[HTML][HTML] Biosignal-based human–machine interfaces for assistance and rehabilitation: A survey

D Esposito, J Centracchio, E Andreozzi, GD Gargiulo… - Sensors, 2021 - mdpi.com
As a definition, Human–Machine Interface (HMI) enables a person to interact with a device.
Starting from elementary equipment, the recent development of novel techniques and …

Electrically compensated, tattoo-like electrodes for epidermal electrophysiology at scale

Y Wang, L Yin, Y Bai, S Liu, L Wang, Y Zhou, C Hou… - Science …, 2020 - science.org
Epidermal electrophysiology is widely carried out for disease diagnosis, performance
monitoring, human-machine interaction, etc. Compared with thick, stiff, and irritating gel …

[HTML][HTML] Alternative communication systems for people with severe motor disabilities: a survey

CG Pinheiro, ELM Naves, P Pino, E Losson… - Biomedical engineering …, 2011 - Springer
We have now sufficient evidence that using electrical biosignals in the field of Alternative
and Augmented Communication is feasible. Additionally, they are particularly suitable in the …

EMG-to-speech: Direct generation of speech from facial electromyographic signals

M Janke, L Diener - IEEE/ACM Transactions on Audio, Speech …, 2017 - ieeexplore.ieee.org
Silent speech interfaces are systems that enable speech communication even when an
acoustic signal is unavailable. Over the last years, public interest in such interfaces has …

Recent trends and challenges of surface electromyography in prosthetic applications

D Yadav, K Veer - Biomedical Engineering Letters, 2023 - Springer
Surface electromyography (sEMG) meets extensive applications in the field of prosthesis in
the current period. The effectiveness of sEMG in prosthesis applications has been verified by …

[HTML][HTML] Silent speech decoding using spectrogram features based on neuromuscular activities

Y Wang, M Zhang, RM Wu, H Gao, M Yang, Z Luo, G Li - Brain sciences, 2020 - mdpi.com
Silent speech decoding is a novel application of the Brain–Computer Interface (BCI) based
on articulatory neuromuscular activities, reducing difficulties in data acquirement and …

Tackling speaking mode varieties in EMG-based speech recognition

M Wand, M Janke, T Schultz - IEEE transactions on biomedical …, 2014 - ieeexplore.ieee.org
An electromyographic (EMG) silent speech recognizer is a system that recognizes speech
by capturing the electric potentials of the human articulatory muscles, thus enabling the user …

Improving perceptual speech ratings: The effects of auditory training on judgments of dysarthric speech

KL Stipancic, M Golzy, Y Zhao, L Pinkerton… - Journal of Speech …, 2023 - ASHA
Purpose: Auditory training has been shown to reduce rater variability in perceptual voice
assessment. Because rater variability is also a central issue in the auditory-perceptual …

Electrical activity of extrinsic laryngeal muscles in subjects with and without dysphonia

PMM Balata, HJ Silva, LA Pernambuco, GO Amorim… - Journal of voice, 2015 - Elsevier
Objective To compare dysphonic individuals to nondysphonic with regards to electrical
activity of extrinsic laryngeal muscles related to perceptual and acoustic vocal parameters …

High‐density surface electromyography: A visualization method of laryngeal muscle activity

DJ Bracken, G Ornelas, TP Coleman… - The …, 2019 - Wiley Online Library
Objectives/Hypothesis Laryngeal muscle activation is a complex and dynamic process.
Current evaluation methods include needle and surface electromyography (sEMG) …