Skip to main navigation Skip to search Skip to main content

Soft Fall Detection Using Frequency Modulated Continuous Wave Radar And Regional Power Burst Curve

  • Bo Wang
  • , Yongxin Guo*
  • *Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

The worldwide aging tendency arises the demand for technologies that can detect fall motions of elder people. The radar-based methods are considered one of the optimum solutions to indoor fall detection problems. In this paper, a millimeter-wave frequency modulated continuous wave (FMCW) radar-based fall detection method using the regional power burst curve (rPBC) is proposed. The soft fall motions, which were not considered in most previous literature, are studied. A support vector machine (SVM) is used to distinguish fall motions from others. The experimental results prove the feasibility of the proposed method in detecting soft and sudden fall motions. © 2022 IEICE.
Original languageEnglish
Title of host publication2022 Asia-Pacific Microwave Conference Proceedings
PublisherIEEE
Pages240-242
ISBN (Electronic)978-4-902339-56-7
ISBN (Print)978-1-6654-5108-6
DOIs
Publication statusPublished - Nov 2022
Externally publishedYes
Event2022 Asia-Pacific Microwave Conference (APMC 2022) - Hybrid, Yokohama, Japan
Duration: 29 Nov 20222 Dec 2022

Publication series

NameAsia-Pacific Microwave Conference Proceedings, APMC

Conference

Conference2022 Asia-Pacific Microwave Conference (APMC 2022)
Abbreviated titleAPMC2022
PlaceJapan
CityYokohama
Period29/11/222/12/22

Research Keywords

  • FMCW radar
  • power burst curve
  • Soft fall detection
  • support vector machine

Fingerprint

Dive into the research topics of 'Soft Fall Detection Using Frequency Modulated Continuous Wave Radar And Regional Power Burst Curve'. Together they form a unique fingerprint.

Cite this