Publication Type
Journal Article
Version
publishedVersion
Publication Date
10-2017
Abstract
Even though indoor smoking ban is being put into practice in civilized countries, existing vision or sensor-based smoking detection methods cannot provide ubiquitous detection service. In this paper, we take the first attempt to build a ubiquitous passive smoking detection system, Smokey, which leverages the patterns smoking leaves on WiFi signal to identify the smoking activity even in the non-line-of-sight and throughwall environments. We study the behaviors of smokers and leverage the common features to recognize the series of motions during smoking, avoiding the target-dependent training set to achieve the high accuracy. We design a foreground detectionbased motion acquisition method to extract the meaningful information from multiple noisy subcarriers even influenced by posture changes. Without the requirement of target’s compliance, we leverage the rhythmical patterns of smoking to detect the smoking activities. We also leverage the diversity of multiple antennas to enhance the robustness of Smokey. Due to the convenience of integrating new antennas, Smokey is scalable in practice for ubiquitous smoking detection. We prototype Smokey with the commodity WiFi infrastructure and evaluate its performance in real environments. Experimental results show Smokey is accurate and robust in various scenarios.
Keywords
Smoking detection, non-intrusive, channel state information, ubiquitous
Discipline
Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
IEEE/ACM Transactions on Networking
Volume
25
Issue
6
First Page
3781
Last Page
3793
ISSN
1063-6692
Identifier
10.1109/TNET.2017.2752367
Publisher
Institute of Electrical and Electronics Engineers (IEEE) / Association for Computing Machinery (ACM)
Citation
ZHENG, Xiaolong; WANG, Jilian; SHANGGUAN, Longfei; ZHOU, Zimu; and LIU, Yunhao.
Design and implementation of a CSI-based ubiquitous smoking detection system. (2017). IEEE/ACM Transactions on Networking. 25, (6), 3781-3793.
Available at: https://ink.library.smu.edu.sg/sis_research/4880
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/TNET.2017.2752367