Predicting Running Vertical Ground Reaction Forces Using Neural Network Models Based on an IMU Sensor

Predicting Running Vertical Ground Reaction Forces Using Neural Network Models Based on an IMU Sensor

Vertical ground reaction force (vGRF) plays an important role in the study of running-related injuries (RRIs). This study explores the synchronization method between inertial measurement unit (IMU) and vGRF data of running and develops ANN models to accurately predict vGRF. Fifteen runners participa...

Full description

Saved in:
Bibliographic Details
Main Authors: Shangxiao Li, Jiahui Pan, Dongmei Wang, Shufang Yuan, Jin Yang, Weiya Hao
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Sensors
Subjects:
artificial neural network
wearable sensor
running-related injuries
synchronization algorithm
Online Access:https://www.mdpi.com/1424-8220/25/13/3870
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/1424-8220/25/13/3870

Similar Items