Smarteye: developing a novel eye tracking system for quantitative assessment of oculomotor abnormalities

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dc.contributor.author Kumar, Deepesh
dc.contributor.author Dutta, Anirban
dc.contributor.author Das, Abhijit
dc.contributor.author Lahiri, Uttama
dc.date.accessioned 2016-04-16T16:21:41Z
dc.date.available 2016-04-16T16:21:41Z
dc.date.issued 2016-10
dc.identifier.citation Kumar, Deepesh; Dutta, Anirban; Das, Abhijit and Lahiri, Uttama, “Smarteye: developing a novel eye tracking system for quantitative assessment of oculomotor abnormalities”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, DOI: 10.1109/TNSRE.2016.2518222, vol.24, no.10, pp.1051-1059 Oct. 2016. en_US
dc.identifier.issn 1534-4320
dc.identifier.uri http://dx.doi.org/10.1109/TNSRE.2016.2518222
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/2201
dc.description.abstract Eye movements are a continuous and ubiquitous part of sensory perception. To properly generate highly accurate and co-ordinate ocular movements, a vast network of brain areas are engaged, from low-level visual processing to motor control of gaze orientation. This renders oculomotor system vulnerable to various neurological disorders with unique clinical patterns. Therefore, oculomotor examination can serve as an early and sensitive indicator for various neurological conditions. A simple-to-use, clinically valid system for objectively assessing the oculomotor function can thus bring a paradigm shift in diagnosis and treatment of brain disorders. In principal accordance, this paper presents a gaze assessment tool, called SmartEye, which is based on eye fixation, smooth pursuit, and blinking in response to both static and dynamic visual stimuli. The gaze related indices were evaluated in real-time by SmartEye and these were mapped to the reported pathological state in chronic (>3 months) patients with stroke. Our preliminary feasibility study with 8 pairs of chronic (>3 months) stroke survivors and healthy individuals revealed that gaze related indices in response to both static and dynamic visual stimuli may serve as potential quantitative biomarkers for stroke assessment. en_US
dc.description.statementofresponsibility by Deepesh Kumar et al.
dc.format.extent vol.24, no.10, pp.1051-1059
dc.language.iso en_US en_US
dc.publisher IEEE en_US
dc.subject Blink Rate en_US
dc.subject Eye en_US
dc.subject Fixation en_US
dc.subject Computers en_US
dc.subject Gaze tracking en_US
dc.subject Graphical user interfaces en_US
dc.subject Lesions en_US
dc.subject Monitoring en_US
dc.subject Tracking en_US
dc.subject Visualization en_US
dc.title Smarteye: developing a novel eye tracking system for quantitative assessment of oculomotor abnormalities en_US
dc.type Article en_US
dc.relation.journal IEEE Transactions on Neural Systems and Rehabilitation Engineering


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