Laboratory of Brain Computer Interfaces, Technical University of Graz, A8010 Graz, Austria.
IEEE Trans Neural Syst Rehabil Eng. 2010 Apr;18(2):107-16. doi: 10.1109/TNSRE.2009.2039495. Epub 2010 Jan 15.
Brain-computer interface (BCI) systems enable communication without movement. It is unclear why some BCI approaches or parameters are less effective with some users. This study elucidates BCI demographics by exploring correlations among BCI performance, personal preferences, and different subject factors such as age or gender. Results showed that most people, despite having no prior BCI experience, could use the Bremen SSVEP BCI system in a very noisy field setting. Performance tended to be better in both young and female subjects. Most subjects stated that they did not consider the flickering stimuli annoying and would use or recommend this BCI system. These and other demographic analyses may help identify the best BCI for each user.
脑机接口(BCI)系统可实现无需移动的通信。目前尚不清楚为什么某些 BCI 方法或参数对某些用户的效果较差。本研究通过探索 BCI 性能、个人偏好以及年龄或性别等不同受试者因素之间的相关性,阐明了 BCI 的人口统计学特征。结果表明,尽管大多数人以前没有使用过 BCI,但他们可以在非常嘈杂的现场环境中使用不来梅 SSVEP BCI 系统。年轻和女性受试者的表现往往更好。大多数受试者表示,他们并不觉得闪烁的刺激物烦人,并且会使用或推荐这种 BCI 系统。这些和其他人口统计学分析可能有助于为每个用户确定最佳的 BCI。