TY - GEN
T1 - A Gaze Detection System for Neuropsychiatric Disorders Remote Diagnosis Support
AU - Cangelosi, A.
AU - Antola, G.
AU - Lo Iacono, A.
AU - Santamaria, A.
AU - Clerico, M.
AU - Al-Thani, D.
AU - Agus, M.
AU - Calì, C.
N1 - Publisher Copyright:
© 2023 The Author(s)
PY - 2023
Y1 - 2023
N2 - Accurate 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.
AB - Accurate 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.
UR - http://www.scopus.com/inward/record.url?scp=85187238012&partnerID=8YFLogxK
U2 - 10.2312/stag.20231306
DO - 10.2312/stag.20231306
M3 - Conference contribution
AN - SCOPUS:85187238012
T3 - Eurographics Italian Chapter Proceedings - Smart Tools and Applications in Graphics, STAG
SP - 161
EP - 163
BT - Smart Tools and Applications in Graphics - Eurographics Italian Chapter Conference, STAG 2023
A2 - Fellner, Dieter
A2 - Manfredi, Gilda
A2 - Caggianese, Giuseppe
A2 - Capece, Nicola
A2 - Ugo, Erra
A2 - Banterle, Francesco
A2 - Lupinetti, Katia
PB - Eurographics Association
T2 - 10th Eurographics Italian Chapter Conference on Smart Tools and Applications in Graphics, STAG 2023
Y2 - 16 November 2023 through 17 November 2023
ER -