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Is it significant? Guidelines for reporting BCI performance

Billinger, M., Daly, I., Kaiser, V., Jin, J., Allison, B. and Mueller-Putz, G. (2013) Is it significant? Guidelines for reporting BCI performance. In: Allison, B. Z., Dunne, S., Leeb, R., Millan, J. D. R. and Nijholt, A. (eds.) Towards Practical Brain-Computer Interfaces. Springer, pp. 333-354. ISBN 9783642297458

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To link to this item DOI: 10.1007/978-3-642-29746-5_17

Abstract/Summary

Recent growth in brain-computer interface (BCI) research has increased pressure to report improved performance. However, different research groups report performance in different ways. Hence, it is essential that evaluation procedures are valid and reported in sufficient detail. In this chapter we give an overview of available performance measures such as classification accuracy, cohen’s kappa, information transfer rate (ITR), and written symbol rate. We show how to distinguish results from chance level using confidence intervals for accuracy or kappa. Furthermore, we point out common pitfalls when moving from offline to online analysis and provide a guide on how to conduct statistical tests on (BCI) results.

Item Type:Book or Report Section
Refereed:Yes
Divisions:Faculty of Life Sciences > School of Biological Sciences > Department of Bio-Engineering
No Reading authors. Back catalogue items
ID Code:40599
Publisher:Springer

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