LoDiHAR: A Low-Cost Distributed Human Activity Recognition System Based on RFID

Xiaoqi Sun, Yanwen Wang, Chenwei Zhang, Zheng Wang, Xiaokang Shi, Yuanqing Zheng

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Human Activity Recognition has been extensively applied to fulfill tasks such as fall detection, human-computer interaction, virtual reality, etc. Existing radio frequency-based HAR methods, although overcoming limitations of wearable-, visual-, and acoustic-based sensing technology, still suffer from high costs and low efficiency, which limits their pervasive use. In this paper, we propose LoDiHAR, a low-cost, distributed HAR system leveraging Radio Frequency Identification technology. LoDiHAR employs low-cost and fully programmable commercial wireless components, providing full access to the PHY samples of the backscattered signals, in which signal phases can be extracted to infer different activities. Different from COTS RFID systems that adopt a polling interrogation scheme, LoDiHAR supports a distributed sensing scheme, which profiles human activities more efficiently. LoDiHAR addresses a series of technical challenges such as accurate phase extraction from backscattered signals, asynchronous distributed RF data fusion and insufficient training data. A Conditional Generative Adversarial Network framework combined with a Transformer model is designed for accurate time-series activity classification. LoDiHAR demonstrates proficiency in recognizing eight types of human activities across diverse environments, achieving an accuracy of up to 94.9% while only costing 10% of the mainstream COTS RFID systems.

Original languageEnglish
Title of host publication2024 21st Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2024
PublisherIEEE Computer Society
ISBN (Electronic)9798331519186
DOIs
Publication statusPublished - 2024
Event21st Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2024 - Phoenix, United States
Duration: 2 Dec 20244 Dec 2024

Publication series

NameAnnual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks workshops
ISSN (Print)2155-5486
ISSN (Electronic)2155-5494

Conference

Conference21st Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2024
Country/TerritoryUnited States
CityPhoenix
Period2/12/244/12/24

Keywords

  • data augmentation
  • distributed sensing
  • low-cost
  • RFID

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Electrical and Electronic Engineering

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