Video-based eye tracking for neuropsychiatric assessment.

Abstract:

:This paper presents a video-based eye-tracking method, ideally deployed via a mobile device or laptop-based webcam, as a tool for measuring brain function. Eye movements and pupillary motility are tightly regulated by brain circuits, are subtly perturbed by many disease states, and are measurable using video-based methods. Quantitative measurement of eye movement by readily available webcams may enable early detection and diagnosis, as well as remote/serial monitoring, of neurological and neuropsychiatric disorders. We successfully extracted computational and semantic features for 14 testing sessions, comprising 42 individual video blocks and approximately 17,000 image frames generated across several days of testing. Here, we demonstrate the feasibility of collecting video-based eye-tracking data from a standard webcam in order to assess psychomotor function. Furthermore, we were able to demonstrate through systematic analysis of this data set that eye-tracking features (in particular, radial and tangential variance on a circular visual-tracking paradigm) predict performance on well-validated psychomotor tests.

journal_name

Ann N Y Acad Sci

authors

Adhikari S,Stark DE

doi

10.1111/nyas.13305

subject

Has Abstract

pub_date

2017-01-01 00:00:00

pages

145-152

issue

1

eissn

0077-8923

issn

1749-6632

journal_volume

1387

pub_type

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