Translation resilient opportunistic WiFi sensing

Mohammud J. Bocus, Wenda Li, Jonas Paulavicius, Ryan McConville, Raul Santos-Rodriguez, Kevin Chetty, Robert Piechocki

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

9 Citations (Scopus)
28 Downloads (Pure)

Abstract

Passive wireless sensing using WiFi signals has become a very active area of research over the past few years. Such techniques provide a cost-effective and non-intrusive solution for human activity sensing especially in healthcare applications. One of the main approaches used in wireless sensing is based on fine-grained WiFi Channel State Information (CSI) which can be extracted from commercial Network Interface Cards (NICs). In this paper, we present a new signal processing pipeline required for effective wireless sensing. An experiment involving five participants performing six different activities was carried out in an office space to evaluate the performance of activity recognition using WiFi CSI in different physical layouts. Experimental results show that the CSI system has the best detection performance when activities are performed half-way in between the transmitter and receiver in a line-of-sight (LoS) setting. In this case, an accuracy as high as 91% is achieved while the accuracy for the case where the transmitter and receiver are co-located is around 62%. As for the case when data from all layouts is combined, which better reflects the real-world scenario, the accuracy is around 67%. The results showed that the activity detection performance is dependent not only on the locations of the transmitter and receiver but also on the positioning of the person performing the activity.
Original languageEnglish
Title of host publicationProceedings of ICPR 2020
Subtitle of host publication25th International Conference on Pattern Recognition
Place of PublicationMilan
PublisherIEEE
Pages5627-5633
Number of pages7
ISBN (Electronic)9781728188089
ISBN (Print)9781728188096
DOIs
Publication statusPublished - 5 May 2021
Event25th International Conference on Pattern Recognition - Virtual, Milan, Italy
Duration: 10 Jan 202115 Jan 2021

Publication series

Name
ISSN (Print)1051-4651

Conference

Conference25th International Conference on Pattern Recognition
Abbreviated titleICPR 2020
Country/TerritoryItaly
CityVirtual, Milan
Period10/01/2115/01/21

Keywords

  • Wireless communication
  • Wireless sensor networks
  • Transmitters
  • Layout
  • Pipelines
  • Receivers
  • Activity recognition

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