A subject-transfer framework for obviating inter- and intra-subject variability in EEG-based drowsiness detection

• Published in: NeuroImage (Orlando, Fla.) Vol. 174; pp. 407 - 419
• Main Authors: Wei, Chun-Shu, Lin, Yuan-Pin, Wang, Yu-Te, Lin, Chin-Teng, Jung, Tzyy-Ping
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.07.2018; Elsevier Limited
• Subjects: Brain-computer interface (BCI); Calibration; Data processing; Drowsiness; EEG; EEG baseline; Electroencephalogram (EEG); Electroencephalography; Hierarchical cluster analysis (HCA); Interfaces; Subject-transfer decoding; Drowsiness; Brain-computer interface (BCI); Subject-transfer decoding; Electroencephalogram (EEG); Hierarchical cluster analysis (HCA); EEG baseline

Inter- and intra-subject variability pose a major challenge to decoding human brain activity in brain-computer interfaces (BCIs) based on non-invasive electroencephalogram (EEG). Conventionally, a time-consuming and laborious training procedure is performed on each new user to collect sufficient ind...