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Published in 2019 at "Neuroscience Letters"
DOI: 10.1016/j.neulet.2019.01.052
Abstract: Walking is a repeatable and cyclic locomotor act, presenting standardized biomechanical patterns within the gait cycle in healthy humans. Specifically, both stance and swing durations exhibit high reliability at comfortable speed, maintaining the same proportion…
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Keywords:
stance swing;
swing ratio;
ratio;
gait phase ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3183749
Abstract: Strength training can contribute to the improvement of the lower limb muscles, which does not always transfer to the improvement of walking ability. It results from the lack of training for the muscles which are…
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Keywords:
plantar flexors;
gait phase;
phase dependent;
dependent control ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3227344
Abstract: Human gait analysis and detection are critical for many applications, including wearable and rehabilitation robotic devices, reducing or tracking injury risk. The proposed work allows researchers to study the gait phase of human subjects in…
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Keywords:
human subjects;
gait phase;
phase estimation;
gait ... See more keywords
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Published in 2019 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2019.2924841
Abstract: We present a control strategy for powered prostheses based on a robust estimate of the gait phase that is used to determine appropriate control actions. We use an extended Kalman filter (EKF) that fuses joint…
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Keywords:
control;
gait phase;
extended kalman;
phase ... See more keywords
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Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3191945
Abstract: Gait phase-based control is a trending research topic for walking-aid robots, especially robotic lower-limb prostheses. Gait phase estimation is a challenge for gait phase-based control. Previous researches used the integration or the differential of the…
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Keywords:
phase based;
gait phase;
phase estimation;
phase ... See more keywords
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Published in 2022 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2021.3082067
Abstract: This article presents a graph convolutional network model (GCNM) for gait phase classification to control a lower limb exoskeleton. The GCNM can recognize four leg phases between the foot and ground, including heel strike, foot…
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Keywords:
tex math;
gait phase;
model;
inline formula ... See more keywords
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Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3201947
Abstract: Gait phase contains rich kinematic information of lower limbs, which has great reference significance for rehabilitation medicine, assistive design, and identity recognition. This research presents a wearable gait phase segmentation method based on lower limb…
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Keywords:
gait phase;
lower limb;
sensor;
gait ... See more keywords
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Published in 2019 at "Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science"
DOI: 10.1177/0954406219869974
Abstract: Gait analysis is of great importance to ensure that gait phases induced by robotic exoskeleton are tailored to each individual and external complex environments. The objective of this work is to develop a pressure insole…
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Keywords:
phase classification;
classification;
gait phase;
pso svm ... See more keywords
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Published in 2021 at "Frontiers in Neurorobotics"
DOI: 10.3389/fnbot.2021.704226
Abstract: The interaction between human and exoskeletons increasingly relies on the precise decoding of human motion. One main issue of the current motion decoding algorithms is that seldom algorithms provide both discrete motion patterns (e.g., gait…
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Keywords:
motion;
gait phase;
kinematics;
predictor ... See more keywords
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Published in 2023 at "Frontiers in Neurorobotics"
DOI: 10.3389/fnbot.2022.1064313
Abstract: Powered lower-limb assistive devices, such as prostheses and exoskeletons, are a promising option for helping mobility-impaired individuals regain functional gait. Gait phase prediction plays an important role in controlling these devices and evaluating whether the…
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Keywords:
gait phase;
prediction;
phase prediction;
model trained ... See more keywords
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Published in 2022 at "Frontiers in Neurorobotics"
DOI: 10.3389/fnbot.2022.807826
Abstract: Human gait phase estimation has been studied in the field of robotics due to its importance for controlling wearable devices (e.g., prostheses or exoskeletons) in a synchronized manner with the user. As data-driven approaches have…
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Keywords:
effect;
gait phase;
phase estimation;