Abstract
To implement a practical brain–computer interface (BCI) for daily use, continuing changes in postures while performing daily tasks must be considered in the design of BCIs. To examine whether the performance of a BCI could depend on postures, we compared the online performance of P300-based BCIs built to select TV channels when subjects took sitting, recline, supine, and right lateral recumbent postures during BCI use. Subjects self-reported the degrees of interference, comfort, and familiarity after BCI control in each posture. We found no significant difference in the BCI performance as well as the amplitude and latency of P300 and N200 among the four postures. However, when we compared BCI accuracy outcomes normalized within individuals between two cases where subjects reported relatively more positively or more negatively about using the BCI in a particular posture, we found higher BCI accuracy in those postures for which individual subjects reported more positively. As a result, although the change of postures did not affect the overall performance of P300-based BCIs, the BCI performance varied depending on the degree of postural comfort felt by individual subjects. Our results suggest considering the postural comfort felt by individual BCI users when using a P300-based BCI at home.
Highlights
A brain–computer interface (BCI) enables people to communicate with the external world by conveying the translation of brain activity directly without passing through a normal output pathway involving the utilization of muscles for delivering a user’s commands or message [1]
BCIs, this study investigated the effect of static posture on the operation of a P300-based
In the online BCI experiment, subjects performed the task of controlling TV channels using the P300-based BCI system in four different postures that were likely most frequently taken when watching TV in daily life
Summary
A brain–computer interface (BCI) enables people to communicate with the external world by conveying the translation of brain activity directly without passing through a normal output pathway involving the utilization of muscles for delivering a user’s commands or message [1]. For non-invasive BCIs based on scalp electroencephalography (EEG), commonly used types of features include a steady-state visual evoked potential (SSVEP), an event-related potential (ERP), and sensorimotor rhythms (SMRs). As the main purpose of BCIs has been to provide means of communication and controlling devices for people with motor disabilities, the application of BCIs in a real-life environment out of a laboratory needs to be taken into consideration. The use of BCIs in daily living environments is substantially different from conducting BCI experiments in a laboratory in several aspects [8]. People are likely to take various postures (e.g., lying and sitting) when they use a BCI in daily living environments, whereas participants in BCI experiments are typically comfortably seated on an armchair in an isolated environment
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