2016
DOI: 10.1007/978-3-319-33111-9_3
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Foot Plantar Pressure Estimation Using Artificial Neural Networks

Abstract: Part 1: Smart ProductsInternational audienceIn this paper, we present a novel approach to estimate the maximum pressure over the foot plantar surface exerted by a two-layer shoe sole for three distinct phases of the gait cycle. The proposed method is based on Artificial Neural Networks and can be utilized for the determination of the comfort that is related to the sole construction. Input parameters to the proposed neural network are the material properties and the thicknesses of the sole layers (insole and ou… Show more

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Cited by 4 publications
(2 citation statements)
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“…An expert system for the fabrics selection to design transformable clothing based on user's level of quality is developed in Zakharkevich et al (2018). In the area of footwear industry, artificial neural networks (ANN) are used to develop a system for shoe lasts selection with mild diabetes (Wang et al, 2019) and for the estimation of the maximum pressure over the foot plantar surface exerted by a two-layer shoe sole for three distinct phases of the gait cycle (Xidias et al, 2015). Automated foot model reconstruction is accomplished through the use of the self-organizing Growing Neural Gas network (Jimeno-Morenilla et al, 2016).…”
Section: Artificial Intelligence For Design and Manufacturingmentioning
confidence: 99%
“…An expert system for the fabrics selection to design transformable clothing based on user's level of quality is developed in Zakharkevich et al (2018). In the area of footwear industry, artificial neural networks (ANN) are used to develop a system for shoe lasts selection with mild diabetes (Wang et al, 2019) and for the estimation of the maximum pressure over the foot plantar surface exerted by a two-layer shoe sole for three distinct phases of the gait cycle (Xidias et al, 2015). Automated foot model reconstruction is accomplished through the use of the self-organizing Growing Neural Gas network (Jimeno-Morenilla et al, 2016).…”
Section: Artificial Intelligence For Design and Manufacturingmentioning
confidence: 99%
“…Τα οστά του ποδιού χωρίζονται σε τρεις ομάδες, τα οστά του ταρσού, τα μετατάρσια οστά και τις φάλαγγες. Τα οστά του ταρσού (Εικόνα 1 (α)) είναι η πτέρνα (1), ο αστράγαλος (2), το σκαφοειδές (4), το κυβοειδές (3) και τα τρία σφηνοειδή (5,6,7). Τα οστά του μεταταρσίου (Εικόνα 1 (β)) βρίσκονται στο πρόσθιο τμήμα του ποδιού, μεταξύ των ταρσικών οστών και των φαλαγγών των δαχτύλων.…”
Section: οστάunclassified