title: Subject-oriented training for motor imagery brain-computer interfaces.
abstract: Successful operation of motor imagery (MI)-based brain-computer interfaces (BCI) requires mutual adaptation between the human subject and the BCI. Traditional training methods, as well as more recent ones based on co-adaptation, have mainly focused on the machine-learning aspects of BCI training. This work presents a novel co-adaptive training protocol shifting the focus on subject-related performances and the optimal accommodation of the interactions between the two learning agents of the BCI loop. Preliminary results with 8 able-bodied individuals demonstrate that the proposed method has been able to bring 3 naive users into control of a MI BCI within a few runs and to improve the BCI performances of 3 experienced BCI users by an average of 0.36 bits/sec.
authors.forename: Serafeim
authors.initials: S
authors.lastname: Perdikis
authors.forename: Robet
authors.initials: R
authors.lastname: Leeb
authors.forename: José del R
authors.initials: Jdel R
authors.lastname: Millán
mesh_terms: D000328:Adult; D000465:Algorithms; D062207:Brain-Computer Interfaces; D005260:Female; D006801:Humans; D019018:Imagery, Psychotherapy; D008297:Male; D009043:Motor Activity