Design and development of human computer interface using electrooculogram with deep learning

G Teng, Y He, H Zhao, D Liu, J Xiao… - Artificial intelligence in …, 2020 - Elsevier
Today's life assistive devices were playing significant role in our life to communicate with
others. In that modality Human Computer Interface (HCI) based Electrooculogram (EOG) …

Brain–computer interface for amyotrophic lateral sclerosis patients using deep learning network

J Ramakrishnan, D Mavaluru, RS Sakthivel… - Neural Computing and …, 2022 - Springer
Abstract Individuals with Motor Neuron Disease were unable to move from one place to
another because it gradually reduced all the voluntarily movement due to the degeneration …

High performance computation of human computer interface for neurodegenerative individuals using eye movements and deep learning technique

J Ramakrishnan, R Doss, T Palaniswamy… - The Journal of …, 2022 - Springer
Disabilities due to neurodegenerative disease are rapidly increasing in number. The need
for rehabilitative devices to achieve a normal and comfortable life in the absence of …

An EOG based communication channel for paralyzed patients

Y Karagöz, S Gül, G Çetınel - 2017 25th Signal Processing and …, 2017 - ieeexplore.ieee.org
In this study, Electrooculogram (EOG) based Human-Machine Interface (HMI) application is
proposed for partial or completely paralyzed and physically limited people as Amyotrophic …

[PDF][PDF] Felçli Hastalar için EOG Tabanlı Bir Haberleşme Kanalı An EOG Based Communication Channel for Paralyzed Patients

Y KARAGÖZ, S GÜL, G ÇETİNEL - researchgate.net
At signal processing stage, after preprocessing step for eye movements (vertical, horizontal
and blink) maximum and minimum voltage amplitude values are detected. These values are …

[引用][C] Felçli Hastalar için EOG Tabanlı İletişim

AB UŞAKLI - 2015 - Gülhane Askeri Tıp Akademisi

[引用][C] EOG tabanlı insan bilgisayar arabirim tasarımı

R Arslan - 2022 - Ondokuz Mayıs Üniversitesi …