ArticleFrontiers in physiology2018
Infrared Camera-Based Non-contact Measurement of Brain Activity From Pupillary Rhythms.
Article in Frontiers in physiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed, 18 citations in OpenAlex.
- Dangerous Alarming Diameter Assessment (DADA Index) in Which the Ratio of Iris Surface/Pupil Surface Size Is More Reliable than Pupil Diameter Measurement in Comatose Patients After Subarachnoid Haemorrhage: An Experimental Rabbit Model.Diagnostics (Basel, Switzerland) · 2025Article
- Hybrid BCI for Meal-Assist Robot Using Dry-Type EEG and Pupillary Light Reflex.Biomimetics (Basel, Switzerland) · 2025Article
- Event-related pupillary response-based authentication system using eye-tracker add-on augmented reality glasses for individual identification.Frontiers in physiology · 2024Article
- Recognition of Empathy from Synchronization between Brain Activity and Eye Movement.Sensors (Basel, Switzerland) · 2023Article
- Non-Contact Measurement of Motion Sickness Using Pupillary Rhythms from an Infrared Camera.Sensors (Basel, Switzerland) · 2021Article
- Anti-Heartbeat-Evoked Potentials Performance in Event-Related Potentials-Based Mental Workload Assessment.Frontiers in physiology · 2021Article
- Pupillometry is not sensitive to gas narcosis in divers breathing hyperbaric air or normobaric nitrous oxide.Diving and hyperbaric medicine · 2020Article
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Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pupillary responses are associated with affective processing, cognitive function, perception, memory, attention, and other brain activities involving neural pathways. The present study aimed to develop a noncontact system to measure brain activity based on pupillary rhythms using an infra-red web camera. Electroencephalogram (EEG) signals and pupil imaging of 70 undergraduate volunteers (35 female, 35 male) were measured in response to sound stimuli designed to evoke arousal, relaxation, happiness, sadness, or neutral responses. This study successfully developed a real-time system that could detect an EEG spectral index (relative power: low beta in FP1; mid beta in FP1; SMR in FP1; beta in F3; high beta in F8; gamma P4; mu in C4) from pupillary rhythms using the synchronization phenomenon in harmonic frequency (1/100 f) between the pupil and brain oscillations. This method was effective in measuring and evaluating brain activity using a simple, low-cost, noncontact system, and may be an alternative to previous methods used to evaluate brain activity.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.