UPDF AI

Progress in Brain Computer Interface: Challenges and Opportunities

S. Saha,K. Mamun,5 作者,M. Baumert

2019 · DOI: 10.3389/fnsys.2021.578875
Frontiers in Systems Neuroscience · 引用数 253

TLDR

Progress in BCI field is summarized and critical challenges are highlighted to help tackle highly complex and nonlinear brain dynamics and related feature extraction and classification challenges.

摘要

Brain computer interfaces (BCI) provide a direct communication link between the brain and a computer or other external devices. They offer an extended degree of freedom either by strengthening or by substituting human peripheral working capacity and have potential applications in various fields such as rehabilitation, affective computing, robotics, gaming, and neuroscience. Significant research efforts on a global scale have delivered common platforms for technology standardization and help tackle highly complex and non-linear brain dynamics and related feature extraction and classification challenges. Time-variant psycho-neurophysiological fluctuations and their impact on brain signals impose another challenge for BCI researchers to transform the technology from laboratory experiments to plug-and-play daily life. This review summarizes state-of-the-art progress in the BCI field over the last decades and highlights critical challenges.