Högskolan i Skövde

his.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Accuracy Evaluation of Remote Photoplethysmography Estimations of Heart Rate in Gaming Sessions with Natural Behavior
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. Federal University of Fronteira Sul, Chapecó, Brazil. (Interaction Lab)ORCID iD: 0000-0001-6479-4856
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Interaction Lab)ORCID iD: 0000-0002-9972-4716
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Interaction Lab)ORCID iD: 0000-0001-9287-9507
2018 (English)In: Advances in Computer Entertainment Technology: 14th International Conference, ACE 2017, London, UK, December 14-16, 2017, Proceedings / [ed] Adrian David Cheok, Masahiko Inami, Teresa Romão, Springer, 2018, 1, p. 508-530Conference paper, Published paper (Refereed)
Abstract [en]

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 correlationr = 0.43, p < 0.001, however with significant variations among subjects. Our experiment is the first to measure the accuracy of an rPPG techniqueusing boredom/stress-inducing casual games with subjects behaving naturally.

Place, publisher, year, edition, pages
Springer, 2018, 1. p. 508-530
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 10714
Keywords [en]
Games, Emotion assessment, Remote photoplethysmography, Computer vision, Affective computing
National Category
Other Engineering and Technologies
Research subject
Interaction Lab (ILAB)
Identifiers
URN: urn:nbn:se:his:diva-14772DOI: 10.1007/978-3-319-76270-8_35ISI: 000432607700035Scopus ID: 2-s2.0-85043535153ISBN: 978-3-319-76269-2 (print)ISBN: 978-3-319-76270-8 (electronic)OAI: oai:DiVA.org:his-14772DiVA, id: diva2:1185319
Conference
14th International Conference, ACE 2017, London, UK, December 14-16, 2017
Funder
EU, European Research Council, Project Gamehub Scandinavia
Note

Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 10714)

Available from: 2018-02-23 Created: 2018-02-23 Last updated: 2025-02-18Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Bevilacqua, FernandoEngström, HenrikBacklund, Per

Search in DiVA

By author/editor
Bevilacqua, FernandoEngström, HenrikBacklund, Per
By organisation
School of InformaticsThe Informatics Research Centre
Other Engineering and Technologies

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 1479 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf