EM-COGLOAD: An investigation into age and cognitive load detection using eye tracking and deep learning
(2024)
Journal Article
Miles, G., Smith, M., Zook, N., & Zhang, W. (in press). EM-COGLOAD: An investigation into age and cognitive load detection using eye tracking and deep learning. Computational and Structural Biotechnology Journal,
Alzheimer's Disease is the most prevalent neurodegenerative disease, and is a leading cause of disability among the elderly. Eye movement behaviour demonstrates potential as a non-invasive biomarker for Alzheimer's Disease, with changes detectable at... Read More about EM-COGLOAD: An investigation into age and cognitive load detection using eye tracking and deep learning.