AIMC Topic: Motor Skills

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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 ...
Middle Aged Hand Augmented Reality Stroke Motor Skills Stroke Rehabilitation Aged Humans Adult Machine Learning Male Female
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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...
Young Adult Adult Biomechanical Phenomena Humans Learning Female Psychomotor Performance Male Motor Skills Feedback, Sensory Robotics Transfer, Psychology Torque
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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...
Algorithms Learning Robotics Motor Skills 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...
Task Performance and Analysis Motor Skills Shoulder Joint Robotics Elbow Joint Arm Movement Wrist Joint Learning Female Young Adult Adult Biomechanical Phenomena Male Humans
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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...
Humans Motor Skills Artificial Intelligence Algorithms Machine Learning Motion
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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 ...
Motor Skills Stroke Rehabilitation Learning Humans Robotics Stroke
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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 ...
Feasibility Studies Athletic Performance Video Recording Male Water Sports Adult Neural Networks, Computer Support Vector Machine Sensitivity and Specificity Motor Skills Humans Machine Learning Wrist Biomechanical Phenomena Young Adult
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Towards functional robotic training: motor learning of dynamic tasks is enhanced by haptic rendering but hampered by arm weight support.

Journal of neuroengineering and rehabilitation Feb 13, 2022
BACKGROUND: Current robot-aided training allows for high-intensity training but might hamper the transfer of learned skills to real daily tasks. Many of these tasks, e.g., carrying a cup of coffee, require manipulating objects with complex dynamics. ...
Humans Motor Skills Exoskeleton Device Haptic Technology Robotics Robotic Surgical Procedures Arm
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Automated recognition of objects and types of forceps in surgical images using deep learning.

Scientific reports Nov 19, 2021
Analysis of operative data with convolutional neural networks (CNNs) is expected to improve the knowledge and professional skills of surgeons. Identification of objects in videos recorded during surgery can be used for surgical skill assessment and s...
Pattern Recognition, Automated Humans Software Design Digestive System Surgical Procedures Deep Learning Intraoperative Period Surgical Instruments Motor Skills Surgeons Clinical Competence Rectum Colon Image Processing, Computer-Assisted Video Recording
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