Recent machine learning progress in lower limb running biomechanics with wearable technology: A systematic review
With the emergence of wearable technology and machine learning approaches, gait
monitoring in real-time is attracting interest from the sports biomechanics community. This …
monitoring in real-time is attracting interest from the sports biomechanics community. This …
Does site matter? impact of inertial measurement unit placement on the validity and reliability of stride variables during running: a systematic review and meta-analysis
Abstract Background Inertial measurement units (IMUs) are used for running gait analysis in
a variety of sports. These sensors have been attached at various locations to capture stride …
a variety of sports. These sensors have been attached at various locations to capture stride …
Prediction of lower limb kinetics and kinematics during walking by a single IMU on the lower back using machine learning
Recent studies have reported the application of artificial neural network (ANN) techniques
on data of inertial measurement units (IMUs) to predict ground reaction forces (GRFs), which …
on data of inertial measurement units (IMUs) to predict ground reaction forces (GRFs), which …
Multidimensional ground reaction forces and moments from wearable sensor accelerations via deep learning
Objective: Monitoring athlete internal workload exposure, including prevention of
catastrophic non-contact knee injuries, relies on the existence of a custom early-warning …
catastrophic non-contact knee injuries, relies on the existence of a custom early-warning …
Estimating ground reaction forces from two-dimensional pose data: a biomechanics-based comparison of alphapose, blazepose, and openpose
M Mundt, Z Born, M Goldacre, J Alderson - Sensors, 2022 - mdpi.com
The adoption of computer vision pose estimation approaches, used to identify keypoint
locations which are intended to reflect the necessary anatomical landmarks relied upon by …
locations which are intended to reflect the necessary anatomical landmarks relied upon by …
Estimating running ground reaction forces from plantar pressure during graded running
Ground reaction forces (GRFs) describe how runners interact with their surroundings and
provide the basis for computing inverse dynamics. Wearable technology can predict time …
provide the basis for computing inverse dynamics. Wearable technology can predict time …
Estimating vertical ground reaction force during walking using a single inertial sensor
The vertical ground reaction force (vGRF) and its passive and active peaks are important
gait parameters and of great relevance for musculoskeletal injury analysis and prevention …
gait parameters and of great relevance for musculoskeletal injury analysis and prevention …
Artificial neural networks in motion analysis—applications of unsupervised and heuristic feature selection techniques
The use of machine learning to estimate joint angles from inertial sensors is a promising
approach to in-field motion analysis. In this context, the simplification of the measurements …
approach to in-field motion analysis. In this context, the simplification of the measurements …
Predicting three-dimensional ground reaction forces in running by using artificial neural networks and lower body kinematics
DS Komaris, E Pérez-Valero, L Jordan, J Barton… - IEEE …, 2019 - ieeexplore.ieee.org
This study explored the use of artificial neural networks in the estimation of runners' kinetics
from lower body kinematics. Three supervised feed-forward artificial neural networks with …
from lower body kinematics. Three supervised feed-forward artificial neural networks with …
[HTML][HTML] The effect of footwear, running speed, and location on the validity of two commercially available inertial measurement units during running
INTRODUCTION: Most running-related injuries are believed to be caused by abrupt
changes in training load, compounded by biomechanical movement patterns. Wearable …
changes in training load, compounded by biomechanical movement patterns. Wearable …