AIMC Topic: Blinking

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A CNN-based approach for detecting eye blink episodes in EEG signals.

Journal of neural engineering May 19, 2025
This study aims to develop and evaluate a convolutional neural network (CNN)-based architecture for detecting eye blink episodes in electroencephalographic (EEG) signals, with a focus on the precise detection of individual events rather than their cl...
Female Young Adult Electroencephalography Humans Blinking Neural Networks, Computer Adult Male
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Eye-Rubbing Detection Using a Smartwatch: A Feasibility Study Demonstrated High Accuracy With Machine Learning.

Translational vision science & technology Sep 3, 2024
PURPOSE: In this work, we present a new machine learning method based on the transformer neural network to detect eye rubbing using a smartwatch in a real-life setting. In ophthalmology, the accurate detection and prevention of eye rubbing could redu...
Algorithms Wearable Electronic Devices Feasibility Studies Blinking Neural Networks, Computer Machine Learning Humans
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[Practical Application of Intelligent Vision Measurement System Based on Deep Learning].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation Jul 30, 2024
To comprehensively assess the true visual function of clinical dry eye patients and the comprehensive impact of blinking characteristics on functional vision of the human eye, an intelligent vision measurement system has been designed and developed t...
Vision, Ocular Blinking Humans Deep Learning Dry Eye Syndromes
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Impact of Incomplete Blinking Analyzed Using a Deep Learning Model With the Keratograph 5M in Dry Eye Disease.

Translational vision science & technology Mar 2, 2022
PURPOSE: To establish a deep learning model (DLM) for blink analysis, and investigate whether blink video frame sampling rate influences the accuracy of analysis.
Dry Eye Syndromes Eye Tears Blinking Humans Deep Learning
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Eyelid Movement Command Classification Using Machine Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
The Eyelid Drive System (EDS) is an assistive technology device intended to allow users to wirelessly control other devices, such as power wheelchairs and personal computers, using commands consisting only of blinking and winking. In this paper, four...
Self-Help Devices Eyelids Support Vector Machine Blinking Humans Logistic Models
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Real-time cerebellar neuroprosthetic system based on a spiking neural network model of motor learning.

Journal of neural engineering Feb 1, 2018
OBJECTIVE: Damage to the brain, as a result of various medical conditions, impacts the everyday life of patients and there is still no complete cure to neurological disorders. Neuroprostheses that can functionally replace the damaged neural circuit h...
Neural Networks, Computer Learning Animals Rats Action Potentials Rats, Sprague-Dawley Male Cerebellum Blinking Computer Systems Neural Prostheses
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Clinical and Electrophysiological Analysis of Chronic Eyelid Twitching.

Acta neurologica Taiwanica Dec 15, 2017
PURPOSE: Nearly everyone had experience of eyelid twitching (ET) and most physicians think it is benign and self limited. Most neurologists consider it is a symptom rather a disease. However, sometimes ET persists longer and becomes bothersome in som...
Child Chronic Disease Middle Aged Adolescent Facial Nerve Blepharospasm Aged Humans Blinking Young Adult Adult Retrospective Studies Male Female
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"Wink to grasp" - comparing eye, voice & EMG gesture control of grasp with soft-robotic gloves.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings] Jul 1, 2017
The ability of robotic rehabilitation devices to support paralysed end-users is ultimately limited by the degree to which human-machine-interaction is designed to be effective and efficient in translating user intention into robotic action. Specifica...
Self-Help Devices Humans Robotics User-Computer Interface Blinking Hand Strength
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