Robust Eye Blink Detection Using Dual Embedding Video Vision Transformer

J Hong, J Shin, J Choi, M Ko - Proceedings of the IEEE/CVF …, 2024 - openaccess.thecvf.com
Eye blink detection serves as a crucial biomarker for evaluating both physical and mental
states, garnering considerable attention in biometric and video-based studies. Among …

Evaluation of Data Processing and Machine Learning Techniques in P300-based Authentication using Brain-Computer Interfaces

EL Bernal, SL Bernal, GM Pérez… - arXiv preprint arXiv …, 2023 - arxiv.org
Brain-Computer Interfaces (BCIs) are used in various application scenarios allowing direct
communication between the brain and computers. Specifically, electroencephalography …

Camera-based blink detection using 3d-landmarks

D Kraft, F Hartmann, G Bieber - … of the 7th International Workshop on …, 2022 - dl.acm.org
Working in front of the computer for long periods of time leads to exhaustion, fatigue and
high strain on the eyes. Often the natural eye blink activity is disturbed and the eyes do not …

[HTML][HTML] Progress in Non-Invasive Cognitive Brain-Computer Interface and Implications for Mind-Uploading

IWAD Astawa, HD Purnomo, I Sembiring - International Journal of Artificial …, 2024 - ijair.id
Mind-uploading, the vision of transferring human consciousness into a digital realm, relies
on a profound comprehension of the brain and cutting-edge technology. Non-invasive …

[HTML][HTML] Control of a wheelchair-mounted 6DOF assistive robot with Chin and finger joysticks

I Rulik, MSH Sunny, JD Sanjuan De Caro… - Frontiers in Robotics …, 2022 - frontiersin.org
Throughout the last decade, many assistive robots for people with disabilities have been
developed; however, researchers have not fully utilized these robotic technologies to …

Design and Manufacture of a Guided Mechanical Arm by EEG Signals

M Memari, MM Sakhaee, MH Nadian… - 2021 9th RSI …, 2021 - ieeexplore.ieee.org
Nowadays, familiarity with how the brain works and the commands issued by it, has attracted
the attention of researchers in various sciences. Advances in this field and the growing …

Classification of EEG signal by using optimized Quantum Neural Network

DS Abdul-Zahra, AT Jawad… - … Journal of Electrical …, 2021 - section.iaesonline.com
In recent years the algorithms of machine learning was used for brain signals identifing
which is a useful technique for diagnosing diseases like Alzheimer's and epilepsy. In this …

[PDF][PDF] Trajectory tracking and collision avoidance on smart wheel chair

MA Riyadi, S Rizqullah, S Sumardi… - Jurnal Ilmiah Teknik …, 2022 - researchgate.net
There have been many developments of wheelchairs as mobility aids, including electric
wheelchairs. Wheelchairs sometimes still require manual steering. Therefore, in this …

Prediction of Digital Eye Strain Due to Online Learning Based on the Number of Blinks

R Riandini, SA Aditya, RN Wardhani… - … Journal of Electrical …, 2022 - section.iaesonline.com
Eye strain is a big concern, especially when it comes to continuous and prolonged online
learning. If this is allowed to continue, it will result in Computer Vision Syndrome, also known …

Modeling and fabrication of smart robotic wheelchair instructed by head gesture

M Mudassir, A Mujahid - Indonesian Journal of Electrical …, 2021 - section.iaesonline.com
The confronting problem faced by the handicapped, paralyzed, disabled, and quadriplegic
people is their independent mobility. They need external assistance to perform their daily life …