AIMC Topic: Running

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A Random Forest Machine Learning Framework to Reduce Running Injuries in Young Triathletes.

Sensors (Basel, Switzerland) Nov 9, 2020
BACKGROUND: The running segment of a triathlon produces 70% of the lower limb injuries. Previous research has shown a clear association between kinematic patterns and specific injuries during running.
Humans Machine Learning Gait Running Athletes Athletic Injuries Biomechanical Phenomena Adolescent Electromyography
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Lower body kinematics estimation from wearable sensors for walking and running: A deep learning approach.

Gait & posture Oct 27, 2020
BACKGROUND: Inertial measurement units (IMUs) are promising tools for collecting human movement data. Model-based filtering approaches (e.g. Extended Kalman Filter) have been proposed to estimate joint angles from IMUs data but little is known about ...
Adult Biomechanical Phenomena Male Deep Learning Humans Female Wearable Electronic Devices Walking Running
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Combining wearable sensor signals, machine learning and biomechanics to estimate tibial bone force and damage during running.

Human movement science Oct 22, 2020
There are tremendous opportunities to advance science, clinical care, sports performance, and societal health if we are able to develop tools for monitoring musculoskeletal loading (e.g., forces on bones or muscles) outside the lab. While wearable se...
Shoes Musculoskeletal Physiological Phenomena Female Running Humans Wearable Electronic Devices Young Adult Tibia Machine Learning Biomechanical Phenomena Adult Feasibility Studies Algorithms Foot Male
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Mechanics of walking and running up and downhill: A joint-level perspective to guide design of lower-limb exoskeletons.

PloS one Aug 28, 2020
Lower-limb wearable robotic devices can improve clinical gait and reduce energetic demand in healthy populations. To help enable real-world use, we sought to examine how assistance should be applied in variable gait conditions and suggest an approach...
Ankle Hip Exoskeleton Device Locomotion Gait Analysis Ankle Joint Knee Muscle, Skeletal Walking Biomechanical Phenomena Humans Robotics Running Gait Female Knee Joint Hip Joint Male Adult Lower Extremity
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Viscoelastic legs for open-loop control of gram-scale robots.

Bioinspiration & biomimetics Jul 29, 2020
Gram-scale insects, such as cockroaches, take advantage of the mechanical properties of the musculoskeletal system to enable rapid and robust running. Engineering gram-scale robots, much like their biological counterparts, comes with inherent constra...
Locomotion Cockroaches Viscoelastic Substances Running Torque Biomimetics Weights and Measures Gait Biomechanical Phenomena Animals Models, Biological Robotics
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Deep learning approach for prediction of impact peak appearance at ground reaction force signal of running activity.

Computer methods in biomechanics and biomedical engineering Jul 9, 2020
Protruding impact peak is one of the features of vertical ground reaction force (GRF) that is related to injury risk while running. The present research is dedicated to predicting GRF impact peak appearance by setting a binary classification problem....
Signal Processing, Computer-Assisted Running Logistic Models Support Vector Machine Humans Neural Networks, Computer Algorithms Deep Learning Cluster Analysis
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Estimating Lower Extremity Running Gait Kinematics with a Single Accelerometer: A Deep Learning Approach.

Sensors (Basel, Switzerland) May 22, 2020
Abnormal running kinematics are associated with an increased incidence of lower extremity injuries among runners. Accurate and unobtrusive running kinematic measurement plays an important role in the detection of gait abnormalities and the prevention...
Biomechanical Phenomena Deep Learning Humans Gait Analysis Lower Extremity Running Accelerometry
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Smartwatch-Derived Data and Machine Learning Algorithms Estimate Classes of Ratings of Perceived Exertion in Runners: A Pilot Study.

Sensors (Basel, Switzerland) May 5, 2020
The rating of perceived exertion (RPE) is a subjective load marker and may assist in individualizing training prescription, particularly by adjusting running intensity. Unfortunately, RPE has shortcomings (e.g., underreporting) and cannot be monitore...
Algorithms Humans Perception Running Pilot Projects Physical Exertion Heart Rate Machine Learning
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Wi-Fi CSI-Based Outdoor Human Flow Prediction Using a Support Vector Machine.

Sensors (Basel, Switzerland) Apr 10, 2020
This paper proposes a channel state information (CSI)-based prediction method of a human flow that includes activity. The objective of the paper is to predict a human flow in an outdoor road. This human flow prediction is useful for the prediction of...
Walking Running Bicycling Wireless Technology Humans Support Vector Machine
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A neural network method to predict task- and step-specific ground reaction force magnitudes from trunk accelerations during running activities.

Medical engineering & physics Feb 27, 2020
Prediction of ground reaction force (GRF) magnitudes during running-based sports has several important applications, including optimal load prescription and injury prevention in athletes. Existing methods typically require information from multiple b...
Female Torso Young Adult Biomechanical Phenomena Running Male Acceleration Humans Mechanical Phenomena Neural Networks, Computer
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