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

Hideaki Hayashi, Toshio Tsuji

2022IEEJ Transactions on Electrical and Electronic Engineering27 citationsDOI

Abstract

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. © 2022 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

Topics & Concepts

BiosignalHuman–machine interfaceElectroencephalographyComputer scienceInterface (matter)Human–machine systemBrain–computer interfaceHuman–computer interactionControl (management)Artificial intelligenceControl engineeringEngineeringNeurosciencePsychologyComputer visionFilter (signal processing)Parallel computingMaximum bubble pressure methodBubbleEEG and Brain-Computer InterfacesGaze Tracking and Assistive TechnologyMuscle activation and electromyography studies