A review of the key technologies for sEMG-based human-robot interaction systems
K Li, J Zhang, L Wang, M Zhang, J Li, S Bao - … Signal Processing and …, 2020 - Elsevier
As physiological signals that are closely related to human motion, surface electromyography
(sEMG) signals have been widely used in human-robot interaction systems (HRISs). Some …
(sEMG) signals have been widely used in human-robot interaction systems (HRISs). Some …
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 …
Exploration of force myography and surface electromyography in hand gesture classification
Whereas pressure sensors increasingly have received attention as a non-invasive interface
for hand gesture recognition, their performance has not been comprehensively evaluated …
for hand gesture recognition, their performance has not been comprehensively evaluated …
Active human-following control of an exoskeleton robot with body weight support
This article presents an active human-following control of the lower limb exoskeleton for gait
training. First, to improve safety, considering the human balance, the OpenPose-based …
training. First, to improve safety, considering the human balance, the OpenPose-based …
A low-cost end-to-end sEMG-based gait sub-phase recognition system
R Luo, S Sun, X Zhang, Z Tang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
As surface electromyogram (sEMG) signals have the ability to detect human movement
intention, they are commonly used to be control inputs. However, gait sub-phase …
intention, they are commonly used to be control inputs. However, gait sub-phase …
Wrist angle prediction under different loads based on GA‐ELM neural network and surface electromyography
Y Liu, C Li, D Jiang, B Chen, N Sun… - Concurrency and …, 2022 - Wiley Online Library
In sEMG (surface electromyography) pattern recognition, most of the research focuses on
the static pattern recognition of different limbs, ignoring the importance of changing load …
the static pattern recognition of different limbs, ignoring the importance of changing load …
Estimation of EMG-based force using a neural-network-based approach
The dynamics of human arms has a high impact on the humans' activities in daily life,
especially when a human operates a tool such as interactions with a robot with the need for …
especially when a human operates a tool such as interactions with a robot with the need for …
Development of a sEMG-based torque estimation control strategy for a soft elbow exoskeleton
L Lu, Q Wu, X Chen, Z Shao, B Chen, H Wu - Robotics and Autonomous …, 2019 - Elsevier
Motor dysfunction has become a serious threat to the health of older people and the patients
with neuromuscular impairment. The application of exoskeleton to motion assistance has …
with neuromuscular impairment. The application of exoskeleton to motion assistance has …
Effect of velocity and acceleration in joint angle estimation for an EMG-Based upper-limb exoskeleton control
Most studies on estimating user's joint angles to control upper-limb exoskeleton have
focused on using surface electromyogram (sEMG) signals. However, the variations in limb …
focused on using surface electromyogram (sEMG) signals. However, the variations in limb …
Motion estimation from surface electromyogram using adaboost regression and average feature values
F **ao, Y Wang, L He, H Wang, W Li, Z Liu - IEEE Access, 2019 - ieeexplore.ieee.org
The method to estimate joint motion quickly and accurately from surface electromyogram
(sEMG) has been explored by many researchers. However, the effect of different grabbing …
(sEMG) has been explored by many researchers. However, the effect of different grabbing …