A review of force myography research and development

ZG Xiao, C Menon - Sensors, 2019 - mdpi.com
Information about limb movements can be used for monitoring physical activities or for
human-machine-interface applications. In recent years, a technique called Force Myography …

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 …

Toward robust, adaptiveand reliable upper-limb motion estimation using machine learning and deep learning–A survey in myoelectric control

T Bao, SQ Xie, P Yang, P Zhou… - IEEE journal of …, 2022 - ieeexplore.ieee.org
To develop multi-functionalhuman-machine interfaces that can help disabled people
reconstruct lost functions of upper-limbs, machine learning (ML) and deep learning (DL) …

Toward an enhanced human–machine interface for upper-limb prosthesis control with combined EMG and NIRS signals

W Guo, X Sheng, H Liu, X Zhu - IEEE Transactions on Human …, 2017 - ieeexplore.ieee.org
Advanced myoelectric prosthetic hands are currently limited due to the lack of sufficient
signal sources on amputation residual muscles and inadequate real-time control …

Non-invasive human-machine interface (HMI) systems with hybrid on-body sensors for controlling upper-limb prosthesis: A review

H Zhou, G Alici - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
In this work, we present a systematic review on non-invasive HMIs employing hybrid
wearable sensor modalities for recognition of upper limb intentions. Different combinations …

Mechanomyography assisted myoeletric sensing for upper-extremity prostheses: A hybrid approach

W Guo, X Sheng, H Liu, X Zhu - IEEE Sensors Journal, 2017 - ieeexplore.ieee.org
The myoelectric upper-limb prosthetic manipulation is inherently limited by the unreliable
sensor-skin interface. This paper presents a hybrid approach to overcome the limitation of …

Hand gesture recognition by a MMG-based wearable device

MK Liu, YT Lin, ZW Qiu, CK Kuo… - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
A novel wearable human machine interface based on mechanomyogram (MMG) signals
was presented in this study. A three-axis accelerometer was fixed to a customized watch …

Performance of forearm FMG and sEMG for estimating elbow, forearm and wrist positions

ZG Xiao, C Menon - Journal of Bionic Engineering, 2017 - Springer
The ability to track upper extremity movement during activity of daily living has the potential
to facilitate the recovery of individuals with neurological or physical injuries. Hence, the use …

Toward an integrated multi-modal sEMG/MMG/NIRS sensing system for human–machine interface robust to muscular fatigue

X Sheng, X Ding, W Guo, L Hua, M Wang… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
The research on muscular activity based human-machine interface (HMI) is of great
significance, such as controlling prosthetic hand to improve the life quality of amputee …

A new wearable ultrasound muscle activity sensing system for dexterous prosthetic control

N Hettiarachchi, Z Ju, H Liu - 2015 IEEE International …, 2015 - ieeexplore.ieee.org
In this paper we introduce a novel Wearable Ultrasound Radial Muscle Activity Detection
System (WURMADS) and a demonstration of its ability to recognize forearm muscle activities …