Unifying sensorimotor dynamics in multiclass brain computer interface
Unification of spatial brain dynamics in multiclass brain computer interface (BCI) paradigm
reduces computational latencies by using lesser number of electrodes from the sensorimotor …
reduces computational latencies by using lesser number of electrodes from the sensorimotor …
Improving the efficiency of an EEG-based brain computer interface using Filter Bank Common Spatial Pattern
M Mohammadi, MR Mosavi - 2017 IEEE 4th International …, 2017 - ieeexplore.ieee.org
Brain Computer Interface (BCI) systems are popular due to their ability to improve the quality
of life of disabled people. They are proper tools to translate the movement intentions of …
of life of disabled people. They are proper tools to translate the movement intentions of …
BCI classification using locally generated CSP features
Y Park, W Chung - 2018 6th International Conference on Brain …, 2018 - ieeexplore.ieee.org
In this paper, we present a novel motor imagery classification method in
electroencephalography (EEG)-based Brain-Computer Interfaces (BCIs) using locally …
electroencephalography (EEG)-based Brain-Computer Interfaces (BCIs) using locally …
Increase performance of four-class classification for motor-imagery based brain-computer interface
C Temiyasathit - 2014 International Conference on Computer …, 2014 - ieeexplore.ieee.org
Brain computer interface (BCI) is a system that provide a direct communication between
human brain and external devices. BCIs which based on mental tasks of users are widely …
human brain and external devices. BCIs which based on mental tasks of users are widely …
Eeg channel selection based on correlation coefficient for motor imagery classification: A study on healthy subjects and als patient
Brain-Computer Interface (BCI) provides an alternate channel of interaction for people with
severe motor disabilities. The Common Spatial Pattern (CSP) algorithm is effective in …
severe motor disabilities. The Common Spatial Pattern (CSP) algorithm is effective in …
Spatial filtering for brain computer interfaces: A comparison between the common spatial pattern and its variant
The electroencephalogram (EEG) is the most popular form of input for brain computer
interfaces (BCIs). However, it can be easily contaminated by various artifacts and noise, eg …
interfaces (BCIs). However, it can be easily contaminated by various artifacts and noise, eg …
EEG subspace analysis and classification using principal angles for brain-computer interfaces
R Ashari, C Anderson - 2014 IEEE Symposium on …, 2014 - ieeexplore.ieee.org
Brain-Computer Interfaces (BCIs) help paralyzed people who have lost some or all of their
ability to communicate and control the outside environment from loss of voluntary muscle …
ability to communicate and control the outside environment from loss of voluntary muscle …
Motor imagery EEG signal processing and classification using machine learning approach
Motor imagery (MI) signals recorded via electroencephalography (EEG) is the most
convenient basis for designing brain-computer interfaces (BCIs). As MI based BCI provides …
convenient basis for designing brain-computer interfaces (BCIs). As MI based BCI provides …
EEG feature extraction and classification in multiclass multiuser motor imagery brain computer interface u sing Bayesian Network and ANN
GS Sagee, S Hema - 2017 International Conference on …, 2017 - ieeexplore.ieee.org
Brain Computer Interface (BCI) is a direct communication channel between a trained human
brain and an external device. For people who are paralysed, BCI acts as an interface to …
brain and an external device. For people who are paralysed, BCI acts as an interface to …
Progressive fusion of multi-rate motor imagery classification for brain computer interfaces
T Maloney, G Kalantar… - 2017 IEEE 60th …, 2017 - ieeexplore.ieee.org
Motivated by limited availability of training data for practical implementation of a
synchronous Brain computer interface (BCI), the paper proposes a novel EEG-based …
synchronous Brain computer interface (BCI), the paper proposes a novel EEG-based …