南京大学计算机软件新技术国家重点实验室

摘 要：

Being equipped with a large variety of sensors, modern smartphones have strong capabilities in monitoring their surroundings and adapting to the environmental changes. In this talk, we will demonstrate how the existing sensors on commodity smartphones could be used to invent new sensing modalities with specialized signal processing and pattern recognition techniques. First, we will show how a single digital magnetometer on smartphone could be utilized to passively eavesdrop the handwriting of a nearby stylus pen with an internal magnet, and the accuracy of such eavesdropping could be up to 90% over a distance of 20cm. Furthermore, we will show that the commodity smartphone’s speaker and microphone could be turned into an active sonar system, which allows many smart healthcare applications such as precise evaluation of human lung function. We will also share our experiences in tackling with the unexpected environmental dynamics and human factors, when developing these sensing methods.

报告人简介:

Wei Gao is currently an Associate Professor from the Department of Electrical and Computer Engineering at University of Pittsburgh. He received his PhD in Computer Science from the Pennsylvania State University. His research interests widely cover mobile and embedded computing systems, Internet of Things, mobile and connected health, wireless networking and edge computing. He is the recipient of NSF CAREER Award and the Best Paper Award of ACM CoNEXT 2019,  and has published more than 60 papers at top-tier journal and conference venues including ACM MobiCom, ACM MobiSys, ACM CoNEXT, ACM MobiHoc, ACM/IEEE IPSN, etc.