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Multimodal Fuzzy Fusion for Enhancing the Motor-Imagery-Based Brain Computer Interface
2019
IEEE Computational Intelligence Magazine
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 motor imagery-based brain-computer interface studies, the performance remains unsatisfactory. There is
doi:10.1109/mci.2018.2881647
fatcat:d3qu6lhzi5ggreydwggi7ofbkq