Engineering & Materials Science
Electroencephalography
100%
Brain computer interface
83%
Brain
57%
Decoding
38%
Face recognition
34%
Cameras
31%
Bioelectric potentials
28%
Convolutional neural networks
26%
Character recognition
26%
Gesture recognition
23%
Experiments
22%
Textures
21%
Classifiers
19%
Feature extraction
18%
Hidden Markov models
14%
Support vector machines
13%
Neural networks
12%
Frequency bands
11%
Neuroimaging
11%
Pixels
10%
Robots
10%
Trajectories
10%
Pattern recognition
10%
Bayesian networks
9%
Recurrent neural networks
9%
Deep learning
9%
Wheelchairs
9%
Color
9%
Braking
9%
Magnetic Resonance Imaging
9%
Near infrared spectroscopy
9%
Human robot interaction
9%
Data description
8%
Deep neural networks
8%
Lighting
8%
Discriminant analysis
8%
Labels
8%
Object tracking
8%
Authentication
7%
Character sets
6%
Watersheds
6%
Multilayers
6%
Object detection
6%
Eye movements
6%
Sports
5%
Robotic arms
5%
Sleep
5%
Patient rehabilitation
5%
Principal component analysis
5%
Computational complexity
5%
Mathematics
Face Recognition
20%
Human
12%
Silhouette
10%
Gesture
10%
Training
10%
Real-time
9%
Experimental Results
9%
Segmentation
9%
Conditional Random Fields
9%
Prototype
9%
Face Detection
8%
Texture
8%
Camera
8%
Support Vector Machine
8%
Linear Combination
8%
Illumination
7%
Experiment
7%
Character Recognition
7%
Object Tracking
7%
Image Sequence
7%
Brain-computer Interface
6%
Imagery
6%
Character
6%
Performance
6%
Electroencephalogram (EEG)
6%
Learning
6%
Brain
5%
High Resolution
5%
Motion
5%
Model
5%
Gesture Recognition
5%
Support Vector Data Description
5%
Object
5%
Sign Language
5%
Medicine & Life Sciences
Brain-Computer Interfaces
45%
Electroencephalography
44%
Brain
22%
Datasets
12%
Deep Learning
11%
Cognitive Dysfunction
11%
Learning
10%
Intention
9%
Alzheimer Disease
9%
Magnetic Resonance Imaging
9%
Hand
8%
Consciousness
7%
Evoked Potentials
7%
Visual Evoked Potentials
6%
Psychology Recognition
6%
Autism Spectrum Disorder
6%
Machine Learning
5%
Neuroimaging
5%
Unconsciousness
5%
