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NEST: A Novel Ensemble Method for Estimating Spatio-Temporal Gait Parameters Using Inertial Measurement Units Cover

NEST: A Novel Ensemble Method for Estimating Spatio-Temporal Gait Parameters Using Inertial Measurement Units

Journal of Artificial Intelligence and Soft Computing Research
Volume 15 (2025): Issue 4 (October 2025)
By: Chih-Chao Hsu,  Hsu-Chao Lai,  Guan-Yi Jhang,  Jiun-Long Huang and  Jun-Zhe Wang  
Open Access
|Jul 2025

Authors

Chih-Chao Hsu

Department of Computer Science, National Yang Ming Chiao Tung University, Taiwan

Hsu-Chao Lai

Department of Computer Science, National Yang Ming Chiao Tung University, Taiwan

Guan-Yi Jhang

Department of Computer Science, National Yang Ming Chiao Tung University, Taiwan

Jiun-Long Huang

Department of Computer Science, National Yang Ming Chiao Tung University, Taiwan

Jun-Zhe Wang

jzwang@yuntech.edu.tw

Department of Computer Science and Information Engineering, Graduate School of Engineering Science and Technology, National Yunlin University of Science and Technology, Taiwan
DOI: https://doi.org/10.2478/jaiscr-2025-0016
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Language: English
Page range: 319 - 336
Submitted on: Mar 8, 2025
|
Accepted on: Jun 12, 2025
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Published on: Jul 11, 2025
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
gait analysis,
feature fusion,
stacking ensemble,
inertial measurement units,
spatio-temporal gait parameters
Related subjects:
Computer sciences,
Databases and data mining,
Artificial intelligence

© 2025 Chih-Chao Hsu, Hsu-Chao Lai, Guan-Yi Jhang, Jiun-Long Huang, Jun-Zhe Wang, published by SAN University
This work is licensed under the Creative Commons Attribution 4.0 License.

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