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 …

Multiuser gesture recognition using sEMG signals via canonical correlation analysis and optimal transport

B Xue, L Wu, K Wang, X Zhang, J Cheng… - Computers in Biology …, 2021 - Elsevier
Myoelectric interfaces have received much attention in the field of prosthesis control, neuro-
rehabilitation systems and human-computer interaction. However, when different users …

Parallel Robot.

A Deabs, FR Gomaa, K Khader - Journal of Engineering …, 2021 - search.ebscohost.com
The need to high performance, stability, and dexterity robot is the main motivation to improve
industrial robots, parallel robots are general-purpose industrial robots, that can give all …

[HTML][HTML] Revisiting Stewart–Gough platform applications: A kinematic pavilion

AA Markou, S Elmas, GH Filz - Engineering Structures, 2021 - Elsevier
Stewart–Gough platforms are well known for their extraordinary kinematic motion and
therefore they are widely used as devices, ranging from flight simulators to microsurgical …

Detecting the universal adversarial perturbations on high-density sEMG signals

B Xue, L Wu, A Liu, X Zhang, X Chen, X Chen - Computers in Biology and …, 2022 - Elsevier
Myoelectric pattern recognition is a promising approach for upper limb neuroprosthetic
control. Convolutional neural networks (CNN) are increasingly used in dealing with the …

Proportional myoelectric and compensating control of a cable-conduit mechanism-driven upper limb exoskeleton

F Xiao - ISA transactions, 2019 - Elsevier
Recent studies have indicated that human motion recognition based on surface
electromyography (sEMG) is a reliable and natural method for achieving motion intention …

Toward a bio-inspired rehabilitation aid: sEMG-CPG approach for online generation of jaw trajectories for a chewing robot

H Kalani, S Moghimi, A Akbarzadeh - Biomedical Signal Processing and …, 2019 - Elsevier
The purpose of this study was to develop a bio-inspired masticatory robot that generates real-
time trajectories, using surface electromyography signals (sEMG). We employed the central …

Assist-as-needed control of a hip exoskeleton, using central pattern generators in a stride management strategy

N Naghavi, A Akbarzadeh, O Khaniki, I Kardan… - Journal of Intelligent & …, 2023 - Springer
This paper proposes a novel stride management strategy for rehabilitation exoskeletons.
This method incorporates a Central Pattern Generator (CPG) into an Assist-As-Needed …

Synchronous muscle synergy evaluation of Jaw muscle activities during chewing at different speeds, a preliminary study

M Allami Sanjani, E Tahami, G Veisi - Brain Sciences, 2023 - mdpi.com
Human mastication is a complex and rhythmic biomechanical process regulated by the
central nervous system (CNS). Muscle synergies are a group of motor primitives that the …

Dynamic modeling and CPG-based trajectory generation for a masticatory rehab robot

H Kalani, A Akbarzadeh, SN Nabavi… - Intelligent Service …, 2018 - Springer
Human mastication is a complex and rhythmic biomechanical process which is regulated by
a brain stem central pattern generator (CPG). Masticatory patterns, frequency and amplitude …