Neural interface technology for human-computer interaction

Biomedical Engineering, College of Engineering, National University of Singapore, Singapore

^* Corresponding author: E1184240@u.nus.edu

Abstract

The Brain-Computer Interface (BCI) is a highly promising way to establish a direct link between the human brain and external computerised apparatus, enabling individuals with severe disabilities to interact with their external environment. By harnessing BCI technology, these individuals can exert control over specific computerized devices, ranging from computers and wheelchairs to neural prosthetics, thus facilitating meaningful interaction with the world around them. However, while BCI technology holds immense potential, several aspects remain in conceptual stages or are constrained by specific circumstances. This review offers a comprehensive exploration of the fundamental principles governing BCI classification. It also provides an overview of applications that BCI has to offer and its multifaceted utility, particularly in the application of neuroprostheses, in conjunction with FES, and in the rehabilitation of stroke and epilepsy. The review navigates through the landscape of BCI application technologies, elucidating their challenges, and constraints. After analyses, potential developments in BCI technology were identified, and possible future challenges were highlighted.