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Detection of Heart Rate and Respiratory Rate from Facial Video Using Eulerian Motion Analysis and Kalman Filtering

  • Luis Alberto Chavarría Zamora
  • , Luis Felipe Jiménez Ulate
  • , Carlos Eduardo Rodríguez Segura
  • , Pablo Soto-Quiros
  • Costa Rica Institute of Technology

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

Abstract

This paper presents a preliminary study on a contactless system for estimating heart rate (BPM) and respiratory rate (RPM) using standard RGB video. Eulerian motion magnification detects subtle facial color changes for heart rate, while motion analysis with Kalman filtering enables respiratory rate detection. Validated on three subjects (ages 1824), the system achieves BPM error rates of 5.14-12.13% (mean absolute error 5.6BPM) and RPM error rates of 2.70-9.68% (MAE ≤ 2 RPM) compared to reference measurements. This low-cost, non-invasive approach shows potential for remote vital sign screening applications.

Original languageEnglish
Title of host publication2026 6th International Conference on Innovative Research in Applied Science, Engineering and Technology, IRASET 2026
EditorsBachir Benhala, Abdelhadi Raihani, Mohammed Qbadou
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331545178
DOIs
StatePublished - 2026
Event6th International Conference on Innovative Research in Applied Science, Engineering and Technology, IRASET 2026 - Fez, Morocco
Duration: 14 May 202615 May 2026

Publication series

Name2026 6th International Conference on Innovative Research in Applied Science, Engineering and Technology, IRASET 2026

Conference

Conference6th International Conference on Innovative Research in Applied Science, Engineering and Technology, IRASET 2026
Country/TerritoryMorocco
CityFez
Period14/05/2615/05/26

Keywords

  • Contactless monitoring
  • Eulerian video magnification
  • Kalman filter
  • heart rate estimation
  • photoplethysmography
  • respiratory rate detection
  • videobased vital signs

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