Eye Movement and Visual Target Synchronization Level Detection Using Deep Learning-Reference-Cited by-同舟云学术

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Eye Movement and Visual Target Synchronization Level Detection Using Deep Learning

Published:2022 Issue: Volume: Page:668-678
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Yao Liuchun,Park Mira,Grag Saurabh,Bai Quan

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-97546-3_54

Reference38 articles.

1. Pavisic, I.M., et al.: Eyetracking metrics in young onset Alzheimer’s disease: a window into cognitive visual functions. Front. Neurol. 8, 377 (2017)

2. Crawford, T.J., Devereaux, A., Higham, S., Kelly, C.: The disengagement of visual attention in Alzheimer’s disease: a longitudinal eye-tracking study. Front. Aging Neurosci. (2015). https://doi.org/10.3389/fnagi.2015.00118

3. Wilcockson, T.D.W., et al.: Abnormalities of saccadic eye movements in dementia due to Alzheimer’s disease and mild cognitive impairment. Aging (Albany NY) 11(15), 5389–5398 (2019). https://doi.org/10.18632/aging.102118

4. Perez, A., Ratté, S.: Automatic analysis of Alzheimer’s disease, evaluation of eye movements in natural conversations. In: 2020 Alzheimer’s Association International Conference. ALZ (2020)

5. Nakashima, Y., Morita, K., Ishii, Y., Shouji, Y., Uchimura, N.: Characteristics of exploratory eye movements in elderly people: possibility of early diagnosis of dementia. Psychogeriatrics 10, 124–130 (2010)

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