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Modeling Autonomic Pupillary Responses from External Stimuli Using Machine Learning

AI (Artificial Intelligence) concept. Deep learning. GUI (Graphical User Interface)

Biomedical Journal of Scientific and Technical Research

Shawhin Talebi, David J. Lary, Lakitha O.H. Wijerante and Tatiana Lary

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Overview

Changes in light intensity cause pupils to dilate. Here, machine learning is used to predict pupil size using environmental and biometric data inputs. Light levels of certain wavelengths were found to have a greater effect on the computer’s ability to predict pupil diameter.

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AUTHOR SPOTLIGHT
Dr. David Lary in a suit in front of computers, vertical. Professor of Physics in the Hanson Center for Space Sciences; Founding Director of MINTS (Multi-Use Multi-scale Integrated Interactive Intelligent Sensing and Simulation in Service of  Society); Center for Brain Health Investigator

David Lary, PhD

BrainHealth Investigator Professor of Physics, Hanson Center for Space Sciences Founding Director, MINTS