Progress in Brain Computer Interfaces: Challenges and Trends

TL;DR

This paper reviews recent progress in brain computer interfaces, highlighting technological advances, challenges in signal processing, and the transition from laboratory research to practical daily applications.

Contribution

It provides a comprehensive overview of current trends, standardization efforts, and key challenges in advancing BCI technology for real-world use.

Findings

Development of common platforms for BCI standardization

Advances in handling complex brain dynamics and feature extraction

Identification of challenges for real-world BCI deployment

Abstract

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 artificial intelligence. Significant research efforts on a global scale have delivered common platforms for technology standardization and help tackle highly complex and nonlinear brain dynamics and related feature extraction and classification challenges. Psycho-neurophysiological phenomena 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 progress in BCI field and highlights critical challenges.