Statistical wavelets with harmony search-based optimal feature selection of EEG signals for motor imagery classification
Brain Computer Interface (BCI) does not only help people of physical disability but also
being used popularly in several other applications. Motor Imagery (MI) classification is one …
being used popularly in several other applications. Motor Imagery (MI) classification is one …
Automated cognitive workload assessment using logical teaching learning-based optimization and PROMETHEE multi-criteria decision making approach
Cognitive workload assessment plays an important role to examine the mental status of
brain for emergency situations faced by air traffic controllers, military personals and many …
brain for emergency situations faced by air traffic controllers, military personals and many …
Investigating Feature Ranking Methods for Sub‐Band and Relative Power Features in Motor Imagery Task Classification
Interpreting the brain commands is now easier using brain‐computer interface (BCI)
technologies. Motor imagery (MI) signal detection is one of the BCI applications, where the …
technologies. Motor imagery (MI) signal detection is one of the BCI applications, where the …
Feature fusion for improving performance of motor imagery brain-computer interface system
A brain-computer interface (BCI) is a system that makes communication between an external
device and the brain based on the brain's neural activity. This communication is conducted …
device and the brain based on the brain's neural activity. This communication is conducted …
Binary Chaotic Jaya Optimization for Cognitive State Assessment
Cognitive State Assessment has a significant role in analyzing the mental status of
personals involved in high-risk tasks where decision-making is important. In this paper …
personals involved in high-risk tasks where decision-making is important. In this paper …
Evolution of Time-Domain Feature for Classification of Two-Class Motor Imagery Data
Brain–computer interface system that provides communication between the brain and
computer by transforming the raw signals into the command or communication signal. Its …
computer by transforming the raw signals into the command or communication signal. Its …
Estimation of Motor Imagination Based on Consumer-Grade EEG Device
Z Luo, Z Hu, Z Li - International Conference on Machine Learning for …, 2020 - Springer
Nowadays, classifying electroencephalogram (EEG) signals based motor imagery tasks is
extensively used to control brain-computer interface applications, as a communication …
extensively used to control brain-computer interface applications, as a communication …