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

Hideaki Hayashi, Toshio Tsuji

Research output: Contribution to journalReview articlepeer-review

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.

Original languageEnglish
JournalIEEJ Transactions on Electrical and Electronic Engineering
DOIs
Publication statusAccepted/In press - 2022

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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