AIMC Topic: Running

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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 ...
Biomechanical Phenomena Male Deep Learning Running Wearable Electronic Devices Walking Female Humans Adult
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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...
Young Adult Adult Biomechanical Phenomena Male Machine Learning Algorithms Female Tibia Foot Shoes Musculoskeletal Physiological Phenomena Wearable Electronic Devices Humans Feasibility Studies Running
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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...
Knee Ankle Joint Ankle Female Hip Lower Extremity Knee Joint Adult Exoskeleton Device Muscle, Skeletal Walking Gait Hip Joint Biomechanical Phenomena Robotics Humans Running Locomotion Male Gait Analysis
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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...
Biomechanical Phenomena Models, Biological Running Torque Biomimetics Animals Robotics Gait Weights and Measures Locomotion Cockroaches Viscoelastic Substances
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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....
Cluster Analysis Signal Processing, Computer-Assisted Running Deep Learning Logistic Models Support Vector Machine Neural Networks, Computer Algorithms Humans
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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...
Running Accelerometry Gait Analysis Deep Learning Lower Extremity Humans Biomechanical Phenomena
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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...
Physical Exertion Running Heart Rate Perception Humans Machine Learning Algorithms Pilot Projects
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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...
Running Humans Bicycling Wireless Technology Support Vector Machine Walking
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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...
Humans Neural Networks, Computer Biomechanical Phenomena Male Female Young Adult Torso Running Acceleration Mechanical Phenomena
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Accurate Ambulatory Gait Analysis in Walking and Running Using Machine Learning Models.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Dec 10, 2019
Wearable sensors have been proposed as alternatives to traditional laboratory equipment for low-cost and portable real-time gait analysis in unconstrained environments. However, the moderate accuracy of these systems currently limits their widespread...
Biomechanical Phenomena Reproducibility of Results Foot Running Walking Young Adult Humans Orthotic Devices Healthy Volunteers Male Machine Learning Adult Gait Support Vector Machine Algorithms
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