Indirect measurement of ground reaction forces and moments by means of wearable inertial sensors: A systematic review
In the last few years, estimating ground reaction forces by means of wearable sensors has
come to be a challenging research topic paving the way to kinetic analysis and sport …
come to be a challenging research topic paving the way to kinetic analysis and sport …
Extended application of inertial measurement units in biomechanics: From activity recognition to force estimation
W Liang, F Wang, A Fan, W Zhao, W Yao, P Yang - Sensors, 2023 - mdpi.com
Abnormal posture or movement is generally the indicator of musculoskeletal injuries or
diseases. Mechanical forces dominate the injury and recovery processes of musculoskeletal …
diseases. Mechanical forces dominate the injury and recovery processes of musculoskeletal …
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 …
Estimation of knee joint forces in sport movements using wearable sensors and machine learning
Knee joint forces (KJF) are biomechanical measures used to infer the load on knee joint
structures. The purpose of this study is to develop an artificial neural network (ANN) that …
structures. The purpose of this study is to develop an artificial neural network (ANN) that …
A machine learning and wearable sensor based approach to estimate external knee flexion and adduction moments during various locomotion tasks
Joint moment measurements represent an objective biomechanical parameter of knee joint
load in knee osteoarthritis (KOA). Wearable sensors in combination with machine learning …
load in knee osteoarthritis (KOA). Wearable sensors in combination with machine learning …
Foot pressure wearable sensors for freezing of gait detection in Parkinson's disease
Freezing of Gait (FoG) is a common symptom in Parkinson's Disease (PD) occurring with
significant variability and severity and is associated with increased risk of falls. FoG …
significant variability and severity and is associated with increased risk of falls. FoG …
Machine learning for rapid estimation of lower extremity muscle and joint loading during activities of daily living
Joint contact and muscle forces estimated with musculoskeletal modeling techniques offer
useful metrics describing movement quality that benefit multiple research and clinical …
useful metrics describing movement quality that benefit multiple research and clinical …
Estimation of lower extremity joint moments and 3d ground reaction forces using imu sensors in multiple walking conditions: A deep learning approach
Human kinetics, specifically joint moments and ground reaction forces (GRFs) can provide
important clinical information and can be used to control assistive devices. Traditionally …
important clinical information and can be used to control assistive devices. Traditionally …
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 …
[HTML][HTML] Estimation of vertical walking ground reaction force in real-life environments using single IMU sensor
E Shahabpoor, A Pavic - Journal of biomechanics, 2018 - Elsevier
Monitoring natural human gait in real-life environments is essential in many applications,
including quantification of disease progression, monitoring the effects of treatment, and …
including quantification of disease progression, monitoring the effects of treatment, and …