A review on EMG-based motor intention prediction of continuous human upper limb motion for human-robot collaboration
Electromyography (EMG) signal is one of the widely used biological signals for human motor
intention prediction, which is an essential element in human-robot collaboration systems …
intention prediction, which is an essential element in human-robot collaboration systems …
A review on electromyography decoding and pattern recognition for human-machine interaction
This paper presents a literature review on pattern recognition of electromyography (EMG)
signals and its applications. The EMG technology is introduced and the most relevant …
signals and its applications. The EMG technology is introduced and the most relevant …
Haptics electromyography perception and learning enhanced intelligence for teleoperated robot
Due to the lack of transparent and friendly human-robot interaction (HRI) interface, as well
as various uncertainties, it is usually a challenge to remotely manipulate a robot to …
as various uncertainties, it is usually a challenge to remotely manipulate a robot to …
Review on electromyography based intention for upper limb control using pattern recognition for human-machine interaction
A Asghar, S Jawaid Khan, F Azim… - Proceedings of the …, 2022 - journals.sagepub.com
Upper limb myoelectric prosthetic control is an essential topic in the field of rehabilitation.
The technique controls prostheses using surface electromyogram (sEMG) and intramuscular …
The technique controls prostheses using surface electromyogram (sEMG) and intramuscular …
Human activity monitoring system based on wearable sEMG and accelerometer wireless sensor nodes
Background The human activity monitoring technology is one of the most important
technologies for ambient assisted living, surveillance-based security, sport and fitness …
technologies for ambient assisted living, surveillance-based security, sport and fitness …
Non-invasive analysis of motor unit activation during simultaneous and continuous wrist movements
Surface electromyography (EMG) signals have shown promising applications in human-
machine interfacing (HMI) systems such as orthotics, prosthetics, and exoskeletons …
machine interfacing (HMI) systems such as orthotics, prosthetics, and exoskeletons …
A novel multi-feature fusion network with spatial partitioning strategy and cross-attention for armband-based gesture recognition
Effectively integrating the time-space-frequency information of multi-modal signals from
armband sensor, including surface electromyogram (sEMG) and accelerometer data, is …
armband sensor, including surface electromyogram (sEMG) and accelerometer data, is …
Human activity recognition using accelerometer and photoplethysmographic signals
This paper presents an efficient technique for real-time recognition of human activities by
using accelerometer and photoplethysmography (PPG) data. It is based on singular value …
using accelerometer and photoplethysmography (PPG) data. It is based on singular value …
Energy and performance analysis of lossless compression algorithms for wireless EMG sensors
Electromyography (EMG) sensors produce a stream of data at rates that can easily saturate
a low-energy wireless link such as Bluetooth Low Energy (BLE), especially if more than a …
a low-energy wireless link such as Bluetooth Low Energy (BLE), especially if more than a …
[HTML][HTML] Compressed spike-triggered averaging in iterative decomposition of surface EMG
J Lundsberg, A Björkman, N Malesevic… - Computer Methods and …, 2023 - Elsevier
Abstract Background and Objective Analysis of motor unit activity is important for assessing
and treating diseases or injuries affecting natural movement. State-of-the-art decomposition …
and treating diseases or injuries affecting natural movement. State-of-the-art decomposition …