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Development and Calibration of an Eye-Tracking Fixation Identification Algorithm for Immersive Virtual Reality

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Development and Calibration of an Eye-Tracking Fixation Identification Algorithm for Immersive Virtual Reality

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dc.contributor.author Llanes-Jurado, José es_ES
dc.contributor.author Marín-Morales, Javier es_ES
dc.contributor.author Guixeres Provinciale, Jaime es_ES
dc.contributor.author Alcañiz Raya, Mariano Luis es_ES
dc.date.accessioned 2021-06-12T03:33:42Z
dc.date.available 2021-06-12T03:33:42Z
dc.date.issued 2020-09 es_ES
dc.identifier.uri http://hdl.handle.net/10251/167865
dc.description.abstract [EN] Fixation identification is an essential task in the extraction of relevant information from gaze patterns; various algorithms are used in the identification process. However, the thresholds used in the algorithms greatly affect their sensitivity. Moreover, the application of these algorithm to eye-tracking technologies integrated into head-mounted displays, where the subject's head position is unrestricted, is still an open issue. Therefore, the adaptation of eye-tracking algorithms and their thresholds to immersive virtual reality frameworks needs to be validated. This study presents the development of a dispersion-threshold identification algorithm applied to data obtained from an eye-tracking system integrated into a head-mounted display. Rules-based criteria are proposed to calibrate the thresholds of the algorithm through different features, such as number of fixations and the percentage of points which belong to a fixation. The results show that distance-dispersion thresholds between 1-1.6 degrees and time windows between0.25-0.4s are the acceptable range parameters, with 1 degrees and0.25s being the optimum. The work presents a calibrated algorithm to be applied in future experiments with eye-tracking integrated into head-mounted displays and guidelines for calibrating fixation identification algorithms es_ES
dc.description.sponsorship We thank Pepe Roda Belles for the development of the virtual reality environment and the integration of the HMD with Unity platform. We also thank Masoud Moghaddasi for useful discussions and recommendations. es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Sensors es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Eye-Tracking es_ES
dc.subject Fixation identification es_ES
dc.subject Virtual reality es_ES
dc.subject Immersive virtual reality es_ES
dc.subject Head-Mounted display es_ES
dc.subject Calibration es_ES
dc.subject Area of interest es_ES
dc.subject.classification EXPRESION GRAFICA EN LA INGENIERIA es_ES
dc.subject.classification ESTADISTICA E INVESTIGACION OPERATIVA es_ES
dc.title Development and Calibration of an Eye-Tracking Fixation Identification Algorithm for Immersive Virtual Reality es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/s20174956 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Gráfica - Departament d'Enginyeria Gràfica es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Interuniversitario de Investigación en Bioingeniería y Tecnología Orientada al Ser Humano - Institut Interuniversitari d'Investigació en Bioenginyeria i Tecnologia Orientada a l'Ésser Humà es_ES
dc.description.bibliographicCitation Llanes-Jurado, J.; Marín-Morales, J.; Guixeres Provinciale, J.; Alcañiz Raya, ML. (2020). Development and Calibration of an Eye-Tracking Fixation Identification Algorithm for Immersive Virtual Reality. Sensors. 20(17):1-15. https://doi.org/10.3390/s20174956 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/s20174956 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 15 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 20 es_ES
dc.description.issue 17 es_ES
dc.identifier.eissn 1424-8220 es_ES
dc.identifier.pmid 32883026 es_ES
dc.identifier.pmcid PMC7547381 es_ES
dc.relation.pasarela S\417630 es_ES
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