Brain Computer Interface (BCI) technologies use neural activity to implement a direct communication channel for healthy and disable subjects. To achieve this, many investigations look to improve BCI precision by increasing the number of electrodes with standard configurations, ignoring inter- and intra-subject variability. To control this variability in event-related potential (ERP)-based BCIs we propose to investigate the cumulative peak difference, an intrinsic characteristic of ERP, as a measure for electrode selection. The results shown in this work indicate that the proposed method improved accuracy and bitrate in all analyzed electrode sets. Our work contributes to the management of inter- and intra-subject variability which helps to design accurate and low-cost BCIs.
|Original language||English (US)|
|State||Published - 12 Mar 2018|
|Event||2018 6th International Conference on Brain-Computer Interface (BCI) - GangWon, Korea, Republic of|
Duration: 15 Jun 2018 → 17 Jun 2018
|Conference||2018 6th International Conference on Brain-Computer Interface (BCI)|
|Country||Korea, Republic of|
|Period||15/06/18 → 17/06/18|