AIMC Topic: Artificial Limbs

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Toward Safe Wearer-Prosthesis Interaction: Evaluation of Gait Stability and Human Compensation Strategy Under Faults in Robotic Transfemoral Prostheses.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 30, 2022
Although advanced wearable robots can assist human wearers, their internal faults (i.e., sensors or control errors) also pose a challenge. To ensure safe wearer-robot interactions, how internal errors by the prosthesis limb affect the stability of th...
Prosthesis Design Amputees Walking Gait Artificial Limbs Robotics Robotic Surgical Procedures Humans Biomechanical Phenomena
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Toward Robust, Adaptiveand Reliable Upper-Limb Motion Estimation Using Machine Learning and Deep Learning-A Survey in Myoelectric Control.

IEEE journal of biomedical and health informatics Aug 11, 2022
To develop multi-functionalhuman-machine interfaces that can help disabled people reconstruct lost functions of upper-limbs, machine learning (ML) and deep learning (DL) techniques have been widely implemented to decode human movement intentions from...
Machine Learning Reproducibility of Results Humans Artificial Limbs Movement Upper Extremity Deep Learning Electromyography
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A novel sEMG data augmentation based on WGAN-GP.

Computer methods in biomechanics and biomedical engineering Jul 21, 2022
The classification of sEMG signals is fundamental in applications that use mechanical prostheses, making it necessary to work with generalist databases that improve the accuracy of those classifications. Therefore, synthetic signal generation can be ...
Electromyography Artificial Limbs Neural Networks, Computer Movement
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Analysis of Neural Network Based Proportional Myoelectric Hand Prosthesis Control.

IEEE transactions on bio-medical engineering Jun 17, 2022
OBJECTIVE: We show that state-of-the-art deep neural networks achieve superior results in regression-based multi-class proportional myoelectric hand prosthesis control than two common baseline approaches, and we analyze the neural network mapping to ...
Artificial Limbs Movement Neural Networks, Computer Hand Humans
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A Systematic Study on Electromyography-Based Hand Gesture Recognition for Assistive Robots Using Deep Learning and Machine Learning Models.

Sensors (Basel, Switzerland) May 11, 2022
Upper limb amputation severely affects the quality of life and the activities of daily living of a person. In the last decade, many robotic hand prostheses have been developed which are controlled by using various sensing technologies such as artific...
Activities of Daily Living Upper Extremity Electromyography Artificial Limbs Machine Learning Quality of Life Gestures Robotics Deep Learning Humans
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Noncontact Electromagnetic Wireless Recognition for Prosthesis Based on Intelligent Metasurface.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) May 7, 2022
With the development of artificial intelligence and Internet of Things, hand gesture recognition techniques have attracted great attention owing to their excellent applications in developing human-machine interaction (HMI). Here, the authors propose ...
Algorithms Gestures Artificial Limbs Humans Artificial Intelligence Electromagnetic Phenomena
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CyberLimb: a novel robotic prosthesis concept with shared and intuitive control.

Journal of neuroengineering and rehabilitation Apr 29, 2022
BACKGROUND: Existing assistive technologies attempt to mimic biological functions through advanced mechatronic designs. In some occasions, the information processing demands for such systems require substantial information bandwidth and convoluted co...
Humans Female Self-Help Devices Artificial Limbs Prosthesis Design Robotics Amputees
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Real-Time Hierarchical Classification of Time Series Data for Locomotion Mode Detection.

IEEE journal of biomedical and health informatics Apr 14, 2022
OBJECTIVE: Accurate real-time estimation of motion intent is critical for rendering useful assistance using wearable robotic prosthetic and exoskeleton devices during user-initiated motions. We aim to evaluate hierarchical classification as a strateg...
Exoskeleton Device Artificial Limbs Locomotion Humans Time Factors Robotics Walking
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A 3D Printed Soft Robotic Hand With Embedded Soft Sensors for Direct Transition Between Hand Gestures and Improved Grasping Quality and Diversity.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 14, 2022
In this study, a three-dimensional (3D) printed soft robotic hand with embedded soft sensors, intended for prosthetic applications is designed and developed to efficiently operate with new-generation myoelectric control systems, e.g., pattern recogni...
Gestures Hand Strength Humans Hand Artificial Limbs Fingers Printing, Three-Dimensional Robotics
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Reliable Vision-Based Grasping Target Recognition for Upper Limb Prostheses.

IEEE transactions on cybernetics Mar 11, 2022
Computer vision has shown promising potential in wearable robotics applications (e.g., human grasping target prediction and context understanding). However, in practice, the performance of computer vision algorithms is challenged by insufficient or b...
Artificial Limbs Arm Upper Extremity Robotics Bayes Theorem Humans Hand Strength
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