Wearable IMU-Based Human Activity Recognition Algorithm for Clinical Balance Assessment Using 1D-CNN and GRU Ensemble Model

Wearable IMU-Based Human Activity Recognition Algorithm for Clinical Balance Assessment Using 1D-CNN and GRU Ensemble Model

In this study, a wearable inertial measurement unit system was introduced to assess patients via the Berg balance scale (BBS), a clinical test for balance assessment. For this purpose, an automatic scoring algorithm was developed. The principal aim of this study is to improve the performance of the...

Full description

Saved in:
Bibliographic Details
Main Authors: Yeon-Wook Kim, Kyung-Lim Joa, Han-Young Jeong, Sangmin Lee
Format: article
Language:EN
Published: MDPI AG 2021
Subjects:
balance assessment
data augmentation
gated recurrent unit
human activity recognition
inertial measurement unit
one-dimensional convolutional neural network
Chemical technology
TP1-1185
Online Access:https://doaj.org/article/f9cc591b69dc431e8e3fd59e96bebaa4
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doaj.org/article/f9cc591b69dc431e8e3fd59e96bebaa4

Similar Items