Estimating dynamic plantar pressure distribution from wearable inertial sensors using a hybrid CNN-BiLSTM architecture
By: Yihan Qian, Dong Sun, Zifan Xia, Enze Shao, Yang Song, József Sárosi, István Bíró, Zixiang Gao and Yaodong Gu
Authors
Yihan Qian
Faculty of Sports Science, Ningbo University, Ningbo, China
Dong Sun
Faculty of Sports Science, Ningbo University, Ningbo, China
Zifan Xia
Faculty of Sports Science, Ningbo University, Ningbo, China
Enze Shao
Faculty of Sports Science, Ningbo University, Ningbo, China
Doctoral School on Safety and Security Sciences, Óbuda University, Budapest, Hungary
Yang Song
Department of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong, China
József Sárosi
Faculty of Engineering, University of Szeged, Szeged, Hungary
István Bíró
Doctoral School on Safety and Security Sciences, Óbuda University, Budapest, Hungary
Faculty of Engineering, University of Szeged, Szeged, Hungary
Zixiang Gao
Human Performance Laboratory, Faculty of Kinesiology, University of Calgary, Calgary, Canada
Language: English
Page range: 211 - 227
Submitted on: Jun 3, 2025
Accepted on: Jul 3, 2025
Published on: Aug 26, 2025
Published by: Wroclaw University of Science and Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
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© 2025 Yihan Qian, Dong Sun, Zifan Xia, Enze Shao, Yang Song, József Sárosi, István Bíró, Zixiang Gao, Yaodong Gu, published by Wroclaw University of Science and Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.