作者: P Aricò , F Aloise , F Schettini , S Salinari , D Mattia
DOI: 10.1088/1741-2560/11/3/035008
关键词: Speech recognition 、 Modality (human–computer interaction) 、 Evoked potential 、 Eye movement 、 Latency jitter 、 Computer science 、 Event-related potential 、 Covert 、 Brain–computer interface 、 Jitter
摘要: Objective. Several ERP-based brain–computer interfaces (BCIs) that can be controlled even without eye movements (covert attention) have been recently proposed. However, when compared to similar systems based on overt attention, they displayed significantly lower accuracy. In the current interpretation, this is ascribed absence of contribution short-latency visual evoked potentials (VEPs) in tasks performed covert attention modality. This study aims investigate if decrement (i) fully explained by lack VEP classification accuracy; (ii) correlates with temporal stability single-trial P300 elicited Approach. We evaluated latency jitter three BCI exploiting either or modalities 20 healthy subjects. The effect modality jitter, and relative VEPs accuracy analyzed. Main results. higher attention. Classification negatively jitter. Even disregarding VEPs, overt-attention yields better than covert. When compensated offline, difference between accuracies not significant. Significance. potential generated during should regarded as main contributing explanation covert-attention BCIs.