Fine-grained vital signs estimation using commercial Wi-Fi devices

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Scopus citations

Abstract

Due to the importance of vital signs, breathing rate and heart rate have been widely used in heath care. In the past few years, various systems and approaches have been proposed to detect and monitor breath and heart beat. In this paper, we show that Wi-Fi signals can also be used to recognize and count breath and heart beats with different postures. The intuition is that human activities have different impacts on time-series of Channel State Information (CSI) values, which can be utilized to recognize macro and micro human activities. In this paper, we design a Wi-Fi signal based breath and heart beats recognition system called Wi-Health. WiHeath consists of two Commercial Off-The-Shelf (COTS) Wi-Fi devices, a sender (Wi-Fi router) and a receiver (laptop). The sender sends 802.11n packets to the receiver, while the receiver continuously receives these packets and records in real-time CSI value. The receiver analyzes the collected CSI values and determines if the human is alive and the number of heart beats and breaths.

Original languageEnglish
Title of host publicationProceedings of the 8th Wireless of the Students, by the Students, and for the Students Workshop, S3
PublisherAssociation for Computing Machinery
Pages30-32
Number of pages3
ISBN (Electronic)9781450342551
DOIs
StatePublished - 3 Oct 2016
Event8th Wireless of the Students, by the Students, and for the Students Workshop, S3 - New York, United States
Duration: 3 Oct 20167 Oct 2016

Publication series

NameProceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM
Volume03-07-October-2016

Conference

Conference8th Wireless of the Students, by the Students, and for the Students Workshop, S3
Country/TerritoryUnited States
CityNew York
Period3/10/167/10/16

Keywords

  • Human activity recognition
  • Signal processing

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