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  5. Smart Footwear Insole for Recognition of Foot Pronation and Supination Using Neural Networks

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Article
en
2019

Smart Footwear Insole for Recognition of Foot Pronation and Supination Using Neural Networks

0 Datasets

0 Files

en
2019
Vol 9 (19)
Vol. 9
DOI: 10.3390/app9193970

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Manuel Jesus Dominguez Morales
Manuel Jesus Dominguez Morales

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Manuel Jesus Dominguez Morales
Francisco Luna-Perejón
Lourdes Miró-Amarante
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Abstract

Abnormal foot postures during gait are common sources of pain and pathologies of the lower limbs. Measurements of foot plantar pressures in both dynamic and static conditions can detect these abnormal foot postures and prevent possible pathologies. In this work, a plantar pressure measurement system is developed to identify areas with higher or lower pressure load. This system is composed of an embedded system placed in the insole and a user application. The instrumented insole consists of a low-power microcontroller, seven pressure sensors and a low-energy bluetooth module. The user application receives and shows the insole pressure information in real-time and, finally, provides information about the foot posture. In order to identify the different pressure states and obtain the final information of the study with greater accuracy, a Deep Learning neural network system has been integrated into the user application. The neural network can be trained using a stored dataset in order to obtain the classification results in real-time. Results prove that this system provides an accuracy over 90% using a training dataset of 3000+ steps from 6 different users.

How to cite this publication

Manuel Jesus Dominguez Morales, Francisco Luna-Perejón, Lourdes Miró-Amarante, Mariló Hernández-Velázquez, José Luis Sevillano (2019). Smart Footwear Insole for Recognition of Foot Pronation and Supination Using Neural Networks. , 9(19), DOI: https://doi.org/10.3390/app9193970.

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Publication Details

Type

Article

Year

2019

Authors

5

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.3390/app9193970

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