TY - GEN
T1 - Machine-learning based co-adaptive calibration
T2 - 5th International Conference on Hybrid Artificial Intelligence Systems, HAIS 2010
AU - Vidaurre, Carmen
AU - Sannelli, Claudia
AU - Müller, Klaus Robert
AU - Blankertz, Benjamin
PY - 2010
Y1 - 2010
N2 - "BCI illiteracy" is one of the biggest problems and challenges in BCI research. It means that BCI control cannot be achieved by a non-negligible number of subjects (estimated 20% to 25%). There are two main causes for BCI illiteracy in BCI users: either no SMR idle rhythm is observed over motor areas, or this idle rhythm is not attenuated during motor imagery, resulting in a classification performance lower than 70% (criterion level) already for offline calibration data. In a previous work of the same authors, the concept of machine learning based co-adaptive calibration was introduced. This new type of calibration provided substantially improved performance for a variety of users. Here, we use a similar approach and investigate to what extent co-adapting learning enables substantial BCI control for completely novice users and those who suffered from BCI illiteracy before.
AB - "BCI illiteracy" is one of the biggest problems and challenges in BCI research. It means that BCI control cannot be achieved by a non-negligible number of subjects (estimated 20% to 25%). There are two main causes for BCI illiteracy in BCI users: either no SMR idle rhythm is observed over motor areas, or this idle rhythm is not attenuated during motor imagery, resulting in a classification performance lower than 70% (criterion level) already for offline calibration data. In a previous work of the same authors, the concept of machine learning based co-adaptive calibration was introduced. This new type of calibration provided substantially improved performance for a variety of users. Here, we use a similar approach and investigate to what extent co-adapting learning enables substantial BCI control for completely novice users and those who suffered from BCI illiteracy before.
UR - https://www.scopus.com/pages/publications/77954572685
U2 - 10.1007/978-3-642-13769-3_50
DO - 10.1007/978-3-642-13769-3_50
M3 - Conference contribution
AN - SCOPUS:77954572685
SN - 3642137687
SN - 9783642137686
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 413
EP - 420
BT - Hybrid Artificial Intelligence Systems - 5th International Conference, HAIS 2010, Proceedings
Y2 - 23 June 2010 through 25 June 2010
ER -