Next Article in Journal
Thermal Treatment of Aerosol Deposited NiMn2O4 NTC Thermistors for Improved Aging Stability
Previous Article in Journal
A Novel Framework and Enhanced QoS Big Data Protocol for Smart City Applications
Open AccessArticle

A Novel Device-Free Counting Method Based on Channel Status Information

by 1,2, 1, 1,2,*, 1,2 and 1,2
1
School of Computer Science and Engineering, Xi’an University of Technology, Xi’an 710048, China
2
Shaanxi Key Laboratory for Network Computing and Security Technology, Xi’an 710048, China
*
Author to whom correspondence should be addressed.
Sensors 2018, 18(11), 3981; https://doi.org/10.3390/s18113981
Received: 1 August 2018 / Revised: 4 November 2018 / Accepted: 12 November 2018 / Published: 15 November 2018
(This article belongs to the Section Internet of Things)
Crowd counting is of significant importance for numerous applications, e.g., urban security, intelligent surveillance and crowd management. Existing crowd counting methods typically require specialized hardware deployment and strict operating conditions, thereby hindering their widespread application. To acquire a more effective crowd counting approach, a device-free counting method based on Channel Status Information (CSI) is proposed. The wavelet domain denoising is introduced to mitigate environment noise. Furthermore, the amplitude or phase covariance matrix is extracted as the eigenmatrix. Moreover, both the spatial diversity and frequency diversity are leveraged to improve detection robustness. At the same experimental environment, the accuracy of the proposed CSI-based method is compared with a renowned crowd counting one, i.e., Electronic Frog Eye: Counting Crowd Using WiFi (FCC). The experimental results reveal an accuracy improvement of 30% over FCC. View Full-Text
Keywords: wavelet domain denoising; covariance matrix; spatial diversity; frequency diversity; robustness wavelet domain denoising; covariance matrix; spatial diversity; frequency diversity; robustness
Show Figures

Figure 1

MDPI and ACS Style

Li, J.; Tu, P.; Wang, H.; Wang, K.; Yu, L. A Novel Device-Free Counting Method Based on Channel Status Information. Sensors 2018, 18, 3981.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map

1
Back to TopTop