Deep Learning-Based Near-Fall Detection Algorithm for Fall Risk Monitoring System Using a Single Inertial Measurement Unit-Reference-Cited by-同舟云学术

Deep Learning-Based Near-Fall Detection Algorithm for Fall Risk Monitoring System Using a Single Inertial Measurement Unit

Published:2022 Issue: Volume:30 Page:2385-2394
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Choi Ahnryul¹,Kim Tae Hyong²^ORCID,Yuhai Oleksandr²,Jeong Soohwan²,Kim Kyungran³,Kim Hyunggun²^ORCID,Mun Joung Hwan²^ORCID

Affiliation:

1. Department of Biomedical Engineering, Catholic Kwandong University, Gangneung, South Korea

2. Department of Bio-Mechatronic Engineering, Sungkyunkwan University, Suwon, South Korea

3. Agricultural Health and Safety Division, Rural Development Administration, Jeonju, South Korea

Funder

Rural Development Administration

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Link

Reference50 articles.

1. Hyperparameter optimization for machine learning models based on Bayesian optimization;jia;J Electron Sci Technol,2019

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