Blankertz Benjamin, Tangermann Michael, Vidaurre Carmen, Fazli Siamac, Sannelli Claudia, Haufe Stefan, Maeder Cecilia, Ramsey Lenny, Sturm Irene, Curio Gabriel, Müller Klaus-Robert
Machine Learning Laboratory, Berlin Institute of Technology Berlin, Germany.
Front Neurosci. 2010 Dec 8;4:198. doi: 10.3389/fnins.2010.00198. eCollection 2010.
Brain-computer interfacing (BCI) is a steadily growing area of research. While initially BCI research was focused on applications for paralyzed patients, increasingly more alternative applications in healthy human subjects are proposed and investigated. In particular, monitoring of mental states and decoding of covert user states have seen a strong rise of interest. Here, we present some examples of such novel applications which provide evidence for the promising potential of BCI technology for non-medical uses. Furthermore, we discuss distinct methodological improvements required to bring non-medical applications of BCI technology to a diversity of layperson target groups, e.g., ease of use, minimal training, general usability, short control latencies.
脑机接口（BCI）是一个不断发展的研究领域。虽然最初BCI研究主要集中在瘫痪患者的应用上，但越来越多针对健康人类受试者的其他应用被提出并得到研究。特别是，对心理状态的监测和隐蔽用户状态的解码受到了极大关注。在此，我们展示一些此类新应用的例子，这些例子为BCI技术在非医疗用途方面的广阔潜力提供了证据。此外，我们还讨论了将BCI技术的非医疗应用推广到不同普通用户群体所需的不同方法改进，例如易用性、最少培训、普遍适用性、短控制延迟。
