Liquid level detection using wireless signals

Yili Ren, Zi Wang, Beiyu Wang, Sheng Tan, Jie Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Sensing the liquid level in a container is critical to building many smart home and mobile healthcare applications. This paper presents a liquid level sensing system that is low-cost, high accuracy, widely applicable to different daily liquids and containers, and can be easily integrated with existing smart home networks. Our system uses an existing home WiFi network and a low-cost transducer that is attached to the container to sense the resonance of the container for liquid level detection. We evaluate our system in home environments with various containers and liquids. Preliminary results show that our system achieves an accuracy of 97% for continuous prediction and an F-score of 0.968 for discrete prediction.

Original languageEnglish (US)
Title of host publicationMobiSys 2022 - Proceedings of the 2022 20th Annual International Conference on Mobile Systems, Applications and Services
PublisherAssociation for Computing Machinery, Inc
Pages521-522
Number of pages2
ISBN (Electronic)9781450391856
DOIs
StatePublished - Jun 27 2022
Externally publishedYes
Event20th ACM International Conference on Mobile Systems, Applications and Services, MobiSys 2022 - Portland, United States
Duration: Jun 27 2022Jul 1 2022

Publication series

NameMobiSys 2022 - Proceedings of the 2022 20th Annual International Conference on Mobile Systems, Applications and Services

Conference

Conference20th ACM International Conference on Mobile Systems, Applications and Services, MobiSys 2022
Country/TerritoryUnited States
CityPortland
Period6/27/227/1/22

Keywords

  • channel state information (CSI)
  • liquid sensing
  • smart home

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

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