AIMC Topic: Motor Skills

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Toward biologically realistic models of the motor system.

Neuron Dec 4, 2024
In this issue of Neuron, Chiappa et al. describe how neural networks can be trained to perform complex hand motor skills. A key to their approach is curriculum learning, breaking learning into stages, leading to good control.
Neural Networks, Computer Learning Models, Neurological Motor Skills Humans
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Substituting some unassisted practice with robotic guidance: Assessing the feasibility of auditory-cued mixed practice for music-based interventions.

NeuroRehabilitation Jan 1, 2023
BACKGROUND: There is equivocal evidence regarding the effectiveness of robotic guidance on the (re)learning of voluntary motor skills. Robotic guidance can improve the performance of continuous/ tracking skills, although being seldom more effective t...
Robotic Surgical Procedures Feasibility Studies Motor Skills Humans Robotics Upper Extremity Music
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Co-designing hardware and control for robot hands.

Science robotics May 12, 2021
Policy gradient methods can be used for mechanical and computational co-design of robot manipulators.
Humans Computer Simulation Robotics Mechanical Phenomena Equipment Design Hand Motor Skills
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A 10-item Fugl-Meyer Motor Scale Based on Machine Learning.

Physical therapy Apr 4, 2021
OBJECTIVE: The Fugl-Meyer motor scale (FM) is a well-validated measure for assessing upper extremity and lower extremity motor functions in people with stroke. The FM contains numerous items (50), which reduces its clinical usability. The purpose of ...
Reproducibility of Results Aged Male Humans Machine Learning Female Disability Evaluation Stroke Motor Skills Middle Aged Surveys and Questionnaires Psychometrics
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A Machine Learning Approach to Assess Injury Risk in Elite Youth Football Players.

Medicine and science in sports and exercise Aug 1, 2020
PURPOSE: To assess injury risk in elite-level youth football (soccer) players based on anthropometric, motor coordination and physical performance measures with a machine learning model.
Soccer Athletic Injuries Cumulative Trauma Disorders Anthropometry Belgium Motor Skills Male Risk Assessment Adolescent Child Athletic Performance Physical Fitness Humans Machine Learning Prospective Studies
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Characterizing Individual Differences in a Dynamic Stabilization Task Using Machine Learning.

Aerospace medicine and human performance Jun 1, 2020
: Being able to identify individual differences in skilled motor learning during disorienting conditions is important for spaceflight, military aviation, and rehabilitation.: Blindfolded subjects ( = 34) were strapped into a device that behaved like ...
Orientation, Spatial Proprioception Space Flight Adult Machine Learning Postural Balance Male Humans Female Task Performance and Analysis Adolescent Young Adult Motor Skills
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Effect of robot-assisted gait training on motor functions in adolescent and young adult patients with bilateral spastic cerebral palsy: A randomized controlled trial.

NeuroRehabilitation Jan 1, 2020
BACKGROUND: Robot-assisted gait training (RAGT) allows an intensive gait training in patients with cerebral palsy (CP). There are few evidences on the effectiveness of RAGT in adults with CP.
Adolescent Robotics Walking Gait Exercise Therapy Cerebral Palsy Young Adult Adult Male Humans Prospective Studies Female Motor Skills Exoskeleton Device
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Early Parkinson's Disease Detection via Touchscreen Typing Analysis using Convolutional Neural Networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Parkinson's Disease (PD) is the second most common neurodegenerative disorder worldwide, causing both motor and non-motor symptoms. In the early stages, symptoms are mild and patients may ignore their existence. As a result, they do not undergo any r...
Humans Neural Networks, Computer Parkinson Disease Sensitivity and Specificity Early Diagnosis User-Computer Interface Motor Skills Smartphone
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Trends and challenges in robot manipulation.

Science (New York, N.Y.) Jun 21, 2019
Dexterous manipulation is one of the primary goals in robotics. Robots with this capability could sort and package objects, chop vegetables, and fold clothes. As robots come to work side by side with humans, they must also become human-aware. Over th...
Motor Skills Humans Robotics Hand
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Validation of a robot serious game assessment protocol for upper limb motor impairment in children with cerebral palsy.

NeuroRehabilitation Jan 1, 2019
BACKGROUND: The ROBiGAME project aims to implement serious games on robots to rehabilitate upper limb (UL) motor function in children with cerebral palsy (CP). Serious game characteristics (target position, level of assistance/resistance, level of fo...
Muscle Strength Robotics Male Cerebral Palsy Humans Child, Preschool Motor Skills Female Child Upper Extremity Biomechanical Phenomena Neurologic Examination
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