AIMC Topic: Baseball

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Understanding whole-body inter-personal dynamics between two players using neural granger causality as the explainable artificial intelligence.

Human movement science May 30, 2025
Understanding the dynamics of complex, whole-body interpersonal coordination behavior in humans is an important subject in behavioral science. However, due to the challenges of analyzing complex causal relationships among multiple body components wit...
Artificial Intelligence Machine Learning Young Adult Humans Psychomotor Performance Athletic Performance Baseball Adult Biomechanical Phenomena Male
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Enhanced personalized prediction of baseball-related upper extremity injuries through novel features and explainable artificial intelligence.

Journal of sports sciences Mar 12, 2025
Upper extremity injuries in baseball players demand advanced prevention. Our study analyzed clinical features using machine learning techniques to provide precise and individualized injury risk assessment and prediction. We recruited 98 baseball play...
Humans Adult Male Risk Assessment Artificial Intelligence Machine Learning Young Adult Athletic Injuries Rotation Upper Extremity Baseball Logistic Models Support Vector Machine
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Leveraging graph neural networks and gate recurrent units for accurate and transparent prediction of baseball pitching speed.

Scientific reports Mar 5, 2025
Long short-term memory (LSTM) networks are widely used in biomechanical data analysis but have the significant limitations in interpretability and decision transparency. Combining graph neural networks (GNN) with gate recurrent units (GRU) may offer ...
Baseball Graph Neural Networks Humans Neural Networks, Computer Biomechanical Phenomena Male Athletic Performance
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Deep Learning-Based Computer-Aided Diagnosis of Osteochondritis Dissecans of the Humeral Capitellum Using Ultrasound Images.

The Journal of bone and joint surgery. American volume May 14, 2024
BACKGROUND: Ultrasonography is used to diagnose osteochondritis dissecans (OCD) of the humerus; however, its reliability depends on the technical proficiency of the examiner. Recently, computer-aided diagnosis (CAD) using deep learning has been appli...
Baseball Osteochondritis Dissecans Elbow Joint Humerus Male Humans Adolescent Diagnosis, Computer-Assisted Reproducibility of Results Child Deep Learning Ultrasonography
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Acute Effects of Nicotine on Physiological Responses and Sport Performance in Healthy Baseball Players.

International journal of environmental research and public health Jan 4, 2022
There is interest in whether nicotine could enhance attention in sporting performance, but evidence on the acute effect of nicotine on physical response and sports performance in baseball players remains scant. This was an observational study to exam...
Baseball Nicotine Humans Chewing Gum Attention Male Athletic Performance
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Baseball Player Behavior Classification System Using Long Short-Term Memory with Multimodal Features.

Sensors (Basel, Switzerland) Mar 22, 2019
In this paper, a preliminary baseball player behavior classification system is proposed. By using multiple IoT sensors and cameras, the proposed method accurately recognizes many of baseball players' behaviors by analyzing signals from heterogeneous ...
Humans Neural Networks, Computer Deep Learning Baseball Joints Wearable Electronic Devices Photography Accelerometry Behavior
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A minimum attention control law for ball catching.

Bioinspiration & biomimetics Oct 6, 2015
Digital implementations of control laws typically involve discretization with respect to both time and space, and a control law that can achieve a task at coarser levels of discretization can be said to require less control attention, and also reduce...
Motion Perception Athletic Performance Humans Baseball Biomimetics Models, Neurological Algorithms Feedback, Physiological Arm Robotics Computer Simulation Attention Computer-Aided Design
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Optical angular constancy is maintained as a navigational control strategy when pursuing robots moving along complex pathways.

Journal of vision Mar 24, 2015
The optical navigational control strategy used to intercept moving targets was explored using a real-world object that travels along complex, evasive pathways. Fielders ran across a gymnasium attempting to catch a moving robot that varied in speed an...
Motion Perception Fixation, Ocular Psychomotor Performance Humans Baseball Male Pattern Recognition, Visual Robotics Running
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A Soft Robotic Sleeve for Physiotherapy: Improving Elbow Rehabilitation in Baseball Pitchers.

Physiotherapy research international : the journal for researchers and clinicians in physical therapy Jan 1, 2025
BACKGROUND AND PURPOSE: Throwing a baseball involves intense exposure of the arm to high speeds and powerful forces, which contributes to an increasing prevalence of arm injuries among athletes. Traditional rigid exoskeletons and rehabilitation equip...
Physical Therapy Modalities Baseball Electromyography Range of Motion, Articular Exoskeleton Device Young Adult Male Muscle, Skeletal Robotics Elbow Joint Equipment Design Humans
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