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dc.contributor.authorAckland, Stephenen
dc.contributor.authorIstance, Howellen
dc.contributor.authorCoupland, Simonen
dc.contributor.authorVickers, Stephenen
dc.date.accessioned2016-03-03T14:45:10Z
dc.date.available2016-03-03T14:45:10Z
dc.date.issued2014-03
dc.identifier.citationAckland, S., Istance, H., Coupland, S. and Vickers, S. (2014) An investigation into determining head pose for gaze estimation on unmodified mobile devices. Proceedings of the Symposium on Eye Tracking Research and Applications, ACM. pp. 203-206en
dc.identifier.isbn9781450327510
dc.identifier.urihttp://hdl.handle.net/2086/11580
dc.description.abstractTraditionally, devices which are able to determine a users gaze are large, expensive and often restrictive. We investigate the prospect of using common webcams and mobile devices such as laptops, tablets and phones without modification as an alternative means for obtaining a users gaze. A person’s gaze can be fundamentally determined by the pose of the head as well as the orientation of the eyes. This initial work investigates the first of these factors - an estimate of the 3D head pose (and subsequently the positions of the eye centres) relative to a camera device. Specifically, we seek a low cost algorithm that requires only a one-time calibration for an individual user, that can run in real-time on the aforementioned mobile devices with noisy camera data. We use our head tracker to estimate the 4 eye corners of a user over a 10 second video. We present the results at several different frames per second (fps) to analyse the impact on the tracker with lower quality cameras. We show that our algorithm is efficient enough to run at 75fps on a common laptop, but struggles with tracking loss when the fps is lower than 10fps.en
dc.language.isoenen
dc.publisherACMen
dc.subjectComputer visionen
dc.subject3D Head Poseen
dc.titleAn investigation into determining head pose for gaze estimation on unmodified mobile devicesen
dc.typeConferenceen
dc.identifier.doihttp://dx.doi.org/10.1145/2578153.2578184
dc.researchgroupCentre for Computational Intelligenceen
dc.peerreviewedYesen
dc.explorer.multimediaNoen
dc.funderDe Montfort Universityen
dc.projectidEye Gaze Tracking On Mobile Devicesen
dc.researchinstituteInstitute of Artificial Intelligence (IAI)en


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