Ubiquitous WiFi and Acoustic Sensing: Principles, Technologies, and Applications
- PMID: 37016602
- PMCID: PMC10064623
- DOI: 10.1007/s11390-023-3073-5
Ubiquitous WiFi and Acoustic Sensing: Principles, Technologies, and Applications
Abstract
With the increasing pervasiveness of mobile devices such as smartphones, smart TVs, and wearables, smart sensing, transforming the physical world into digital information based on various sensing medias, has drawn researchers' great attention. Among different sensing medias, WiFi and acoustic signals stand out due to their ubiquity and zero hardware cost. Based on different basic principles, researchers have proposed different technologies for sensing applications with WiFi and acoustic signals covering human activity recognition, motion tracking, indoor localization, health monitoring, and the like. To enable readers to get a comprehensive understanding of ubiquitous wireless sensing, we conduct a survey of existing work to introduce their underlying principles, proposed technologies, and practical applications. Besides we also discuss some open issues of this research area. Our survey reals that as a promising research direction, WiFi and acoustic sensing technologies can bring about fancy applications, but still have limitations in hardware restriction, robustness, and applicability.
Supplementary information: The online version contains supplementary material available at 10.1007/s11390-023-3073-5.
Keywords: WiFi sensing; acoustic sensing; human activity recognition; human-computer interaction.
© Institute of Computing Technology, Chinese Academy of Sciences 2023.
References
-
- Bahl P, Padmanabhan V N. RADAR: An in-building RF-based user location and tracking system. In Proc. the 19th Annual Joint Conference of the IEEE Computer and Communications Societies, Mar. 2000. 10.1109/INFCOM.2000.832252.
-
- Halperin D, Hu WJ, Sheth A, Wetherall D. Tool release: Gathering 802.11n traces with channel state information. ACM SIGCOMM. Computer Communication Review. 2011;41(1):53. doi: 10.1145/1925861.1925870. - DOI
-
- Liu J, Wang Y, Chen Y Y, Yang J, Cheng J. Tracking vital signs during sleep leveraging off-the-shelf WiFi. In Proc. the 16th ACM International Symposium on Mobile Ad Hoc Networking and Computing, Jun. 2015, pp.267–276. 10.1145/2746285.2746303.
-
- Liu X F, Cao J N, Tang S J, Wen J Q. Wi-Sleep: Contactless sleep monitoring via WiFi signals. In Proc. the 2014 IEEE Real-Time Systems Symposium, Dec. 2014, pp.346–355. 10.1109/RTSS.2014.30.
-
- Wu C S, Yang Z, Zhou Z M, Liu X F, Liu Y H, Cao J N. Non-invasive detection of moving and stationary human with WiFi. IEEE Journal on Selected Areas in Communications, 2015, 33(11): 2329–2342. 10.1109/JSAC.2015.2430294.
LinkOut - more resources
Full Text Sources