Camera-Augmented Non-Contact Vital Sign Monitoring in Real Time

Arash Shokouhmand, Samuel Eckstrom, Behnood Gholami, Negar Tavassolian

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

This study develops a camera-guided frequency-modulated continuous-wave (FMCW) radar to monitor vital signs. A red-green-blue-depth (RGB-D) camera estimates the human torso landmarks and a processing unit constantly adapts the radar beams to the direction of the subjects. To constantly optimize the regions of interest for monitoring respiratory rate (RR) and heart rate (HR), a novel method, coined 'singular value-based point detection (SVPD),' is designed. Vital sign extraction is then followed as the last step. Experiments are conducted for the cases of single-subject (10 subjects, 31 scenarios, and 1550 repetitions) and dual-subject monitoring (6 subjects, 6 scenarios, and 90 repetitions). Average (RR, HR) accuracies of (97.68%, 85.88%), (90.02%, 86.05%), (96.71%, 89.50%), and (97.52%, 86.71%) are achieved for the range of distances (0.5-2.5 m), azimuth angles (0°-30°), elevation angles (-30°-+30°), and incident angles (-30°-+30°), respectively. The higher chest and upper abdomen are determined as the optimal regions for RR and HR estimation respectively, with average accuracies of 98.31% and 86.93%. Finally, the capability of dual-subject monitoring at various inter-subject distances (range of 20-70 cm) is confirmed with average accuracies of 92.26% and 73.23% for RR and HR respectively.

Original languageEnglish
Pages (from-to)11965-11978
Number of pages14
JournalIEEE Sensors Journal
Volume22
Issue number12
DOIs
StatePublished - 15 Jun 2022

Keywords

  • FMCW radar
  • RGB-D camera
  • non-contact monitoring
  • real-time vital sign monitoring
  • sensor fusion

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