ScienceGate
Advanced Search
Author Search
Journal Finder
Blog
Sign in / Sign up
ScienceGate
Search
Author Search
Journal Finder
Blog
Sign in / Sign up
Utilizing Subject-Specific Discriminative EEG Features for Classification of Motor Imagery Directions
2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST)
◽
10.1109/icawst.2019.8923216
◽
2019
◽
Author(s):
Kavitha P Thomas
◽
Neethu Robinson
◽
A. P. Vinod
Keyword(s):
Motor Imagery
◽
Subject Specific
◽
Eeg Features
Download Full-text
Related Documents
Cited By
References
Classification of Motor Imagery EEG recordings with Subject Specific Time-Frequency Patterns
2006 IEEE 14th Signal Processing and Communications Applications
◽
10.1109/siu.2006.1659763
◽
2006
◽
Author(s):
N.F. Ince
◽
S. Arica
◽
A. Tewfik
Keyword(s):
Motor Imagery
◽
Specific Time
◽
Time Frequency
◽
Subject Specific
◽
Eeg Recordings
Download Full-text
Subject-specific channel selection for classification of motor imagery electroencephalographic data
2013 IEEE International Conference on Acoustics, Speech and Signal Processing
◽
10.1109/icassp.2013.6637856
◽
2013
◽
Cited By ~ 11
Author(s):
Yuan Yang
◽
Olexiy Kyrgyzov
◽
Joe Wiart
◽
Isabelle Bloch
Keyword(s):
Motor Imagery
◽
Channel Selection
◽
Subject Specific
◽
Selection For
Download Full-text
Separability of Motor Imagery Directions Using Subject-Specific Discriminative EEG Features
IEEE Transactions on Human-Machine Systems
◽
10.1109/thms.2021.3086009
◽
2021
◽
pp. 1-10
Author(s):
Kavitha Thomas
◽
Neethu Robinson
◽
Vinod Prasad
Keyword(s):
Motor Imagery
◽
Subject Specific
◽
Eeg Features
Download Full-text
Research on extraction and classification of EEG features for multi-class motor imagery
2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)
◽
10.1109/iaeac47372.2019.8998049
◽
2019
◽
Author(s):
Xuebin Tang
◽
Jinchuang Zhao
◽
Wenli Fu
Keyword(s):
Motor Imagery
◽
Eeg Features
Download Full-text
Phase synchrony in subject-specific reactive band of EEG for classification of motor imagery tasks
2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
◽
10.1109/embc.2013.6610118
◽
2013
◽
Cited By ~ 9
Author(s):
V. Gonuguntla
◽
Y. Wang
◽
K. C. Veluvolu
Keyword(s):
Motor Imagery
◽
Phase Synchrony
◽
Subject Specific
Download Full-text
Simultaneous Classification of Multiple Motor Imagery and P300 for Increase in Output Information of Brain-computer Interface
IEEJ Transactions on Electronics Information and Systems
◽
10.1541/ieejeiss.133.635
◽
2013
◽
Vol 133
(3)
◽
pp. 635-641
Author(s):
Genzo Naito
◽
Lui Yoshida
◽
Takashi Numata
◽
Yutaro Ogawa
◽
Kiyoshi Kotani
◽
...
Keyword(s):
Motor Imagery
◽
Brain Computer Interface
◽
Computer Interface
◽
Output Information
Download Full-text
A Single-trial Multi-class Classification of Various Motor Imagery Tasks for EEG-based Brain-computer Interface Communication
IEEJ Transactions on Sensors and Micromachines
◽
10.1541/ieejsmas.135.239
◽
2015
◽
Vol 135
(7)
◽
pp. 239-245
Author(s):
Tadanobu Misawa
◽
Jumpei Matsuda
◽
Shigeki Hirobayashi
Keyword(s):
Motor Imagery
◽
Brain Computer Interface
◽
Computer Interface
◽
Single Trial
◽
Multi Class Classification
Download Full-text
Classification of the four‐class motor imagery signals using continuous wavelet transform filter bank‐based two‐dimensional images
International Journal of Imaging Systems and Technology
◽
10.1002/ima.22593
◽
2021
◽
Author(s):
Rupesh Mahamune
◽
Shahedul H. Laskar
Keyword(s):
Wavelet Transform
◽
Motor Imagery
◽
Continuous Wavelet Transform
◽
Filter Bank
◽
Continuous Wavelet
◽
Two Dimensional
◽
Two Dimensional Images
Download Full-text
Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: a review
Neural Computing and Applications
◽
10.1007/s00521-021-06352-5
◽
2021
◽
Author(s):
Hamdi Altaheri
◽
Ghulam Muhammad
◽
Mansour Alsulaiman
◽
Syed Umar Amin
◽
Ghadir Ali Altuwaijri
◽
...
Keyword(s):
Deep Learning
◽
Motor Imagery
◽
Learning Techniques
◽
Electroencephalogram Eeg
Download Full-text
A Novel Scheme for Classification of Motor Imagery Signal using Stockwell Transform of CSP and CNN Model
2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
◽
10.1109/smc42975.2020.9282917
◽
2020
◽
Author(s):
Linze Qian
◽
Zhao Feng
◽
Hongying Hu
◽
Yu Sun
Keyword(s):
Motor Imagery
◽
Stockwell Transform
Download Full-text
Sign in / Sign up
Close
Export Citation Format
Close
Share Document
Close