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dc.contributor.authorAndreu Pérez, Ana R.
dc.contributor.authorAndreu Abela, Jaime José 
dc.contributor.authorPinto Molina, María 
dc.date.accessioned2021-03-05T11:12:08Z
dc.date.available2021-03-05T11:12:08Z
dc.date.issued2021-01-14
dc.identifier.citationAndreu-Perez, A.R.; Kiani, M.; Andreu-Perez, J.; Reddy, P.; Andreu-Abela, J.; Pinto, M.; Izzetoglu, K. Single-Trial Recognition of Video Gamer’s Expertise from Brain Haemodynamic and Facial Emotion Responses. Brain Sci. 2021, 11, 106. [https://doi.org/10.3390/ brainsci11010106]es_ES
dc.identifier.urihttp://hdl.handle.net/10481/66925
dc.description.abstractWith an increase in consumer demand of video gaming entertainment, the game industry is exploring novel ways of game interaction such as providing direct interfaces between the game and the gamers’ cognitive or affective responses. In this work, gamer’s brain activity has been imaged using functional near infrared spectroscopy (fNIRS) whilst they watch video of a video game (League of Legends) they play. A video of the face of the participants is also recorded for each of a total of 15 trials where a trial is defined as watching a gameplay video. From the data collected, i.e., gamer’s fNIRS data in combination with emotional state estimation from gamer’s facial expressions, the expertise level of the gamers has been decoded per trial in a multi-modal framework comprising of unsupervised deep feature learning and classification by state-of-the-art models. The best tri-class classification accuracy is obtained using a cascade of random convolutional kernel transform (ROCKET) feature extraction method and deep classifier at 91.44%. This is the first work that aims at decoding expertise level of gamers using non-restrictive and portable technologies for brain imaging, and emotional state recognition derived from gamers’ facial expressions. This work has profound implications for novel designs of future human interactions with video games and brain-controlled games.es_ES
dc.language.isoenges_ES
dc.publisherMdpies_ES
dc.rightsAtribución 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectMind-controlled gameses_ES
dc.subjectBrain signalses_ES
dc.subjectfNIRSes_ES
dc.subjectFacial expressionses_ES
dc.titleSingle-Trial Recognition of Video Gamer’s Expertise from Brain Haemodynamic and Facial Emotion Responseses_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.3390/ brainsci11010106
dc.type.hasVersionVoRes_ES


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Atribución 3.0 España
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