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Physics > Applied Physics

arXiv:1910.06370 (physics)
[Submitted on 14 Oct 2019 (v1), last revised 2 Feb 2020 (this version, v4)]

Title:A Novel Sensorised Insole for Sensing Feet Pressure Distributions

Authors:Ines Sorrentino, Francisco Javier Andrade Chavez, Claudia Latella, Luca Fiorio, Silvio Traversaro, Lorenzo Rapetti, Yeshasvi Tirupachuri, Nuno Guedelha, Marco Maggiali, Simeone Dussoni, Giorgio Metta, Daniele Pucci
View a PDF of the paper titled A Novel Sensorised Insole for Sensing Feet Pressure Distributions, by Ines Sorrentino and 10 other authors
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Abstract:Wearable sensors are gaining in popularity because they enable outdoor experimental monitoring. This paper presents a cost-effective sensorised insole based on a mesh of tactile capacitive sensors. Each sensor's spatial resolution is about 4 taxels/cm^2 in order to have an accurate reconstruction of the contact pressure distribution. As a consequence, the insole provides information such as contact forces, moments, and center of pressure. To retrieve this information, a calibration technique that fuses measurements from a vacuum chamber and shoes equipped with force/torque sensors is proposed. The validation analysis shows that the best performance achieved a root mean square error (RMSE) of about 7 N for the contact forces and 2 N m for the contact moments when using the force/torque shoe data as ground truth. Thus, the insole may be an alternative to force/torque sensors for certain applications, with a considerably more cost-effective and less invasive hardware.
Comments: 21 pages, 12 figures
Subjects: Applied Physics (physics.app-ph); Systems and Control (eess.SY)
Cite as: arXiv:1910.06370 [physics.app-ph]
  (or arXiv:1910.06370v4 [physics.app-ph] for this version)
  https://doi.org/10.48550/arXiv.1910.06370
arXiv-issued DOI via DataCite
Journal reference: A Novel Sensorised Insole for Sensing Feet Pressure Distributions. Sensors 2020, 20, 747
Related DOI: https://doi.org/10.3390/s20030747
DOI(s) linking to related resources

Submission history

From: Ines Sorrentino [view email]
[v1] Mon, 14 Oct 2019 18:25:37 UTC (5,490 KB)
[v2] Fri, 24 Jan 2020 15:06:53 UTC (6,774 KB)
[v3] Wed, 29 Jan 2020 09:43:53 UTC (6,996 KB)
[v4] Sun, 2 Feb 2020 14:45:15 UTC (6,290 KB)
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