AIMC Topic: Hand

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Enhancing the Versatility and Performance of Soft Robotic Grippers, Hands, and Crawling Robots Through Three-Dimensional-Printed Multifunctional Buckling Joints.

Soft robotics Feb 22, 2024
Soft robotic grippers and hands offer adaptability, lightweight construction, and enhanced safety in human-robot interactions. In this study, we introduce vacuum-actuated soft robotic finger joints to overcome their limitations in stiffness, response...
Fingers Finite Element Analysis Equipment Design Hand Humans Hand Strength Biomechanical Phenomena Printing, Three-Dimensional Robotics
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Teleoperation of an Anthropomorphic Robot Hand with a Metamorphic Palm and Tunable-Stiffness Soft Fingers.

Soft robotics Feb 21, 2024
Teleoperation in soft robotics can endow soft robots with the ability to perform complex tasks through human-robot interaction. In this study, we propose a teleoperated anthropomorphic soft robot hand with variable degrees of freedom (DOFs) and a met...
Hand Strength Robotics Equipment Design Hand Electromyography Fingers Humans
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Tracking hand movements with a smart glove.

Science robotics Feb 21, 2024
Dynamic hand movements could be detected in real time using machine learning and a smart textile glove.
Textiles Robotics Hand Movement
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Journey from human hands to robot hands: biological inspiration of anthropomorphic robotic manipulators.

Bioinspiration & biomimetics Feb 19, 2024
The development of robotic hands that can replicate the complex movements and dexterity of the human hand has been a longstanding challenge for scientists and engineers. A human hand is capable of not only delicate operation but also crushing with po...
Motion Movement Robotics Robotic Surgical Procedures Hand Humans
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Classification of EMG signals with CNN features and voting ensemble classifier.

Computer methods in biomechanics and biomedical engineering Feb 5, 2024
Electromyography (EMG) signals are primarily used to control prosthetic hands. Classifying hand gestures efficiently with EMG signals presents numerous challenges. In addition to overcoming these challenges, a successful combination of feature extrac...
Humans Hand Electromyography Voting Neural Networks, Computer Algorithms Signal Processing, Computer-Assisted
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Combining Transcranial Direct Current Stimulation With Hand Robotic Rehabilitation in Chronic Stroke Patients: A Double-Blind Randomized Clinical Trial.

American journal of physical medicine & rehabilitation Feb 5, 2024
OBJECTIVE: This study aimed to assess the impact of combining transcranial direct current stimulation with end-effector robot-assisted treatment on upper limb function, spasticity, and hand dexterity in chronic stroke patients.
Humans Prospective Studies Male Middle Aged Treatment Outcome Female Aged Adult Stroke Combined Modality Therapy Stroke Rehabilitation Transcranial Direct Current Stimulation Muscle Spasticity Robotics Double-Blind Method Recovery of Function Hand Chronic Disease
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Effect of Robotic Rehabilitation on Hand Functions and Quality of Life in Children With Cerebral Palsy: A Prospective Randomized Controlled Study.

American journal of physical medicine & rehabilitation Jan 31, 2024
OBJECTIVE: This study aimed to examine the impact of robotic hand rehabilitation on hand function and quality of life in children with cerebral palsy.
Hand Adolescent Female Hand Strength Cerebral Palsy Male Child Humans Robotics Treatment Outcome Quality of Life Prospective Studies Disability Evaluation
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Determination of growth and developmental stages in hand-wrist radiographs : Can fractal analysis in combination with artificial intelligence be used?

Journal of orofacial orthopedics = Fortschritte der Kieferorthopadie : Organ/official journal Deutsche Gesellschaft fur Kieferorthopadie Jan 22, 2024
PURPOSE: The goal of this work was to assess the classification of maturation stage using artificial intelligence (AI) classifiers.
Fractals Humans Age Determination by Skeleton Artificial Intelligence Radiographic Image Interpretation, Computer-Assisted Algorithms Hand Male Female Adolescent Reproducibility of Results Child Sensitivity and Specificity
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Brain control of bimanual movement enabled by recurrent neural networks.

Scientific reports Jan 18, 2024
Brain-computer interfaces have so far focused largely on enabling the control of a single effector, for example a single computer cursor or robotic arm. Restoring multi-effector motion could unlock greater functionality for people with paralysis (e.g...
Neural Networks, Computer Brain Humans Hand Paralysis Brain-Computer Interfaces Functional Laterality Movement
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Uncovering the Neural Mechanisms of Inter-Hemispheric Balance Restoration in Chronic Stroke Through EMG-Driven Robot Hand Training: Insights From Dynamic Causal Modeling.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jan 12, 2024
EMG-driven robot hand training can facilitate motor recovery in chronic stroke patients by restoring the interhemispheric balance between motor networks. However, the underlying mechanisms of reorganization between interhemispheric regions remain unc...
Motor Cortex Robotics Hand Stroke Humans Magnetic Resonance Imaging
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