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DC Field | Value | Language |
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dc.contributor.author | Cristina, Stefania | - |
dc.contributor.author | Camilleri, Kenneth P. | - |
dc.date | 2020-05-01 | en_GB |
dc.date.accessioned | 2019-07-29T11:15:42Z | - |
dc.date.available | 2019-07-29T11:15:42Z | - |
dc.date.issued | 2018-05 | - |
dc.identifier.citation | Cristina, S., & Camilleri, K. P. (2018). Unobtrusive and pervasive video-based eye-gaze tracking. Image and Vision Computing, 74, 21-40. | en_GB |
dc.identifier.uri | https://www.um.edu.mt/library/oar/handle/123456789/45268 | - |
dc.description.abstract | Eye-gaze tracking has long been considered a desktop technology that finds its use inside the traditional office setting, where the operating conditions may be controlled. Nonetheless, recent advancements in mobile technology and a growing interest in capturing natural human behaviour have motivated an emerging interest in tracking eye movements within unconstrained real-life conditions, referred to as pervasive eye-gaze tracking. This critical review focuses on emerging passive and unobtrusive video-based eye-gaze tracking methods in recent literature, with the aim to identify different research avenues that are being followed in response to the challenges of pervasive eye-gaze tracking. Different eye-gaze tracking approaches are discussed in order to bring out their strengths and weaknesses, and to identify any limitations, within the context of pervasive eye-gaze tracking, that have yet to be considered by the computer vision community. | en_GB |
dc.language.iso | en | en_GB |
dc.publisher | Elsevier BV | en_GB |
dc.rights | info:eu-repo/semantics/openAccess | en_GB |
dc.subject | Gaze -- Psychological aspects | en_GB |
dc.subject | Eye contact | en_GB |
dc.subject | Nonverbal communication | en_GB |
dc.title | Unobtrusive and pervasive video-based eye-gaze tracking | en_GB |
dc.type | article | en_GB |
dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. | en_GB |
dc.description.reviewed | peer-reviewed | en_GB |
dc.publication.title | Image and Vision Computing | en_GB |
Appears in Collections: | Scholarly Works - FacEngSCE |
Files in This Item:
File | Description | Size | Format | |
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IVC MA.pdf | 3.18 MB | Adobe PDF | View/Open |
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