A comparative study of common steps in video-based remote heart rate detection methods

Lakmini Malasinghe, Stamos Katsigiannis*, Keshav Dahal, Naeem Ramzan

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    4 Citations (Scopus)
    46 Downloads (Pure)

    Abstract

    Video-based remote heart rate detection is a promising technology that can offer convenient and low-cost heart rate monitoring within, but not limited to, the clinical environment, especially when attaching electrodes or pulse oximeters on a person is not possible or convenient. In this work, we examined common steps used in video-based remote heart rate detection algorithms, in order to evaluate their effect on the overall performance of the remote heart rate detection pipeline. Various parameters of the examined methods were evaluated on three public and one proprietary dataset in order to establish a video-based remote heart rate detection pipeline that provides the most balanced performance across various diverse datasets. The experimental evaluation demonstrated the effect and contribution of each step and parameter set on the estimation of the heart rate, resulting in an optimal configuration that achieved a best RMSE value of 9.51.
    Original languageEnglish
    Article number117867
    Number of pages13
    JournalExpert Systems with Applications
    Volume207
    Early online date22 Jun 2022
    DOIs
    Publication statusPublished - 30 Nov 2022

    Keywords

    • remote heart rate detection
    • video-based heart rate detection

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