Quality metric for camera-based pulse rate monitoring in fitness exercise

Wenjin Wang, Benoit Balmaekers, Gerard De Haan

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

21 Citations (Scopus)
1 Downloads (Pure)

Abstract

Camera-based remote pulse rate monitoring can be used during fitness exercise to optimize the effectiveness of a workout. However, such monitoring suffers from vigorous body motions and dynamic illumination changes due to exercise, which may lead to erroneous estimates. To better cope with this, we propose a quality metric, comprised of a front-end metric and a back-end metric, to indicate the monitoring conditions (e.g. luminance, skin property) and assess the reliability of pulse rate measurement (e.g. signal quality). The proposed quality metric has been thoroughly benchmarked on 78 videos recorded in a fitness setting. The experimental results show that (i) appropriate light source intensity variation and its angle variation in the front-end metric are critical indicators for pulse rate measurement accuracy, and (ii) the back-end metric can effectively indicate/reject unreliable estimates. The proposed method in this paper is the first quality metric for camera-based pulse rate monitoring, validated for the challenging use-case of fitness exercises.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings
Place of PublicationPhoenix, Arizona, USA
PublisherIEEE Computer Society
Pages2430-2434
Number of pages5
Volume2016-August
ISBN (Electronic)978-1-4673-9961-6
ISBN (Print)978-1-4673-9962-3
DOIs
Publication statusPublished - 3 Aug 2016
Event23rd IEEE International Conference on Image Processing (ICIP 2016) - Phoenix Convention Center, Phoenix, AZ, United States
Duration: 25 Sept 201628 Sept 2016
Conference number: 23
http://2016.ieeeicip.org/

Conference

Conference23rd IEEE International Conference on Image Processing (ICIP 2016)
Abbreviated titleICIP 2016
Country/TerritoryUnited States
CityPhoenix, AZ
Period25/09/1628/09/16
Internet address

Keywords

  • Biomedical monitoring
  • Fitness exercise
  • Pulse rate
  • Quality metric
  • Remote photoplethysmography

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