Autoencoder-Enhanced Convolutional Neural Networks for Plantar Pressure-Based Gait Pattern Recognition: Model Development and Cross-Validated Evaluation Study.

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Bibliographic Details
Title: Autoencoder-Enhanced Convolutional Neural Networks for Plantar Pressure-Based Gait Pattern Recognition: Model Development and Cross-Validated Evaluation Study.
Authors: Chang CC; Department of Automatic Control Engineering, Feng Chia University, Taichung, Taiwan., Lung CW; Department of Creative Product Design, Asia University, Taichung, Taiwan.; Rehabilitation Engineering Lab, Department of Health and Kinesiology, University of Illinois Urbana-Champaign, Urbana, IL, United States., Jan YK; Rehabilitation Engineering Lab, Department of Health and Kinesiology, University of Illinois Urbana-Champaign, Urbana, IL, United States., Lu QQ; Department of Automatic Control Engineering, Feng Chia University, Taichung, Taiwan., Wang YY; Department of Automatic Control Engineering, Feng Chia University, Taichung, Taiwan., Chen YS; Department of Communications Engineering, Feng Chia University, Taichung, Taiwan., Liau BY; Department of Automatic Control Engineering, Feng Chia University, Taichung, Taiwan.
Source: JMIR formative research [JMIR Form Res] 2026 Apr 21; Vol. 10, pp. e88488. Date of Electronic Publication: 2026 Apr 21.
Publication Type: Journal Article
Journal Info: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 101726394 Publication Model: Electronic Cited Medium: Internet ISSN: 2561-326X (Electronic) Linking ISSN: 2561326X NLM ISO Abbreviation: JMIR Form Res Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2561-326X
DOI:10.2196/88488