Long-Term Gait-Balance Monitoring Artificial Intelligence System for Various Terrain Types

Long-Term Gait-Balance Monitoring Artificial Intelligence System for Various Terrain Types

A long-term gait-balance monitoring system for various terrain types was developed using an inertial measurement unit (IMU) and deep-learning model. The system aims to identify unstable gait caused by lower-limb degeneration to prevent fall-related injuries. Unlike previous studies that have only fo...

Full description

Saved in:
Bibliographic Details
Main Authors: Mao-Hsu Yen, Si-Huei Lee, Chien-Chang Lee, Huie-You Chen, Bor-Shing Lin
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Deep learning
gait balance
long-term monitoring
edge computing
Berg balance scale (BBS)
Online Access:https://ieeexplore.ieee.org/document/10758284/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/10758284/

Similar Items