Estimation of Vertical Ground Reaction Force during Running using Neural Network Model and Uniaxial Accelerometer

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 and can be complicated. This paper investigates the use of neural network model (NN) and accelerometer to estimate vertical ground reaction force (VGRF). An experimental study was conducted to collect sufficient samples for training, validation and testing.
Source: Journal of Biomechanics - Category: Biomedical Science Authors: Tags: Short communication Source Type: research