AIMC Topic: Time and Motion Studies
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The Influence of EMG-Triggered Robotic Movement on Walking, Muscle Force and Spasticity after an Ischemic Stroke.
Medicina (Kaunas, Lithuania)
Mar 2, 2021
: Application of the EMG-driven robotic training in everyday therapeutic processes is a modern and innovative form of neurorehabilitation among patients after stroke. Active participation of the patient contributes to significantly higher activation ...
HRDepthNet: Depth Image-Based Marker-Less Tracking of Body Joints.
Sensors (Basel, Switzerland)
Feb 14, 2021
With approaches for the detection of joint positions in color images such as HRNet and OpenPose being available, consideration of corresponding approaches for depth images is limited even though depth images have several advantages over color images ...
Improving data acquisition speed and accuracy in sport using neural networks.
Journal of sports sciences
Oct 14, 2020
Video analysis is used in sport to derive kinematic variables of interest but often relies on time-consuming tracking operations. The purpose of this study was to determine speed, accuracy and reliability of 2D body landmark digitisation by a neural ...
Complementing subjective with objective data in analysing expertise: A machine-learning approach applied to badminton.
Journal of sports sciences
Jun 17, 2020
This study aimed to assess which combination of subjective and empirical data might help to identify the expertise level. A group of 10 expert coaches classified 40 participants in 5 different expertise groups based on the video footage of the rallie...
Basketball Activity Classification Based on Upper Body Kinematics and Dynamic Time Warping.
International journal of sports medicine
Jan 14, 2020
Basketball activity classification can help document players' statistics, allow coaches, trainers and the medical team to quantitatively supervise players' physical exertion and optimize training strategy, and further help prevent potential injuries....
A machine learning approach for automatic detection and classification of changes of direction from player tracking data in professional tennis.
Journal of sports sciences
Oct 28, 2019
The purpose of this study was to develop an automated method for identifying and classifying change of direction (COD) movements in professional tennis using tracking data. Three sport science and strength and conditioning experts coded match-play fo...
Clinical effects of robot-assisted gait training and treadmill training for Parkinson's disease. A randomized controlled trial.
Annals of physical and rehabilitation medicine
Aug 1, 2019
BACKGROUND: Although gait disorders strongly contribute to perceived disability in people with Parkinson's disease, clinical trials have failed to identify which task-oriented gait training method can provide the best benefit. Freezing of gait remain...
Machine Learning Groups Patients by Early Functional Improvement Likelihood Based on Wearable Sensor Instrumented Preoperative Timed-Up-and-Go Tests.
The Journal of arthroplasty
Jun 5, 2019
BACKGROUND: Wearable sensors permit efficient data collection and unobtrusive systems can be used for instrumenting knee patients for objective assessment. Machine learning can be leveraged to parse the abundant information these systems provide and ...
Predicting centre of mass horizontal speed in low to severe swimming intensities with linear and non-linear models.
Journal of sports sciences
Feb 6, 2019
We aimed to compare multilayer perceptron (MLP) neural networks, radial basis function neural networks (RBF) and linear models (LM) accuracy to predict the centre of mass (CM) horizontal speed at low-moderate, heavy and severe swimming intensities us...
Machine and deep learning for sport-specific movement recognition: a systematic review of model development and performance.
Journal of sports sciences
Oct 11, 2018
Objective assessment of an athlete's performance is of importance in elite sports to facilitate detailed analysis. The implementation of automated detection and recognition of sport-specific movements overcomes the limitations associated with manual ...
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