AIMC Topic: Motor Skills

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Enhancing Upper Limb Function and Motor Skills Post-Stroke Through an Upper Limb Rehabilitation Robot.

Journal of visualized experiments : JoVE Sep 6, 2024
Cerebrovascular accidents, commonly known as strokes, represent a prevalent neurological event leading to significant upper limb disabilities, thereby profoundly affecting individuals' activities of daily living and diminishing their quality of life....
Humans Stroke Motor Skills Upper Extremity Stroke Rehabilitation Female Male Robotics
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Direct Comparisons of Upper-Limb Motor Learning Performance Among Three Types of Haptic Guidance With Non-Assisted Condition in Spiral Drawing Task.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jul 17, 2024
In robot-assisted rehabilitation, it is unclear which type of haptic guidance is effective for regaining motor function because of the lack of direct comparisons among multiple types of haptic guidance. The objective of this study was to investigate ...
Healthy Volunteers Psychomotor Performance Motor Skills Movement Upper Extremity Adult Male Robotics Learning Female Young Adult Humans
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Ηand dexterities assessment in stroke patients based on augmented reality and machine learning through a box and block test.

Scientific reports May 8, 2024
A popular and widely suggested measure for assessing unilateral hand motor skills in stroke patients is the box and block test (BBT). Our study aimed to create an augmented reality enhanced version of the BBT (AR-BBT) and evaluate its correlation to ...
Humans Machine Learning Male Middle Aged Hand Female Aged Adult Stroke Rehabilitation Augmented Reality Stroke Motor Skills
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Visual feedbacks influence short-term learning of torque versus motion profile with robotic guidance among young adults.

Human movement science May 1, 2024
Robotic assistance can improve the learning of complex motor skills. However, the assistance designed and used up to now mainly guides motor commands for trajectory learning, not dynamics learning. The present study explored how a complex motor skill...
Feedback, Sensory Transfer, Psychology Female Torque Young Adult Psychomotor Performance Adult Motor Skills Biomechanical Phenomena Male Robotics Humans Learning
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The Effects of Different Motor Teaching Strategies on Learning a Complex Motor Task.

Sensors (Basel, Switzerland) Feb 15, 2024
During the learning of a new sensorimotor task, individuals are usually provided with instructional stimuli and relevant information about the target task. The inclusion of haptic devices in the study of this kind of learning has greatly helped in th...
Motor Skills Algorithms Learning Robotics Humans
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Analysis of learning the bimanual control of (tele)operating joint space controlled robotic arms with 4 degrees of freedom using the two-timescales power law of learning.

Ergonomics Oct 25, 2023
Training costs for operators of robotic arms in forestry and construction are high. A systematic analysis of skill development can help to make training more efficient. This research focuses on motor skill development by investigating the bimanual co...
Humans Learning Female Arm Task Performance and Analysis Motor Skills Male Wrist Joint Robotics Elbow Joint Shoulder Joint Young Adult Movement Adult Biomechanical Phenomena
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Finger dexterity measured by the Grooved Pegboard test indexes Parkinson's motor severity in a tremor-independent manner.

Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology Aug 22, 2022
Fine motor impairments are frequent complaints in people with Parkinson's disease (PD). While they may develop at an early stage of the disease, they become more problematic as the disease progresses. Tremors and fine motor symptoms may seem related,...
Fingers Humans Motor Skills Parkinson Disease Tremor Muscle, Skeletal
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Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks.

Sensors (Basel, Switzerland) Mar 23, 2022
Humans learn movements naturally, but it takes a lot of time and training to achieve expert performance in motor skills. In this review, we show how modern technologies can support people in learning new motor skills. First, we introduce important co...
Algorithms Motion Motor Skills Humans Artificial Intelligence Machine Learning
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Bimanual motor skill learning with robotics in chronic stroke: comparison between minimally impaired and moderately impaired patients, and healthy individuals.

Journal of neuroengineering and rehabilitation Mar 17, 2022
BACKGROUND: Most activities of daily life (ADL) require cooperative bimanual movements. A unilateral stroke may severely impair bimanual ADL. How patients with stroke (re)learn to coordinate their upper limbs (ULs) is largely unknown. The objectives ...
Stroke Motor Skills Stroke Rehabilitation Humans Learning Robotics
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Automatic detection of passing and shooting in water polo using machine learning: a feasibility study.

Sports biomechanics Feb 28, 2022
There is currently no efficient way to quantify overhead throwing volume in water polo. Therefore, this study aimed to test the feasibility of a method to detect passes and shots in water polo automatically using inertial measurement units (IMU) and ...
Wrist Feasibility Studies Athletic Performance Biomechanical Phenomena Humans Male Neural Networks, Computer Young Adult Support Vector Machine Video Recording Machine Learning Water Sports Adult Motor Skills Sensitivity and Specificity
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