Wireless AI Perception: A New Sense for Machine Intelligence Beyond Vision
직함: [seminar] Wireless AI Perception: A New Sense for Machine Intelligence Beyond Vision
Can machines sense without cameras or sensors? Computer vision allows machines to “see,” but their perception capabilities based on cameras are fundamentally limited to a specific field of view and good lighting conditions – they cannot see through any occlusions or in the dark. In this talk, I will introduce Wireless AI Perception that opens a new sense for machine perception to decipher the physical world, even in absolute darkness and through walls and obstacles. To achieve this, Wireless AI leverages ambient wireless signals for sensing and turns any Wi-Fi devices from a pure communication medium into a ubiquitous all-in-one sensing platform. We will first introduce the concepts, principles, and grand challenges of wireless sensing, and then share our unique solution of Wireless AI, which has been commercialized and deployed as real-world applications and award-winning products, such as motion sensing, sleep monitoring, fall detection, indoor tracking, just to name a few. We will conclude this talk by extending Wireless AI to statistical acoustic sensing for in-cabin automotive AI.
Dr. Chenshu Wu is an Assistant Professor in the Department of Computer Science, The University of Hong Kong, where he leads the HKU AIoT Lab. He also consults as the Chief Scientist for Origin Wireless Inc., a spotlight Wi-Fi sensing company. His research focuses on wireless and mobile AIoT systems at the intersection of wireless sensing, ubiquitous computing, smart healthcare, and the Internet of Things. He has published 3 books and 90+ papers in prestigious conferences and journals like SIGCOMM, NSDI, MobiCom, MobiSys, UbiComp, with several best paper awards. He holds 60+ filed/granted US and international patents. His research has been deployed as award-winning products worldwide. He is a recipient of NSF China Excellent Young Scientists Fund (HK & Macau), NAM Healthy Longevity Catalyst Award, and CCF Outstanding Doctoral Dissertation Award. He received his B.S. and Ph.D. degrees both from Tsinghua University. More information at cswu.me