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research-article

Smokey: Ubiquitous smoking detection with commercial WiFi infrastructures

Authors:

Xiaolong Zheng,

Longfei Shangguan,

Yunhao LiuAuthors Info & Claims

IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications

Pages 1 - 9

https://doi.org/10.1109/INFOCOM.2016.7524399

Published: 01 April 2016 Publication History

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 smoking detection. In this paper, we take the first attempt to build a ubiquitous passive smoking detection system, which leverages the patterns smoking leaves on WiFi signals to identify the smoking activity even in the non-line-of-sight and through-wall 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 detection based motion acquisition method to extract the meaningful information from multiple noisy subcarriers even influenced by posture changes. Without requirements of target's compliance, we leverage the rhythmical patterns of smoking to reduce the detection false positives. 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.

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Digital Library

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Cited By

Wang ZGeng CSun ZChen ZLiu SGuo BYu Z(2024)Size Matters: Characterizing the Effect of Target Size on Wi-Fi Sensing Based on the Fresnel Zone ModelProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36997268:4(1-22)Online publication date: 21-Nov-2024
https://dl.acm.org/doi/10.1145/3699726
Xu LZheng XZhang YLiu LMa H(2024)WiCAM2.0: Imperceptible and Targeted Attack on Deep Learning based WiFi SensingACM Transactions on Sensor Networks10.1145/3698592Online publication date: 7-Oct-2024
https://dl.acm.org/doi/10.1145/3698592
Li JDavuluri KMottakin KSong ZDou FLu JGanesan DLane NShi W(2024)Proximal Federated Learning for Body Mass Index Monitoring using Commodity WiFiProceedings of the 30th Annual International Conference on Mobile Computing and Networking10.1145/3636534.3694735(2061-2065)Online publication date: 4-Dec-2024
https://dl.acm.org/doi/10.1145/3636534.3694735
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IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications

2697 pages

Copyright © 2016.

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IEEE Press

Publication History

Published: 01 April 2016

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Cited By

Wang ZGeng CSun ZChen ZLiu SGuo BYu Z(2024)Size Matters: Characterizing the Effect of Target Size on Wi-Fi Sensing Based on the Fresnel Zone ModelProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36997268:4(1-22)Online publication date: 21-Nov-2024
https://dl.acm.org/doi/10.1145/3699726
Xu LZheng XZhang YLiu LMa H(2024)WiCAM2.0: Imperceptible and Targeted Attack on Deep Learning based WiFi SensingACM Transactions on Sensor Networks10.1145/3698592Online publication date: 7-Oct-2024
https://dl.acm.org/doi/10.1145/3698592
Li JDavuluri KMottakin KSong ZDou FLu JGanesan DLane NShi W(2024)Proximal Federated Learning for Body Mass Index Monitoring using Commodity WiFiProceedings of the 30th Annual International Conference on Mobile Computing and Networking10.1145/3636534.3694735(2061-2065)Online publication date: 4-Dec-2024
https://dl.acm.org/doi/10.1145/3636534.3694735
Sheng BLi JGui LGuo ZXiao F(2024)LiteWiSys: A Lightweight System for WiFi-based Dual-task Action PerceptionACM Transactions on Sensor Networks10.1145/363217720:4(1-19)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3632177
Li YZhou HFeng JLi XXu XHou PHu X(2024)An improved smoking behavior detection algorithm via incorporating an interference information filtering networkEngineering Applications of Artificial Intelligence10.1016/j.engappai.2024.109050136:PBOnline publication date: 1-Oct-2024
https://dl.acm.org/doi/10.1016/j.engappai.2024.109050
Sun YHe YZhang JNa XChen YWang WGuo XEskicioglu RHuang PPatwari N(2023)BIFROST: Reinventing WiFi Signals Based on Dispersion Effect for Accurate Indoor LocalizationProceedings of the 21st ACM Conference on Embedded Networked Sensor Systems10.1145/3625687.3625786(376-389)Online publication date: 12-Nov-2023
https://dl.acm.org/doi/10.1145/3625687.3625786
Li CCao ZLiu Y(2021)Deep AI Enabled Ubiquitous Wireless SensingACM Computing Surveys10.1145/343672954:2(1-35)Online publication date: 8-Mar-2021
https://dl.acm.org/doi/10.1145/3436729
Cabanto WJocson ALateo RDe Goma J(2019)Real-Time Multi-Person Smoking Event DetectionProceedings of the 2nd International Conference on Computing and Big Data10.1145/3366650.3366678(126-130)Online publication date: 18-Oct-2019
https://dl.acm.org/doi/10.1145/3366650.3366678
Ma YZhou GWang S(2019)WiFi Sensing with Channel State InformationACM Computing Surveys10.1145/331019452:3(1-36)Online publication date: 18-Jun-2019
https://dl.acm.org/doi/10.1145/3310194
Cheng LWang J(2019)Walls Have No EarsIEEE/ACM Transactions on Networking10.1109/TNET.2018.288641127:1(245-257)Online publication date: 1-Feb-2019
https://dl.acm.org/doi/10.1109/TNET.2018.2886411

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