TY - JOUR
T1 - Acoustic sensing mechanisms, technologies, and applications
T2 - a survey
AU - Xu, Wei
AU - Wang, Zhu
AU - Guo, Yifan
AU - Ren, Zhihui
AU - Xu, Yandi
AU - Guo, Bin
AU - Yu, Zhiwen
AU - Zhou, Xingshe
N1 - Publisher Copyright:
© China Computer Federation (CCF) 2025.
PY - 2025
Y1 - 2025
N2 - With the rapid advancement of the Internet of Things (IoT) and the widespread use of smart devices, acoustic sensing technologies and applications have experienced notable development during the past decade. We survey the state-of-the-art acoustic sensing systems to understand the principles of acoustic sensing technologies better and explore future trends. Particularly, beginning with acoustic signals’ physical properties and sensing mechanisms, the survey gives a comprehensible review of core techniques, typical applications, and their performance outcomes. Firstly, the survey derives the core principles by analyzing the key components of acoustic sensing systems, based on which we group existing sensing technologies into two categories, i.e., channel state estimation and target state estimation. Then, according to the granularity of target activities, the survey divides acoustic sensing enabled applications into three categories, which are fine-grained signal detection, medium-grained motion sensing, and coarse-grained activity recognition. Accordingly, we find that different sensing techniques have distinct advantages and limitations across varied applications. Last but not the least, by discussing the challenges and open issues, the survey highlights several research opportunities for the next generation of acoustic sensing.
AB - With the rapid advancement of the Internet of Things (IoT) and the widespread use of smart devices, acoustic sensing technologies and applications have experienced notable development during the past decade. We survey the state-of-the-art acoustic sensing systems to understand the principles of acoustic sensing technologies better and explore future trends. Particularly, beginning with acoustic signals’ physical properties and sensing mechanisms, the survey gives a comprehensible review of core techniques, typical applications, and their performance outcomes. Firstly, the survey derives the core principles by analyzing the key components of acoustic sensing systems, based on which we group existing sensing technologies into two categories, i.e., channel state estimation and target state estimation. Then, according to the granularity of target activities, the survey divides acoustic sensing enabled applications into three categories, which are fine-grained signal detection, medium-grained motion sensing, and coarse-grained activity recognition. Accordingly, we find that different sensing techniques have distinct advantages and limitations across varied applications. Last but not the least, by discussing the challenges and open issues, the survey highlights several research opportunities for the next generation of acoustic sensing.
KW - Acoustic sensing
KW - Active sensing
KW - Activity recognition
KW - CFR (channel frequency response)
KW - CIR (channel impulse response)
KW - Doppler effect
KW - Motion sensing
KW - Passive sensing
KW - Signal detection
UR - https://www.scopus.com/pages/publications/105011839118
U2 - 10.1007/s42486-025-00193-0
DO - 10.1007/s42486-025-00193-0
M3 - 文章
AN - SCOPUS:105011839118
SN - 2524-521X
JO - CCF Transactions on Pervasive Computing and Interaction
JF - CCF Transactions on Pervasive Computing and Interaction
ER -