Machine Learning Techniques for Simulating Human Psychophysical Testing of Low‐Resolution Phosphene Face Images in Artificial Vision

Machine Learning Techniques for Simulating Human Psychophysical Testing of Low‐Resolution Phosphene Face Images in Artificial Vision

Abstract To evaluate the quality of artificial visual percepts generated by emerging methodologies, researchers often rely on labor‐intensive and tedious human psychophysical experiments. These experiments necessitate repeated iterations upon any major/minor modifications in the hardware/software co...

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Bibliographic Details
Main Authors: Na Min An, Hyeonhee Roh, Sein Kim, Jae Hun Kim, Maesoon Im
Format: Article
Language:English
Published: Wiley 2025-04-01
Series:Advanced Science
Subjects:
artificial vision
human psychophysical test
machine learning
prosthetic vision
Online Access:https://doi.org/10.1002/advs.202405789
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https://doi.org/10.1002/advs.202405789

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