Evaluation of feature extraction and recognition for activity monitoring and fall detection based on wearable sEMG sensors
X Xi, M Tang, SM Miran, Z Luo - Sensors, 2017 - mdpi.com
As an essential subfield of context awareness, activity awareness, especially daily activity
monitoring and fall detection, plays a significant role for elderly or frail people who need …
monitoring and fall detection, plays a significant role for elderly or frail people who need …
Individualized gait pattern generation for sharing lower limb exoskeleton robot
The development of sharing technology makes it possible for expensive lower limb
exoskeleton robots to be extensively employed. However, due to the uniqueness of gait …
exoskeleton robots to be extensively employed. However, due to the uniqueness of gait …
Intelligent mobile walking-aids: perception, control and safety
Robot-assisted walking has become a popular research field for helping mobility-limited
people to walk more easily. Different from other walking-aid devices (eg exoskeletons and …
people to walk more easily. Different from other walking-aid devices (eg exoskeletons and …
sEMG-based consecutive estimation of human lower limb movement by using multi-branch neural network
Surface electromyography (sEMG) has the potential for human lower limb movement
analysis, including gait phases recognition and joint angle estimation, which can provide a …
analysis, including gait phases recognition and joint angle estimation, which can provide a …
Real-time gait phase recognition based on time domain features of multi-MEMS inertial sensors
M Zhang, Q Wang, D Liu, B Zhao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Gait phase analysis is widely used in disease diagnosis, rehabilitation training, and other
fields by studying the characteristics of human gait. It systematically evaluates human body's …
fields by studying the characteristics of human gait. It systematically evaluates human body's …
Effective recognition of human lower limb jump locomotion phases based on multi-sensor information fusion and machine learning
Jump locomotion is the basic movement of human. However, no thorough research on the
recognition of jump sub-phases has been carried so far. This paper aims to use multi-sensor …
recognition of jump sub-phases has been carried so far. This paper aims to use multi-sensor …
A Survey of Wearable Lower Extremity Neurorehabilitation Exoskeleton: Sensing, Gait Dynamics, and Human–Robot Collaboration
The lower extremity exoskeleton, which can sense the neural motion state of the human
body and then provide motion assistance, is gradually replacing the traditional wheelchairs …
body and then provide motion assistance, is gradually replacing the traditional wheelchairs …
MCDCD: Multi-source unsupervised domain adaptation for abnormal human gait detection
For gait analysis, especially for the detection of subtle gait abnormalities, the collected
datasets involve high variability across subjects due to inherent biometric traits and …
datasets involve high variability across subjects due to inherent biometric traits and …
[HTML][HTML] Evaluation of hand-crafted feature extraction for fault diagnosis in rotating machinery: a survey
This article presents a comprehensive collection of formulas and calculations for hand-
crafted feature extraction of condition monitoring signals. The documented features include …
crafted feature extraction of condition monitoring signals. The documented features include …
Feature set to sEMG classification obtained with Fisher Score
DC Toledo-Pérez, M Aviles, RA Toledo-Pérez… - IEEE …, 2024 - ieeexplore.ieee.org
The best way to represent EMG signals for classification is a topic that has been widely
studied due to the need to improve precision when identifying the type of movement being …
studied due to the need to improve precision when identifying the type of movement being …