Acoustic Sensing on Commodity Devices and Its Applications
暫譯: 商品裝置上的聲學感測及其應用

Zheng, Rong, Cai, Chao

  • 出版商: Springer
  • 出版日期: 2025-07-26
  • 售價: $5,480
  • 貴賓價: 9.5$5,206
  • 語言: 英文
  • 頁數: 124
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3031968743
  • ISBN-13: 9783031968747
  • 相關分類: 物聯網 IoT
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

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.

  • Provides fundamental knowledge on designing acoustic sensing solutions for commodity devices;
  • Includes state-of-the-art practices and research on acoustic sensing and results in the field;
  • Features reference implementation of key algorithms.

商品描述(中文翻譯)

本書旨在為對在一般設備上設計聲學感測解決方案感興趣的研究人員、工程師和學生提供指導。作者深入探討了基本構建塊、在一般設備上進行主動聲學感測的最先進算法、設計考量以及這些技術所啟用的新應用。作者首先提供了多樣化主動聲學感測應用的全面概述。接著,他們討論了基本的聲學信號處理和聲學波形設計技術。最後,他們深入探討了三個特定類別的聲學感測應用:空中聲學通信、空間情境感知以及生理和行為感測。每個應用類別都進行了徹底的檢視,涵蓋了動機、問題設定、現有解決方案、案例研究和未解決的問題等方面。此外,作者還提供了書中討論的關鍵算法的參考實現。

- 提供有關為一般設備設計聲學感測解決方案的基本知識;
- 包含聲學感測的最先進實踐和研究以及該領域的成果;
- 特別提供關鍵算法的參考實現。

作者簡介

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.

作者簡介(中文翻譯)

鄭榮博士於伊利諾伊大學香檳分校計算機科學系獲得博士學位,並在中國清華大學獲得電機工程碩士及學士學位。她目前是加拿大麥克馬斯特大學計算與軟體系的教授,同時在電機與計算機工程系擔任副職,並與生物醫學工程學院有關聯。鄭博士擁有加拿大研究主席Tier 1的移動計算研究職位。她的研究興趣涵蓋移動計算、數據分析和網絡系統。她領導一個極具創新性和原創性的研究計劃,該計劃於2019年獲得NSERC發現加速器補助。她早期的榮譽包括2006年的NSF CAREER獎和2015至2018年的Joseph Ip傑出工程獎學金。鄭博士曾擔任IEEE移動計算學報IEEE網絡科學與工程學報IEEE無線通信學報的編輯委員會成員。她是MobiSys 2020和SenSys 2019的組織委員會成員,並擔任過技術領導角色,包括WASA 2012、CPSCom 2012、MobileHealth 2014、CrowdSenSys 2017、IEEE Smart IoT 2020和ACM SenSys 2021的技術程序共同主席,以及EUC 2016的總共同主席。她是網絡和移動計算領域頂尖會議的技術程序委員會的活躍成員,包括SenSys、INFOCOM、ICDCS、ICNP、RTSS和IPSN。

蔡超博士目前是華中科技大學生命科學與技術學院的副教授。他的研究興趣包括移動感測、深度學習、信號處理和嵌入式系統設計。