Surface electromyography characteristics for motion intention recognition and implementation issues in lower-limb exoskeletons
Recognizing the user's motion intentions is a crucial challenge to develop human
augmented robotic devices due to safety and easiness of interactions. Among the possible …
augmented robotic devices due to safety and easiness of interactions. Among the possible …
Electromyography assessment of the assistance provided by an upper-limb exoskeleton in maintenance tasks
In this paper, the analysis of the intensity of muscle activations in different subjects when
they perform an industrial task in a repetitive way assisted by a robotic upper-limb …
they perform an industrial task in a repetitive way assisted by a robotic upper-limb …
Estimation of lower limb kinematics during squat task in different loading using sEMG activity and deep recurrent neural networks
The aim of the present study was to predict the kinematics of the knee and the ankle joints
during a squat training task of different intensities. Lower limb surface electromyographic …
during a squat training task of different intensities. Lower limb surface electromyographic …
A novel algorithm for EMG signal processing and muscle timing measurement
This paper presents a new method for the automated processing of surface
electromyography (SEMG) signals, particularly suited for the detection of muscle activation …
electromyography (SEMG) signals, particularly suited for the detection of muscle activation …
Non-invasive techniques to assess muscle fatigue using biosensors: A review
M Sarillee, M Hariharan, MN Anas… - 2014 IEEE 5th …, 2014 - ieeexplore.ieee.org
Muscle fatigue is a common muscle condition which experiences in our daily activity. Muscle
fatigue occur when the muscle fail to provide expected force. Electromyography (EMG) has …
fatigue occur when the muscle fail to provide expected force. Electromyography (EMG) has …
MEFFNet: Forecasting Myoelectric Indices of Muscle Fatigue in Healthy and Post-Stroke During Voluntary and FES-Induced Dynamic Contractions
Myoelectric indices forecasting is important for muscle fatigue monitoring in wearable
technologies, adaptive control of assistive devices like exoskeletons and prostheses …
technologies, adaptive control of assistive devices like exoskeletons and prostheses …
A human-adaptive model for user performance and fatigue evaluation during gaze-tracking tasks
Eye gaze interfaces are an emerging technology that allows users to control graphical user
interfaces (GUIs) simply by looking at them. However, using gaze-controlled GUIs can be a …
interfaces (GUIs) simply by looking at them. However, using gaze-controlled GUIs can be a …
ANN-based EMG classification for myoelectric control
RJ Oweis, R Rihani… - International Journal of …, 2014 - inderscienceonline.com
This work presents a new neural network model related to EMG signal classification for
myoelectric control. The aim of this work is to develop a more accurate method for pattern …
myoelectric control. The aim of this work is to develop a more accurate method for pattern …
Continuous estimation of knee joint angle during squat from sEMG using artificial neural networks
AR Zangene, A Abbasi - 2020 27th National and 5th …, 2020 - ieeexplore.ieee.org
The purpose of this research was to continuous knee joint angle estimation from sEMG
during squat using artificial neural networks. sEMG signals of vastus medialis, rectus …
during squat using artificial neural networks. sEMG signals of vastus medialis, rectus …
An empirical and subjective model of upper extremity fatigue under hypogravity
In the context of extra-terrestrial missions, the effects of hypogravity (0< G< 1) on the human
body can reduce the well-being of the crew, cause musculoskeletal problems and affect their …
body can reduce the well-being of the crew, cause musculoskeletal problems and affect their …