[HTML][HTML] Biosignal-based human–machine interfaces for assistance and rehabilitation: A survey
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 …
Starting from elementary equipment, the recent development of novel techniques and …
Electrically compensated, tattoo-like electrodes for epidermal electrophysiology at scale
Epidermal electrophysiology is widely carried out for disease diagnosis, performance
monitoring, human-machine interaction, etc. Compared with thick, stiff, and irritating gel …
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
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 …
and Augmented Communication is feasible. Additionally, they are particularly suitable in the …
EMG-to-speech: Direct generation of speech from facial electromyographic signals
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 …
acoustic signal is unavailable. Over the last years, public interest in such interfaces has …
Recent trends and challenges of surface electromyography in prosthetic applications
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 …
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 …
on articulatory neuromuscular activities, reducing difficulties in data acquirement and …
Tackling speaking mode varieties in EMG-based speech recognition
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 …
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 …
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 …
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) …
Current evaluation methods include needle and surface electromyography (sEMG) …