Prosthetic Leg Locomotion-Mode Identification Based on High-Order Zero-Crossing Analysis Surface Electromyography
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Shanghai Jiaotong University (Science)"
DOI: 10.1007/s12204-020-2249-1
Abstract: The research purpose was to improve the accuracy in identifying the prosthetic leg locomotion mode. Surface electromyography (sEMG) combined with high-order zero-crossing was used to identify the prosthetic leg locomotion modes. sEMG signals recorded from… read more here.
Keywords: prosthetic leg; locomotion; high order; locomotion mode ... See more keywords
Electromyographic Signal-Driven Continuous Locomotion Mode Identification Module Design for Lower Limb Prosthesis Control
Sign Up to like & getrecommendations! Published in 2018 at "Arabian Journal for Science and Engineering"
DOI: 10.1007/s13369-018-3193-3
Abstract: The purpose of current research work is to extract physiological information form surface electromyographic signal (sEMG) in efficient manner for different human locomotion and utilize it for lower limb prosthesis control. The proposed locomotion mode… read more here.
Keywords: lower limb; locomotion; mode identification; locomotion mode ... See more keywords
Evaluation of CNN algorithm at locomotion mode identification for a knee-assisted exoskeleton
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DOI: 10.1080/01691864.2023.2197966
Abstract: In this study, a knee-assisted exoskeleton that can assist the wearer's knee joints at the appropriate phase of the gait cycle is designed. A convolutional neural network (CNN) model is used in the gait control… read more here.
Keywords: locomotion; knee assisted; locomotion mode; cnn ... See more keywords
Locomotion Mode Recognition Using Sensory Data With Noisy Labels: A Deep Learning Approach
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DOI: 10.1109/tmc.2021.3135878
Abstract: Availability of various sensors in the smartphone makes it easier and convenient to collect the data of human locomotion activities. A recognition approach can utilize this sensory data for recognizing a locomotion mode of a… read more here.
Keywords: noisy labels; locomotion; recognition; sensory data ... See more keywords
Fusion of Human Gaze and Machine Vision for Predicting Intended Locomotion Mode
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2022.3168796
Abstract: Predicting the user’s intended locomotion mode is critical for wearable robot control to assist the user’s seamless transitions when walking on changing terrains. Although machine vision has recently proven to be a promising tool in… read more here.
Keywords: locomotion; locomotion mode; machine vision;
Small-Data-Driven Temporal Convolutional Capsule Network for Locomotion Mode Recognition of Robotic Prostheses
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2022.3202658
Abstract: Locomotion mode recognition has been shown to substantially contribute to the precise control of robotic lower-limb prostheses under different walking conditions. In this study, we proposed a temporal convolutional capsule network (TCCN) which integrates the… read more here.
Keywords: locomotion; network; locomotion mode; mode recognition ... See more keywords
Comparison of machine learning and deep learning-based methods for locomotion mode recognition using a single inertial measurement unit
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neurorobotics"
DOI: 10.3389/fnbot.2022.923164
Abstract: Locomotion mode recognition provides the prosthesis control with the information on when to switch between different walking modes, whereas the gait phase detection indicates where we are in the gait cycle. But powered prostheses often… read more here.
Keywords: recognition; locomotion mode; machine learning; mode recognition ... See more keywords