Towards natural human computer interaction in BCI

Daly, I., Nasuto, S.J. ORCID: https://orcid.org/0000-0001-9414-9049 and Warwick, K. (2008) Towards natural human computer interaction in BCI. In: AISB 2008, Aberdeen, UK.

Abstract/Summary

BCI systems require correct classification of signals interpreted from the brain for useful operation. To this end this paper investigates a method proposed in [1] to correctly classify a series of images presented to a group of subjects in [2]. We show that it is possible to use the proposed methods to correctly recognise the original stimuli presented to a subject from analysis of their EEG. Additionally we use a verification set to show that the trained classification method can be applied to a different set of data. We go on to investigate the issue of invariance in EEG signals. That is, the brain representation of similar stimuli is recognisable across different subjects. Finally we consider the usefulness of the methods investigated towards an improved BCI system and discuss how it could potentially lead to great improvements in the ease of use for the end user by offering an alternative, more intuitive control based mode of operation.