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Accuracy Evaluation of Remote Photoplethysmography Estimations of Heart Rate in Gaming Sessions with Natural Behavior

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Advances in Computer Entertainment Technology (ACE 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10714))

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Abstract

Remote photoplethysmography (rPPG) can be used to remotely estimate heart rate (HR) of users to infer their emotional state. However natural body movement and facial actions of users significantly impact such techniques, so their reliability within contexts involving natural behavior must be checked. We present an experiment focused on the accuracy evaluation of an established rPPG technique in a gaming context. The technique was applied to estimate the HR of subjects behaving naturally in gaming sessions whose games were carefully designed to be casual-themed, similar to off-the-shelf games and have a difficulty level that linearly progresses from a boring to a stressful state. Estimations presented mean error of 2.99 bpm and Pearson correlation \(r=0.43\), \(p < 0.001\), however with significant variations among subjects. Our experiment is the first to measure the accuracy of an rPPG technique using boredom/stress-inducing casual games with subjects behaving naturally.

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Acknowledgment

The authors would like to thank the participants and all involved personnel for their valuable contributions. This work has been performed with support from: CNPq, Conselho Nacional de Desenvolvimento Científico e Tecnológico - Brasil; University of Skövde; EU Interreg ÖKS project Game Hub Scandinavia; UFFS, Federal University of Fronteira Sul.

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Authors and Affiliations

  1. University of Skövde, Skövde, Sweden

    Fernando Bevilacqua, Henrik Engström & Per Backlund

  2. Federal University of Fronteira Sul, Chapecó, Brazil

    Fernando Bevilacqua

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  1. Fernando Bevilacqua
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  2. Henrik Engström
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  3. Per Backlund
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Correspondence to Fernando Bevilacqua .

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Editors and Affiliations

  1. City, University of London, London, United Kingdom

    Adrian David Cheok

  2. University of Tokyo, Tokyo, Japan

    Masahiko Inami

  3. NOVA University of Lisbon, Lisbon, Portugal

    Teresa Romão

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Bevilacqua, F., Engström, H., Backlund, P. (2018). Accuracy Evaluation of Remote Photoplethysmography Estimations of Heart Rate in Gaming Sessions with Natural Behavior. In: Cheok, A., Inami, M., Romão, T. (eds) Advances in Computer Entertainment Technology. ACE 2017. Lecture Notes in Computer Science(), vol 10714. Springer, Cham. https://doi.org/10.1007/978-3-319-76270-8_35

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