AIMC Topic: Pupil

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An automatic screening method for strabismus detection based on image processing.

PloS one Aug 3, 2021
PURPOSE: This study aims to provide an automatic strabismus screening method for people who live in remote areas with poor medical accessibility.
Face Pupil Electronic Data Processing Case-Control Studies Image Processing, Computer-Assisted Health Services Accessibility Mass Screening Least-Squares Analysis Strabismus Humans Neural Networks, Computer Algorithms
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Pupil Size Prediction Techniques Based on Convolution Neural Network.

Sensors (Basel, Switzerland) Jul 21, 2021
The size of one's pupil can indicate one's physical condition and mental state. When we search related papers about AI and the pupil, most studies focused on eye-tracking. This paper proposes an algorithm that can calculate pupil size based on a conv...
Neural Networks, Computer Algorithms Pupil Humans
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A Pupil Segmentation Algorithm Based on Fuzzy Clustering of Distributed Information.

Sensors (Basel, Switzerland) Jun 19, 2021
Pupil segmentation is critical for line-of-sight estimation based on the pupil center method. Due to noise and individual differences in human eyes, the quality of eye images often varies, making pupil segmentation difficult. In this paper, we propos...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Fuzzy Logic Humans Algorithms Cluster Analysis Pupil
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Human and Human-Interfaced AI Interactions: Modulation of Human Male Autonomic Nervous System via Pupil Mimicry.

Sensors (Basel, Switzerland) Feb 3, 2021
Pupillary alterations in virtual humans induce neurophysiological responses within an observer. Technological advances have enabled rapid developments in artificial intelligence (AI), from verbal systems, to visual AI interfaces with the ability to e...
Autonomic Nervous System Young Adult Adult Humans Emotions Male Artificial Intelligence Heart Rate Female Pupil
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Deep learning-based pupil model predicts time and spectral dependent light responses.

Scientific reports Jan 12, 2021
Although research has made significant findings in the neurophysiological process behind the pupillary light reflex, the temporal prediction of the pupil diameter triggered by polychromatic or chromatic stimulus spectra is still not possible. State o...
Humans Neural Networks, Computer Databases, Factual Light Pupil Vision, Ocular Young Adult Adult Deep Learning Photic Stimulation Reflex, Pupillary
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Energy Efficient Pupil Tracking Based on Rule Distillation of Cascade Regression Forest.

Sensors (Basel, Switzerland) Sep 9, 2020
As the demand for human-friendly computing increases, research on pupil tracking to facilitate human-machine interactions (HCIs) is being actively conducted. Several successful pupil tracking approaches have been developed using images and a deep neu...
Eye-Tracking Technology Pupil Humans Neural Networks, Computer Machine Learning Algorithms
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Pupil Localisation and Eye Centre Estimation Using Machine Learning and Computer Vision.

Sensors (Basel, Switzerland) Jul 6, 2020
Various methods have been used to estimate the pupil location within an image or a real-time video frame in many fields. However, these methods lack the performance specifically in low-resolution images and varying background conditions. We propose a...
Reproducibility of Results Pupil Machine Learning Algorithms Computers Humans Artificial Intelligence
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Relative Afferent Pupillary Defect Screening Through Transfer Learning.

IEEE journal of biomedical and health informatics Aug 7, 2019
Abnormalities in pupillary light reflex can indicate optic nerve disorders that may lead to permanent visual loss if not diagnosed in an early stage. In this study, we focus on relative afferent pupillary defect (RAPD), which is based on the differen...
ROC Curve Telemedicine Image Interpretation, Computer-Assisted Pupil Diagnostic Techniques, Ophthalmological Pupil Disorders Humans Machine Learning Reflex, Pupillary
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Deep learning of spontaneous arousal fluctuations detects early cholinergic defects across neurodevelopmental mouse models and patients.

Proceedings of the National Academy of Sciences of the United States of America Jul 22, 2019
Neurodevelopmental spectrum disorders like autism (ASD) are diagnosed, on average, beyond age 4 y, after multiple critical periods of brain development close and behavioral intervention becomes less effective. This raises the urgent need for quantita...
Rett Syndrome Male Deep Learning Arousal Cohort Studies Humans Female Acetylcholine Methyl-CpG-Binding Protein 2 Mice Animals Autistic Disorder Disease Models, Animal Pupil Protein Serine-Threonine Kinases
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DeepVOG: Open-source pupil segmentation and gaze estimation in neuroscience using deep learning.

Journal of neuroscience methods Jun 6, 2019
BACKGROUND: A prerequisite for many eye tracking and video-oculography (VOG) methods is an accurate localization of the pupil. Several existing techniques face challenges in images with artifacts and under naturalistic low-light conditions, e.g. with...
Image Processing, Computer-Assisted Neurosciences Humans Adult Fixation, Ocular Video Recording Female Male Pupil Deep Learning
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