Liquid Level Sensing Using Commodity WiFi in a Smart Home Environment
Yili Ren, Sheng Tan, Linghan Zhang, Zi Wang, Zhi Wang, Jie Yang
Abstract
The popularity of Internet-of-Things (IoT) has provided us with unprecedented opportunities to enable a variety of emerging services in a smart home environment. Among those services, sensing the liquid level in a container is critical to building many smart home and mobile healthcare applications that improve the quality of life. This paper presents LiquidSense, 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. LiquidSense uses existing home WiFi network and a low-cost transducer that attached to the container to sense the resonance of the container for liquid level detection. In particular, our system mounts a low-cost transducer on the surface of the container and emits a well-designed chirp signal to make the container resonant, which introduces subtle changes to the home WiFi signals. By analyzing the subtle phase changes of the WiFi signals, LiquidSense extracts the resonance frequency as a feature for liquid level detection. Our system constructs prediction models for both continuous and discrete predictions using curve fitting and SVM respectively. We evaluate LiquidSense in home environments with containers of three different materials and six types of liquids. Results show that LiquidSense achieves an overall accuracy of 97% for continuous prediction and an overall F-score of 0.968 for discrete predication. Results also show that our system has a large coverage in a home environment and works well under non-line-of-sight (NLOS) scenarios.
CCS Concepts: • Human-centered computing → Ubiquitous and mobile computing systems and tools.
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Cited by top-tier papers5
- GoPose: 3D Human Pose Estimation Using WiFiYili Ren, Zi Wang, Yichao Wang, Sheng Tan et al.UbiComp 2022 · 100 citations
- Winect: 3D Human Pose Tracking for Free-form Activity Using Commodity WiFiYili Ren, Zi Wang, Sheng Tan, Yingying Chen et al.UbiComp 2022 · 52 citations
- SpaceBeat: Identity-aware Multi-person Vital Signs Monitoring Using Commodity WiFiBofan Li, Yili Ren, Yichao Wang, Jie YangUbiComp 2024 · 21 citations
- Multi-Subject 3D Human Mesh Construction Using Commodity WiFiYichao Wang, Yili Ren, Jie YangUbiComp 2024 · 4 citations
- Person Re-identification in 3D Space: A WiFi Vision-based ApproachYili Ren, Yichao Wang, Sheng Tan, Yingying Chen et al.USENIX Security 2023
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