensor for structural displacement monitoring
Chapter 11: Short-distance radar sensing application
Chapter 12: Micro-Doppler signatures for sensing micro-motion
Chapter 13: Repurposing millimeter-wave communication devices for high-precision wireless sensing
Chapter 14: Conclusion
| Erscheinungsdatum | 22.08.2019 |
|---|---|
| Reihe/Serie | Control, Robotics and Sensors |
| Verlagsort | Stevenage |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Themenwelt | Mathematik / Informatik ► Informatik |
| Technik ► Nachrichtentechnik | |
| ISBN-10 | 1-78561-760-5 / 1785617605 |
| ISBN-13 | 978-1-78561-760-7 / 9781785617607 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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