Title | ||
---|---|---|
Multimodal Fuzzy Fusion for Enhancing the Motor-Imagery-Based Brain Computer Interface. |
Abstract | ||
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Brain-computer interface technologies, such as steady-state visually evoked potential, P300, and motor imagery are methods of communication between the human brain and the external devices. Motor imagery-based brain-computer interfaces are popular because they avoid unnecessary external stimuli. Although feature extraction methods have been illustrated in several machine intelligent systems in mot... |
Year | DOI | Venue |
---|---|---|
2019 | 10.1109/MCI.2018.2881647 | IEEE Computational Intelligence Magazine |
Keywords | Field | DocType |
Electroencephalography,Feature extraction,Brain-computer interfaces,Performance evaluation,Data acquisition,Standards,Transforms | Pattern recognition,Intelligent decision support system,Computer science,Data acquisition,Fuzzy logic,Brain–computer interface,Feature extraction,Artificial intelligence,Fuzzy fusion,Electroencephalography,Machine learning,Motor imagery | Journal |
Volume | Issue | ISSN |
14 | 1 | 1556-603X |
Citations | PageRank | References |
5 | 0.38 | 0 |
Authors | ||
10 |
Name | Order | Citations | PageRank |
---|---|---|---|
Li-Wei Ko | 1 | 519 | 58.70 |
Yi-Chen Lu | 2 | 5 | 0.38 |
Humberto Bustince | 3 | 1938 | 134.10 |
yucheng chang | 4 | 8 | 1.73 |
Yang Chang | 5 | 5 | 0.38 |
Javier Fernandez | 6 | 782 | 46.37 |
Yu-Kai Wang | 7 | 74 | 16.92 |
José Antonio Sanz | 8 | 429 | 23.40 |
Graçaliz Pereira Dimuro | 9 | 667 | 43.93 |
Chin-Teng Lin | 10 | 3840 | 392.55 |