Abstract
Many Brain computer interfaces use active mental tasks such as a user’s imagined hand movement to generate a signature EEG signal calibrated to a specific command. This is often specific to the individual who has trained the BCI (Brain Computer Interface) over a period of time. To allow multiple users to use an interface without training will help facilitate transferability across subjects, especially with patients whose disability impairs the possibility of full training. The current study examines the use of the memory recall of humour and moving imagery for activating braining computer interfaces, results show that humour is a response that is classifiable for BCI, with high success rates when used with one’s own calibration signature (82.9%) or someone else’s calibrated signature (80.0%).
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Izzidien, A., Roula, M.A., Mallipudi, S., Ogirala, S.K.C., Bantupalli, S. (2012). Brain Computer Interfacing Using Humour and Memory Recall. In: Huang, T., Zeng, Z., Li, C., Leung, C.S. (eds) Neural Information Processing. ICONIP 2012. Lecture Notes in Computer Science, vol 7663. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34475-6_82
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DOI: https://doi.org/10.1007/978-3-642-34475-6_82
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