Human–Machine Interfaces Based on Bioelectric Signals: A Narrative Review with a Novel System Proposal. Issue 11 (7th June 2022)

• Record Type: Journal Article
• Authors: Hayashi, Hideaki; Tsuji, Toshio
• Is Part Of: IEEJ transactions on electrical and electronic engineering. Volume 17:Issue 11(2022)
• Page Start: 1536
• Page End: 1544
• Publication Date: 2022-06-07
• Subjects: electromyogram -- electroencephalogram -- human–machine interface; Electrical engineering -- Periodicals; Electronics -- Periodicals; 621.3
• DOI: 10.1002/tee.23646
• Languages: English
• ISSNs: 1931-4973

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.