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This book is intended for researchers, engineers, and students who have an interest in designing acoustic sensing solutions on commodity devices. The authors provide an in-depth coverage of the basic building blocks, state-of-the-art algorithms for active acoustic sensing on commodity devices, design considerations, and novel applications they enable. The authors start by providing a comprehensive overview of diverse active acoustic sensing applications. They then discuss the fundamental acoustic signal processing and acoustic waveform design techniques. Finally, they delve deeply into three specific categories of acoustic sensing applications: aerial acoustic communication, spatial context awareness, and physiological and behavior sensing. Each category of applications is thoroughly examined, covering aspects such as motivation, problem setup, existing solutions, case studies, and open problems. Additionally, the authors provide reference implementations of key algorithms discussed in the book.
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Dr. Rong Zheng received her Ph.D. degree from Dept. of Computer Science, University of Illinois at Urbana-Champaign and earned her M.E. and B.E. in Electrical Engineering from Tsinghua University, P.R. China. She is currently a Professor in the Department of Computing and Software at McMaster University, Canada, where she also holds associate membership in the Department of Electrical and Computer Engineering and is affiliated with the School of Biomedical Engineering. Dr. Zheng holds a Tier 1 Canada Research Chair in Mobile Computing. Her research interests span mobile computing, data analytics, and networked systems. She leads a highly original and innovative research program that was recognized with the NSERC Discovery Accelerator Supplement in 2019. Her earlier accolades include the NSF CAREER Awardin 2006 and the Joseph Ip Distinguished Engineering Fellowship (2015–2018). Dr. Zheng has served on the editorial boards of the IEEE Transactions on Mobile Computing, IEEE Transactions on Network Science and Engineering, and IEEE Transactions on Wireless Communications. She was a member of the organizing committees for MobiSys 2020 and SenSys 2019, and has held technical leadership roles including Technical Program Co-Chair for WASA 2012, CPSCom 2012, MobileHealth 2014, CrowdSenSys 2017, IEEE Smart IoT 2020, and ACM SenSys 2021, as well as General Co-Chair for EUC 2016. She is an active member of the technical program committees of premier conferences in networking and mobile computing, including SenSys, INFOCOM, ICDCS, ICNP, RTSS, and IPSN.
Dr. Chao Cai is currently an associate professor at the College of Life Science and Technology, Huazhong University of Science and Technology. His research interest includes mobile sensing, deep learning, signal processing, embedded system design.
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