A Non-Intrusive Cyber Physical Social Sensing Solution to People Behavior Tracking: Mechanism, Prototype, and Field Experiments

Jia, Yunjian; Zhou, Zhenyu; Chen, Fei; Duan, Peng; Guo, Zhen; Mumtaz, Shahid

doi:10.3390/s17010143

Submit to this Journal Review for this Journal Edit a Special Issue

Article Menu

...

Open AccessArticle

A Non-Intrusive Cyber Physical Social Sensing Solution to People Behavior Tracking: Mechanism, Prototype, and Field Experiments

^1,*,

^2,*

¹,

¹,

³ and

⁴

College of Communication Engineering, Chongqing University, Chongqing 400044, China

School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China

Guoxin Tendering Group Co., Ltd., Beijing 100044, China

⁴

Instituto de Telecomunicações, Campus Universitário de Santiago, Aveiro 3810-193, Portugal

Authors to whom correspondence should be addressed.

Academic Editors: Mianxiong Dong, Zhi Liu, Anfeng Liu and Didier El Baz

Sensors 2017, 17(1), 143; https://doi.org/10.3390/s17010143

Received: 31 October 2016 / Revised: 21 December 2016 / Accepted: 21 December 2016 / Published: 13 January 2017

(This article belongs to the Special Issue New Paradigms in Cyber-Physical Social Sensing)

View Full-Text Download PDF

Browse Figures

Citation Export

Abstract

Tracking people’s behaviors is a main category of cyber physical social sensing (CPSS)-related people-centric applications. Most tracking methods utilize camera networks or sensors built into mobile devices such as global positioning system (GPS) and Bluetooth. In this article, we propose a non-intrusive wireless fidelity (Wi-Fi)-based tracking method. To show the feasibility, we target tracking people’s access behaviors in Wi-Fi networks, which has drawn a lot of interest from the academy and industry recently. Existing methods used for acquiring access traces either provide very limited visibility into media access control (MAC)-level transmission dynamics or sometimes are inflexible and costly. In this article, we present a passive CPSS system operating in a non-intrusive, flexible, and simplified manner to overcome above limitations. We have implemented the prototype on the off-the-shelf personal computer, and performed real-world deployment experiments. The experimental results show that the method is feasible, and people’s access behaviors can be correctly tracked within a one-second delay. View Full-Text

Keywords: passive cyber physical social sensing (CPSS); wireless fidelity (Wi-Fi); people behavior tracking; non-intrusive

▼ Show Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Share and Cite

MDPI and ACS Style

Jia, Y.; Zhou, Z.; Chen, F.; Duan, P.; Guo, Z.; Mumtaz, S. A Non-Intrusive Cyber Physical Social Sensing Solution to People Behavior Tracking: Mechanism, Prototype, and Field Experiments. Sensors 2017, 17, 143. https://doi.org/10.3390/s17010143

AMA Style

Jia Y, Zhou Z, Chen F, Duan P, Guo Z, Mumtaz S. A Non-Intrusive Cyber Physical Social Sensing Solution to People Behavior Tracking: Mechanism, Prototype, and Field Experiments. Sensors. 2017; 17(1):143. https://doi.org/10.3390/s17010143

Chicago/Turabian Style

Jia, Yunjian, Zhenyu Zhou, Fei Chen, Peng Duan, Zhen Guo, and Shahid Mumtaz. 2017. "A Non-Intrusive Cyber Physical Social Sensing Solution to People Behavior Tracking: Mechanism, Prototype, and Field Experiments" Sensors 17, no. 1: 143. https://doi.org/10.3390/s17010143

Find Other Styles

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Metrics

Abstract views Pdf views Html views

Article Menu

A Non-Intrusive Cyber Physical Social Sensing Solution to People Behavior Tracking: Mechanism, Prototype, and Field Experiments

Abstract

Share and Cite

Article Metrics

Article Access Statistics

Article Access Map by Country/Region

Further Information

Guidelines

MDPI Initiatives

Follow MDPI