Plantar Pressure-Based Gait Recognition with and Without Carried Object by Convolutional Neural Network-Autoencoder Architecture

Plantar Pressure-Based Gait Recognition with and Without Carried Object by Convolutional Neural Network-Autoencoder Architecture

Convolutional neural networks (CNNs) have been widely and successfully demonstrated for closed set recognition in gait identification, but they still lack robustness in open set recognition for unknown classes. To improve the disadvantage, we proposed a convolutional neural network autoencoder (CNN-...

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Bibliographic Details
Main Authors: Chin-Cheng Wu, Cheng-Wei Tsai, Fei-En Wu, Chi-Hsuan Chiang, Jin-Chern Chiou
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Biomimetics
Subjects:
plantar pressure
gait recognition
convolutional neural network-autoencoder architecture
Online Access:https://www.mdpi.com/2313-7673/10/2/79
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