AIMC Topic: Running

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Machine learning algorithms can classify outdoor terrain types during running using accelerometry data.

Gait & posture Sep 5, 2019
BACKGROUND: Running is a popular physical activity that benefits health; however, running surface characteristics may influence loading impact and injury risk. Machine learning algorithms could automatically identify running surface from wearable mot...
Humans Neural Networks, Computer Machine Learning Algorithms Male Exercise Running Accelerometry Female Young Adult Adult
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Use of Machine Learning and Wearable Sensors to Predict Energetics and Kinematics of Cutting Maneuvers.

Sensors (Basel, Switzerland) Jul 12, 2019
Changes of directions and cutting maneuvers, including 180-degree turns, are common locomotor actions in team sports, implying high mechanical load. While the mechanics and neurophysiology of turns have been extensively studied in laboratory conditio...
Wearable Electronic Devices Humans Running Adult Machine Learning Soccer Biomechanical Phenomena Female Young Adult
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Methodology and validation for identifying gait type using machine learning on IMU data.

Journal of medical engineering & technology Apr 30, 2019
With the rising popularity of activity tracking, there is a desire to not only count the number of steps a person takes, but also identify the type of step (e.g., walking or running) they are taking. For rehabilitation and athletic training, this dif...
Adult Adolescent Walking Accelerometry Running Acceleration Neural Networks, Computer Humans Machine Learning Reproducibility of Results Young Adult
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Markerless 2D kinematic analysis of underwater running: A deep learning approach.

Journal of biomechanics Mar 1, 2019
Kinematic analysis is often performed with a camera system combined with reflective markers placed over bony landmarks. This method is restrictive (and often expensive), and limits the ability to perform analyses outside of the lab. In the present st...
Neural Networks, Computer Reproducibility of Results Biomechanical Phenomena Deep Learning Humans Biophysics Running Motion Video Recording Image Processing, Computer-Assisted Lower Extremity Immersion
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Sprint Assessment Using Machine Learning and a Wearable Accelerometer.

Journal of applied biomechanics Feb 5, 2019
Field-based sprint performance assessments rely on metrics derived from a simple model of sprinting dynamics parameterized by 2 constants, v and τ, which indicate a sprinter's maximal theoretical velocity and the time it takes to approach v, respecti...
Humans Wearable Electronic Devices Linear Models Running Accelerometry Biomechanical Phenomena Athletic Performance Machine Learning Male Female Adolescent Young Adult
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A Torque-actuated dissipative spring loaded inverted pendulum model with rolling contact and Its application to hexapod running.

Bioinspiration & biomimetics Feb 1, 2019
We report on the development and analysis of a new torque-actuated dissipative spring loaded inverted pendulum model with rolling contact (TDR-SLIP), which is a successor to the previously developed spring loaded inverted pendulum model with rolling ...
Biomechanical Phenomena Animals Torque Biomimetics Insecta Extremities Robotics Models, Biological Running Space Flight Flight, Animal
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Artificial neural networks and player recruitment in professional soccer.

PloS one Oct 31, 2018
The aim was to objectively identify key performance indicators in professional soccer that influence outfield players' league status using an artificial neural network. Mean technical performance data were collected from 966 outfield players' (mean S...
Athletic Performance United Kingdom Physical Endurance Competitive Behavior Adult Male Running Soccer Humans Neural Networks, Computer
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Estimation of vertical ground reaction force during running using neural network model and uniaxial accelerometer.

Journal of biomechanics Jun 18, 2018
Wearable technology has been viewed as one of the plausible alternatives to capture human motion in an unconstrained environment, especially during running. However, existing methods require kinematic and kinetic measurements of human body segments a...
Neural Networks, Computer Young Adult Adult Wearable Electronic Devices Exercise Test Biomechanical Phenomena Male Humans Running Accelerometry
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Effect of Health and Training on Ultrasensitive Cardiac Troponin in Marathon Runners.

The journal of applied laboratory medicine May 22, 2018
PURPOSE: Cardiac troponin (cTn) is the gold standard biomarker for assessing cardiac damage. Previous studies have demonstrated increases in plasma cTn because of extreme exercise, including marathon running. We developed an easy-to-use, ultrasensiti...
Exercise Adult Running Case-Control Studies Male Troponin I Health Status Middle Aged Humans Biomarkers Female
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Runners with patellofemoral pain demonstrate sub-groups of pelvic acceleration profiles using hierarchical cluster analysis: an exploratory cross-sectional study.

BMC musculoskeletal disorders Apr 19, 2018
BACKGROUND: Previous studies have suggested that distinct and homogenous sub-groups of gait patterns exist among runners with patellofemoral pain (PFP), based on gait analysis. However, acquisition of 3D kinematic data using optical systems is time c...
Adult Cross-Sectional Studies Humans Male Female Deep Learning Running Pelvic Bones Cluster Analysis Pain Patellofemoral Pain Syndrome
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