A Survey on Brain-Computer Interface and Related Applications

TL;DR

This survey reviews recent advances in brain-computer interface (BCI) systems, highlighting applications, challenges, and future directions for improving robustness and real-world usability for people with disabilities.

Contribution

It provides a comprehensive overview of recent BCI research, applications, key issues, and future research directions, emphasizing real-world deployment and robustness.

Findings

BCI applications span communication and control for disabled users.

Challenges include system robustness and long-term usability.

Future directions focus on improving real-world applicability.

Abstract

BCI systems are able to communicate directly between the brain and computer using neural activity measurements without the involvement of muscle movements. For BCI systems to be widely used by people with severe disabilities, long-term studies of their real-world use are needed, along with effective and feasible dissemination models. In addition, the robustness of the BCI systems' performance should be improved so they reach the same level of robustness as natural muscle-based health monitoring. In this chapter, we review the recent BCI related studies, followed by the most relevant applications of BCI systems. We also present the key issues and challenges which exist in regard to the BCI systems and also provide future directions.