Using Deep Learning Methods to Predict Walking Intensity from Plantar Pressure Images

Hsing Chung Chen, Sunardi, Yih Kuen Jan, Ben Yi Liau, Chih Yang Lin, Jen Yung Tsai, Cheng Tsung Li, Chi Wen Lung

研究成果: 書貢獻/報告類型會議論文篇章同行評審

4 引文 斯高帕斯(Scopus)

摘要

People with diabetes are recommended to perform exercise such as brisk walking to maintain their health. However, a fast walking speed can increase plantar pressure, especially at the forefoot and rearfoot areas, thereby increasing the risk of diabetic foot ulcers (DFU). The deep learning model can identify plantar pressure patterns for an early detection of DFU when performing various intensities of exercise. Therefore, this study aimed to identify differences in walking speeds to the plantar pressure response using deep learning methods, including Resnet50, InceptionV3, and MobileNets. The deep learning models were used to classify the plantar pressure images of healthy people walking on a treadmill. The design consisted of three walking speeds (1.8 mph, 3.6 mph, and 5.4 mph). Through 5-fold cross-validation, accuracy, and robustness, the Resnet50 model had a better performance compared to the other two models in the image classification with a mean F1 score of 0.8646 and a standard deviation of 0.0466. The results indicated that the Resnet50 model can be used to analyze plantar pressure images for assessing risks of DFU.

原文???core.languages.en_GB???
主出版物標題Advances in Physical, Social and Occupational Ergonomics - Proceedings of the AHFE 2021 Virtual Conferences on Physical Ergonomics and Human Factors, Social and Occupational Ergonomics, and Cross-Cultural Decision Making, 2021
編輯Ravindra S. Goonetilleke, Shuping Xiong, Henrijs Kalkis, Zenija Roja, Waldemar Karwowski, Atsuo Murata
發行者Springer Science and Business Media Deutschland GmbH
頁面270-277
頁數8
ISBN(列印)9783030807122
DOIs
出版狀態已出版 - 2021
事件AHFE Conferences on Physical Ergonomics and Human Factors, Social and Occupational Ergonomics, and Cross-Cultural Decision Making, 2021 - Virtual, Online
持續時間: 25 7月 202129 7月 2021

出版系列

名字Lecture Notes in Networks and Systems
273
ISSN(列印)2367-3370
ISSN(電子)2367-3389

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???event.eventtypes.event.conference???AHFE Conferences on Physical Ergonomics and Human Factors, Social and Occupational Ergonomics, and Cross-Cultural Decision Making, 2021
城市Virtual, Online
期間25/07/2129/07/21

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