A Gaze Detection System for Neuropsychiatric Disorders Remote Diagnosis Support

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dc.contributor.authorCangelosi, Antonioen_US
dc.contributor.authorAntola, Gabrieleen_US
dc.contributor.authorIacono, Alberto Loen_US
dc.contributor.authorSantamaria, Alfonsoen_US
dc.contributor.authorClerico, Marinellaen_US
dc.contributor.authorAl-Thani, Denaen_US
dc.contributor.authorAgus, Marcoen_US
dc.contributor.authorCalì, Corradoen_US
dc.contributor.editorBanterle, Francescoen_US
dc.contributor.editorCaggianese, Giuseppeen_US
dc.contributor.editorCapece, Nicolaen_US
dc.contributor.editorErra, Ugoen_US
dc.contributor.editorLupinetti, Katiaen_US
dc.contributor.editorManfredi, Gildaen_US
dc.date.accessioned2023-11-12T15:37:42Z
dc.date.available2023-11-12T15:37:42Z
dc.date.issued2023
dc.description.abstractAccurate and early diagnosis of neuropsychiatric disorders, such as Autism Spectrum Disorders (ASD) is a significant challenge in clinical practice. This study explores the use of real-time gaze tracking as a tool for unbiased and quantitative analysis of eye gaze. The results of this study could support the diagnosis of disorders and potentially be used as a tool in the field of rehabilitation. The proposed setup consists of an RGB-D camera embedded in the latest-generation smartphones and a set of processing components for the analysis of recorded data related to patient interactivity. The proposed system is easy to use and doesn't require much knowledge or expertise. It also achieves a high level of accuracy. Because of this, it can be used remotely (telemedicine) to simplify diagnosis and rehabilitation processes. We present initial findings that show how real-time gaze tracking can be a valuable tool for doctors. It is a non-invasive device that provides unbiased quantitative data that can aid in early detection, monitoring, and treatment evaluation. This study's findings have significant implications for the advancement of ASD research. The innovative approach proposed in this study has the potential to enhance diagnostic accuracy and improve patient outcomes.en_US
dc.description.sectionheadersPoster Session
dc.description.seriesinformationSmart Tools and Applications in Graphics - Eurographics Italian Chapter Conference
dc.identifier.doi10.2312/stag.20231306
dc.identifier.isbn978-3-03868-235-6
dc.identifier.issn2617-4855
dc.identifier.pages161-163
dc.identifier.pages3 pages
dc.identifier.urihttps://doi.org/10.2312/stag.20231306
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/stag20231306
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Applied computing -> Health informatics; Human-centered computing -> Pointing devices
dc.subjectApplied computing
dc.subjectHealth informatics
dc.subjectHuman centered computing
dc.subjectPointing devices
dc.titleA Gaze Detection System for Neuropsychiatric Disorders Remote Diagnosis Supporten_US
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Italian Chapter Conference 2023 - Smart Tools and Apps in Graphics