Human--Machine Interfaces Based on Bioelectric Signals: A Narrative Review with a Novel System Proposal

Abstract

Bioelectric signals such as electromyogram (EMG) and electroencephalogram (EEG) reflect human internal states and intended actions, and have therefore been applied to various types of human–machine interfaces. Such biosignal-based interfaces are beneficial because they not only allow intuitive control of machines, but can also support persons with disabilities. In this paper, we review the recent studies on human–machine interfaces based on bioelectric signals including EMG and EEG signals. Furthermore, we introduce our recent work on the development of a brain–machine interface for domestic appliance control.

Hideaki Hayashi

Associate Professor

Hideaki Hayashi is an associate professor with D3 Center, Osaka University. His research interests focus on neural networks, machine learning, and medical data analysis.