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Accuracy Evaluation of Remote Photoplethysmography Estimations of Heart Rate in Gaming Sessions with Natural Behavior
Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi. Federal University of Fronteira Sul, Chapecó, Brazil. (Interaction Lab)ORCID-id: 0000-0001-6479-4856
Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi. (Interaction Lab)ORCID-id: 0000-0002-9972-4716
Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi. (Interaction Lab)ORCID-id: 0000-0001-9287-9507
2018 (engelsk)Inngår i: 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, s. 508-530Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
Springer, 2018, 1. s. 508-530
Serie
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 10714
Emneord [en]
Games, Emotion assessment, Remote photoplethysmography, Computer vision, Affective computing
HSV kategori
Forskningsprogram
Interaction Lab (ILAB)
Identifikatorer
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 (tryckt)ISBN: 978-3-319-76270-8 (digital)OAI: oai:DiVA.org:his-14772DiVA, id: diva2:1185319
Konferanse
14th International Conference, ACE 2017, London, UK, December 14-16, 2017
Forskningsfinansiär
EU, European Research Council, Project Gamehub Scandinavia
Merknad

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

Tilgjengelig fra: 2018-02-23 Laget: 2018-02-23 Sist oppdatert: 2019-08-23bibliografisk kontrollert

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