Demo: Device-free Activity Monitoring Through Real-time Analysis on Prevalent WiFi Signals

Cong Shi, Justin Esposito, Sachin Mathew, Amit Patel, Rishika Sakhuja, Jian Liu, Yingying Chen

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

Abstract

In this demo, we present a device-free activity monitoring platform exploiting the prevalent WiFi signals to enable real-time activity recognition and user identification in indoor environments. It supports a broad array of real-world applications, such as senior assistance services, fitness tracking, and building surveillance. In particular, the proposed platform takes advantage of channel state information (CSI), which is sensitive to environmental changes introduced by human body movements. To enable immediate response of the platform, we design a real-time mechanism that continuously monitors the WiFi signals and promptly analyzes the CSI readings when the human activity is detected. For each detected activity, we extract representative features from CSI, and exploit a deep neural network (DNN) based scheme to accurately identify the activity type/user identity. Our experimental results demonstrate that the proposed platform could perform activity/user identification with high accuracy while offering low latency.

Original languageEnglish (US)
Title of host publication2019 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728123769
DOIs
StatePublished - Nov 2019
Externally publishedYes
Event2019 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2019 - Newark, United States
Duration: Nov 11 2019Nov 14 2019

Publication series

Name2019 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2019

Conference

Conference2019 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2019
Country/TerritoryUnited States
CityNewark
Period11/11/1911/14/19

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Safety, Risk, Reliability and Quality
  • Computer Networks and Communications

Keywords

  • Activity Monitoring
  • Channel State Information
  • WiFi

Fingerprint

Dive into the research topics of 'Demo: Device-free Activity Monitoring Through Real-time Analysis on Prevalent WiFi Signals'. Together they form a unique fingerprint.

Cite this