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Published in 2017 at "Meccanica"
DOI: 10.1007/s11012-016-0505-0
Abstract: Disturbance compensation is one of the major issues for underwater robots to hover as a mobile platform and to manipulate an object in an underwater environment. This paper presents a new strategy of disturbance compensation…
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Keywords:
disturbance compensation;
redundant parallel;
compensation;
robot ... See more keywords
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Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-021-02630-3
Abstract: Joint torque feedback is a new and promising means of kinesthetic feedback imposed by a wearable device. The torque feedback provides the wearer temporal and spatial information during a motion task. Nevertheless, little research has…
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Keywords:
elbow joint;
joint torque;
torque feedback;
noticeable differences ... See more keywords
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Published in 2022 at "Ergonomics"
DOI: 10.1080/00140139.2022.2051611
Abstract: Abstract The primary aim of this laboratory-based human subject study was to evaluate the biomechanical loading associated with mining vehicles’ multi-axial whole body vibration (WBV) by comparing joint torque and muscle activity in the neck…
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Keywords:
torque muscle;
suspension;
multi axial;
vibration ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3218012
Abstract: Joint torque estimation techniques are used for evaluating human motor function. Particularly, ankle joint torque is essential for evaluating the walking function. Ankle joint torque can be derived by fixing the metatarsophalangeal (MTP) joint and…
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Keywords:
ankle joint;
sensor arrangements;
fixation;
joint torque ... See more keywords
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Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3207313
Abstract: In this work, we predicted ankle joint torque by combining a neuromusculoskeletal (NMS) solver-informed artificial neural network (hybrid-ANN) model with transfer learning based on joint angle and muscle electromyography signals. The hybrid-ANN is an ANN…
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Keywords:
transfer learning;
prediction;
joint torque;
ann model ... See more keywords
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Published in 2019 at "IEEE/ASME Transactions on Mechatronics"
DOI: 10.1109/tmech.2019.2893055
Abstract: To improve the efficacy of robotic exoskeleton-based rehabilitation training, active joint torque of subjects should be detected. This paper presents a practical and adaptive method to estimate active joint torque using electromyography (EMG) signals for…
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Keywords:
practical adaptive;
active joint;
emg;
robotic exoskeleton ... See more keywords
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Published in 2022 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2022.3156786
Abstract: Estimation of joint torque during movement provides important information in several settings, such as effect of athletes’ training or of a medical intervention, or analysis of the remaining muscle strength in a wearer of an…
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Keywords:
transfer learning;
joint;
lower limb;
joint torque ... See more keywords
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Published in 2023 at "Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine"
DOI: 10.1177/09544119231152354
Abstract: Graphical abstract Powered orthoses that employ virtual muscle models for specifying motor commands may better produce natural, human-like joint torque and motion outputs. Here, we design and implement a muscle controller based on the standard…
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Keywords:
muscle model;
joint torque;
muscle;
knee joint ... See more keywords