Robust and Practical WiFi Human Sensing Using On-device Learning with a Domain Adaptive Model

Elahe Soltanaghaei, Rahul Anand Sharma, Zehao Wang, Adarsh Chittilappilly, Anh Luong, Eric Giler, Katie Hall, Steve Elias, Anthony Rowe

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

Abstract

The ubiquity of WiFi devices combined with the ability to cover large areas, pass through walls, and detect subtle motions makes WiFi signals an ideal medium for sensing occupancy. While extremely promising, existing WiFi sensing solutions have not been rigorously tested outside of lab environments and don't often consider real-world constraints associated with non-expert installers, cost-effective platforms and long-term changes in the environment. This paper presents M-WiFi, a user-in-the-loop self-tuning framework for WiFi-based human presence detection with on-device learning and domain adaption capabilities that operates entirely on an embedded platform. M-WiFi robustly detects human presence by separating human-specific disturbances on WiFi signals from those of static objects, moving furniture or even pets. The high-level features of human presence are captured in an initial generalized classification model which adapts over time to a new building by selectively asking users to annotate a small number of critical time periods. We evaluate M-WiFi in 7 different houses, for a total of 100 days, with a mixture of pets and including periods of sleep and stationary activities. We show that our domain adaptive model can detect the human presence with an average accuracy of 90% in a completely new house after only 3 days of self-tuning and rapidly reaches a steady-state performance of 98% in long-term operations.

Original languageEnglish (US)
Title of host publicationBuildSys 2020 - Proceedings of the 7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation
PublisherAssociation for Computing Machinery
Pages150-159
Number of pages10
ISBN (Electronic)9781450380614
DOIs
StatePublished - Nov 18 2020
Externally publishedYes
Event7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, BuildSys 2020 - Virtual, Online, Japan
Duration: Nov 18 2020Nov 20 2020

Publication series

NameBuildSys 2020 - Proceedings of the 7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation

Conference

Conference7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, BuildSys 2020
Country/TerritoryJapan
CityVirtual, Online
Period11/18/2011/20/20

Keywords

  • CSI
  • human sensing
  • multipath propagation
  • WiFi

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Building and Construction
  • Architecture
  • Computer Networks and Communications
  • Information Systems

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