Efficient machine learning approach for volunteer eye-blink detection in real-time using webcam

Author:

Medeiros Paulo Augusto de LimaORCID,Silva Gabriel Vinícius Souza daORCID,Fernandes Felipe Ricardo dos SantosORCID,Sánchez-Gendriz IgnacioORCID,Lins Hertz Wilton CastroORCID,Barros Daniele Montenegro da SilvaORCID,Nagem Danilo Alves PintoORCID,Valentim Ricardo Alexsandro de MedeirosORCID

Funder

Universidade Federal do Rio Grande do Norte

Ministério da Saúde

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference72 articles.

1. Drowsy driver identification using eye blink detection;Ahmad;IJISET - International Journal of Computer Science and Information Technologies,2015

2. Robust eye blink detection based on eye landmarks and savitzky–golay filtering;Al-gawwam;Information,2018

3. Online eye status detection in the wild with convolutional neural networks;Anas,2017

4. Statistical models of appearance for eye tracking and eye-blink detection and measurement;Bacivarov;IEEE Transactions on Consumer Electronics,2008

5. National registry for amyotrophic lateral sclerosis: a systematic review for structuring population registries of motor neuron diseases;Barbalho;BMC Neurology,2021

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3. BlinkLinMulT: Transformer-Based Eye Blink Detection;Journal of Imaging;2023-09-26

4. Detailed Analysis of Blink Types Classification Using a 3D Convolutional Neural Network;IEEJ Transactions on Electronics, Information and Systems;2023-09-01

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