WiDMove: Sensing Movement Direction Using IEEE 802.11n Interfaces

Bruno Soaresda Silva, Gustavo Teodorolaureano, Abdallah S. Abdallah, Kleber Vieiracardoso

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The accurate detection of people in indoor environments requires high-cost devices, while low-cost devices, in addition to low accuracy, offer little information about the monitored events. The perturbations that result from indoor movements affect the signals received by 802.11 interfaces. Hence, an 802.11 device becomes a widely available, low-cost, and reasonably accurate solution for several applications. This paper presents WiDMove, a proposed technique to detect the entry and exit of persons, within an indoor environment, using the channel state information (CSI) measurements, which is provided by the IEEE 802.11n compliant devices. Based on the gathered CSI measurements, we utilized frequency-time analysis methodology to build an efficient features vector based on Short-Time Fourier Transform (STFT) and Principal Component Analysis (PCA). We used the extracted features to train and develop a Support Vector Machine (SVM) classifier, which provided very promising initial results. Our initial results have an accuracy near 80 %.

Original languageEnglish (US)
Title of host publication2018 IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781538624104
DOIs
Publication statusPublished - Aug 27 2018
Event2018 IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2018 - Quebec City, Canada
Duration: May 13 2018May 16 2018

Publication series

NameCanadian Conference on Electrical and Computer Engineering
Volume2018-May
ISSN (Print)0840-7789

Other

Other2018 IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2018
CountryCanada
CityQuebec City
Period5/13/185/16/18

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All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Electrical and Electronic Engineering

Cite this

Soaresda Silva, B., Teodorolaureano, G., Abdallah, A. S., & Vieiracardoso, K. (2018). WiDMove: Sensing Movement Direction Using IEEE 802.11n Interfaces. In 2018 IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2018 [8447627] (Canadian Conference on Electrical and Computer Engineering; Vol. 2018-May). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCECE.2018.8447627