Distribution Adaptation and Classification Framework Based on Multiple Kernel Learning for Motor Imagery BCI Illiteracy

• Published in: Sensors (Basel, Switzerland) Vol. 22; no. 17; p. 6572
• Main Authors: Tao, Lin, Cao, Tianao, Wang, Qisong, Liu, Dan, Sun, Jinwei
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 31.08.2022; MDPI
• Subjects: Adaptation; Algorithms; BCI illiteracy; Classification; Computer interfaces; Eidetic imagery; Electroencephalography; extreme learning machine; Illiteracy; Imagery (Psychology); Machine learning; maximum mean discrepancy; Methods; multiple kernels learning; random forest; Technology application; Testing; China

A brain-computer interface (BCI) translates a user’s thoughts such as motor imagery (MI) into the control of external devices. However, some people, who are defined as BCI illiteracy, cannot control BCI effectively. The main characteristics of BCI illiterate subjects are low classification rates and...