FG-LiquID
- 9 September 2021
- journal article
- research article
- Published by Association for Computing Machinery (ACM) in Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
- Vol. 5 (3), 1-27
- https://doi.org/10.1145/3478075
Abstract
Contact-less liquid identification via wireless sensing has diverse potential applications in our daily life, such as identifying alcohol content in liquids, distinguishing spoiled and fresh milk, and even detecting water contamination. Recent works have verified the feasibility of utilizing mmWave radar to perform coarse-grained material identification, e.g., discriminating liquid and carpet. However, they do not fully exploit the sensing limits of mmWave in terms of fine-grained material classification. In this paper, we propose FG-LiquID, an accurate and robust system for fine-grained liquid identification. To achieve the desired fine granularity, FG-LiquID first focuses on the small but informative region of the mmWave spectrum, so as to extract the most discriminative features of liquids. Then we design a novel neural network, which uncovers and leverages the hidden signal patterns across multiple antennas on mmWave sensors. In this way, FG-LiquID learns to calibrate signals and finally eliminate the adverse effect of location interference caused by minor displacement/rotation of the liquid container, which ensures robust identification towards daily usage scenarios. Extensive experimental results using a custom-build prototype demonstrate that FG-LiquID can accurately distinguish 30 different liquids with an average accuracy of 97%, under 5 different scenarios. More importantly, it can discriminate quite similar liquids, such as liquors with the difference of only 1% alcohol concentration by volume.Keywords
Funding Information
- the Funds for Creative Research Groups of China (61921003)
- NSFC (61720106007 and 61772084)
- the Youth Top Talent Support Program
- the 111 Project (B18008)
- BUPT Excellent Ph.D. Students Foundation (CX2021201)
This publication has 47 references indexed in Scilit:
- SoliACM Transactions on Graphics, 2016
- Monitoring vital signs using millimeter wavePublished by Association for Computing Machinery (ACM) ,2016
- Poster Abstract: Human Tracking and Activity Monitoring Using 60 GHz mmWavePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2016
- Reusing 60GHz Radios for Mobile Radar ImagingPublished by Association for Computing Machinery (ACM) ,2015
- Fine-grained recognition without part annotationsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2015
- 60GHz Mobile Imaging RadarPublished by Association for Computing Machinery (ACM) ,2015
- Identification and Quantification of Explosives in Nanolitre Solution Volumes by Raman Spectroscopy in Suspended Core Optical FibersSensors, 2013
- Sensing the Structural Differences in Cellulose from Apple and Bacterial Cell Wall Materials by Raman and FT-IR SpectroscopySensors, 2011
- Isopropyl alcohol intoxication: A diagnostic challengeAmerican Journal of Kidney Diseases, 2002
- THE DIELECTRIC CONSTANT OF MIXTURES OF ETHYL ALCOHOL AND WATER FROM -5 TO 40°Journal of the American Chemical Society, 1931