Recurrent Neural Network Methods for Extracting Dynamic Balance Variables during Gait from a Single Inertial Measurement Unit

Recurrent Neural Network Methods for Extracting Dynamic Balance Variables during Gait from a Single Inertial Measurement Unit

Monitoring dynamic balance during gait is critical for fall prevention in the elderly. The current study aimed to develop recurrent neural network models for extracting balance variables from a single inertial measurement unit (IMU) placed on the sacrum during walking. Thirteen healthy young and thi...

Full description

Bibliographic Details
Main Authors: Cheng-Hao Yu, Chih-Ching Yeh, Yi-Fu Lu, Yi-Ling Lu, Ting-Ming Wang, Frank Yeong-Sung Lin, Tung-Wu Lu
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Sensors
Subjects:
balance control
recurrent neural network
inertial measurement unit
gait
Online Access:https://www.mdpi.com/1424-8220/23/22/9040

Internet

https://www.mdpi.com/1424-8220/23/22/9040

Similar Items