Applying the Eye-Tracking Method for the Classification of Neurological Disorders, Mental Diseases, and Speech Impairments Based on Machine Learning: an Overview-Reference-Cited by-同舟云学术

Applying the Eye-Tracking Method for the Classification of Neurological Disorders, Mental Diseases, and Speech Impairments Based on Machine Learning: an Overview

Published:2023-09-28 Issue: Volume: Page:
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Container-title:2023 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine (CSGB)
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Author:

Shurupova Marina A.¹^ORCID,Aizenshtein Alina D.¹^ORCID,Chistiakov Sergey N.²,Dolganov Anton Yu.²^ORCID,Zhdanov Aleksei³^ORCID,Ivanova Galina E.¹^ORCID

Affiliation:

1. Federal Center of Brain Research and Neurotechnologies of the Federal Medical Biological Agency,Department of Medical Rehabilitation,Moscow,Russia

2. Institute of Radio Electronics and Information Technology-RTF, Ural Federal University,Yekaterinburg,Russia

3. Siemens Healthcare GmbH,Erlangen,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10329457/10329623/10329844.pdf?arnumber=10329844

Reference25 articles.

1. A review on eye movement studies in childhood and adolescent psychiatry

2. Evaluation of Ten Open-Source Eye-Movement Classification Algorithms in Simulated Surgical Scenarios

3. Application of eye tracking in medicine: A survey, research issues and challenges

4. Homonymous hemianopia and visual neglect: I — phenomenology, diagnosis

5. Eye-Tracking Feature Extraction for Biometric Machine Learning

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