Appearance-based gaze estimation with deep learning: A review and benchmark
Human gaze provides valuable information on human focus and intentions, making it a
crucial area of research. Recently, deep learning has revolutionized appearance-based …
crucial area of research. Recently, deep learning has revolutionized appearance-based …
Brain-machine interfaces: from basic science to neuroprostheses and neurorehabilitation
MA Lebedev, MAL Nicolelis - Physiological reviews, 2017 - journals.physiology.org
Brain-machine interfaces (BMIs) combine methods, approaches, and concepts derived from
neurophysiology, computer science, and engineering in an effort to establish real-time …
neurophysiology, computer science, and engineering in an effort to establish real-time …
Semi-autonomous grasping system based on eye movement and EEG to assist the interaction between the disabled and environment
J Wang, Z Wang, Z Zou, A Zhang, R Tian, S Gao - Authorea Preprints, 2023 - techrxiv.org
Patients physically handicapped can't take care of themselves. Helping them easily control
the objects around them will reduce their psychological burden and social pressure. In this …
the objects around them will reduce their psychological burden and social pressure. In this …
An efficient multi-scale CNN model with intrinsic feature integration for motor imagery EEG subject classification in brain-machine interfaces
AM Roy - Biomedical Signal Processing and Control, 2022 - Elsevier
Objective Electroencephalogram (EEG) based motor imagery (MI) classification is an
important aspect in brain-machine interfaces (BMIs) which bridges between neural system …
important aspect in brain-machine interfaces (BMIs) which bridges between neural system …
Eye gaze estimation: A survey on deep learning-based approaches
Human gaze estimation plays a major role in many applications in human–computer
interaction and computer vision by identifying the users' point-of-interest. Revolutionary …
interaction and computer vision by identifying the users' point-of-interest. Revolutionary …
Motor imagery EEG recognition based on conditional optimization empirical mode decomposition and multi-scale convolutional neural network
X Tang, W Li, X Li, W Ma, X Dang - Expert Systems with Applications, 2020 - Elsevier
Electroencephalogram (EEG) signals classification plays a crucial role in brain computer
interfaces (BCIs) system. However, the inherent complex properties of EEG signals make it …
interfaces (BCIs) system. However, the inherent complex properties of EEG signals make it …
Generalizing gaze estimation with rotation consistency
Recent advances of deep learning-based approaches have achieved remarkable
performance on appearance-based gaze estimation. However, due to the shortage of target …
performance on appearance-based gaze estimation. However, due to the shortage of target …
Generalizing gaze estimation with outlier-guided collaborative adaptation
Deep neural networks have significantly improved appearance-based gaze estimation
accuracy. However, it still suffers from unsatisfactory performance when generalizing the …
accuracy. However, it still suffers from unsatisfactory performance when generalizing the …
Learning a generalized gaze estimator from gaze-consistent feature
Gaze estimator computes the gaze direction based on face images. Most existing gaze
estimation methods perform well under within-dataset settings, but can not generalize to …
estimation methods perform well under within-dataset settings, but can not generalize to …
EEG-based classification combining Bayesian convolutional neural networks with recurrence plot for motor movement/imagery
W Huang, G Yan, W Chang, Y Zhang, Y Yuan - Pattern Recognition, 2023 - Elsevier
Electroencephalogram (EEG)-based Motor imagery (MI) is a key topic in the brain-computer
interface (BCI). The EEG-based real execution and motor imagery multi-class classification …
interface (BCI). The EEG-based real execution and motor imagery multi-class classification …