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<dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:invenio="http://invenio-software.org/elements/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>doi:10.1109/JSEN.2023.3324363</dc:identifier><dc:language>deu</dc:language><dc:creator>Martínez-Cesteros, Javier</dc:creator><dc:creator>Medrano-Sánchez, Carlos</dc:creator><dc:creator>Castellanos-Ramos, Julián</dc:creator><dc:creator>Sánchez-Durán, José A.</dc:creator><dc:creator>Plaza-García, Inmaculada</dc:creator><dc:title>Creep and hysteresis compensation in pressure-sensitive mats for improving center-of-pressure measurements</dc:title><dc:identifier>ART-2023-136449</dc:identifier><dc:description>Large-area tactile sensors are used to image the pressure exerted by human body parts. More specifically, they can be used to measure plantar pressure on human stability tests. The center-of-pressure (CoP) trajectory is the primary outcome of such tests. Previous research has shown that the parameters obtained from the trajectory correlate with those obtained from a reference instrument, that is, a force platform (FP). However, there are still noticeable differences. In this work, a low-cost prototype of a pressure-sensitive mat (PSM) has been built and compared with an FP in stability tests. The sensitive material is Velostat, which is readily available. Such a mat could make objective stability tests more accessible. A model of two nonlinear effects, hysteresis and creep, has been considered to compensate for them. Given that it was rather difficult to characterize the large mat with a pneumatic device, a small-sized sensor array was first characterized in a controlled environment. Then the model was extended to the large mat using a suitable scaling factor. The experimental results show that compensating for the nonlinear effects led to a decrease in the differences between the two instruments, the FP and the mat, with an average improvement of 26% in the distance between the trajectories.</dc:description><dc:date>2023</dc:date><dc:source>http://zaguan.unizar.es/record/130143</dc:source><dc:doi>10.1109/JSEN.2023.3324363</dc:doi><dc:identifier>http://zaguan.unizar.es/record/130143</dc:identifier><dc:identifier>oai:zaguan.unizar.es:130143</dc:identifier><dc:relation>info:eu-repo/grantAgreement/ES/DGA/T49-20R</dc:relation><dc:relation>info:eu-repo/grantAgreement/ES/MCIN/PID2021-125091OB-I00</dc:relation><dc:relation>info:eu-repo/grantAgreement/ES/MCIU/FPU18-04282</dc:relation><dc:identifier.citation>IEEE SENSORS JOURNAL 23, 23 (2023), 29585-29593</dc:identifier.citation><dc:rights>by</dc:rights><dc:rights>https://creativecommons.org/licenses/by/4.0/deed.es</dc:rights><dc:rights>info:eu-repo/semantics/openAccess</dc:rights></dc:dc>

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