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...

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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
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