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dc.rights.licenseVisos teisės saugomos / All rights reserveden_US
dc.contributor.authorTrečiokaitė, Vaiva
dc.contributor.authorLapkauskaitė, Karolina
dc.contributor.authorRasimavičius, Tadas
dc.contributor.authorMakulavičius, Mantas
dc.contributor.authorTamošiūnas, Justas
dc.contributor.authorThiriet, Jean-Marc
dc.date.accessioned2025-12-18T08:59:02Z
dc.date.available2025-12-18T08:59:02Z
dc.date.issued2022
dc.identifier.isbn9781665450492en_US
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/159587
dc.description.abstractDue to the growing need for low-cost, easy-to-use human health monitoring systems, it is important to develop new devices and their components. This paper presents the research on the dynamic characteristics of a cheap and straightforward Velostat®-based sensor that can be used to monitor human gait. The developed sensor prototype was tested using the Finite element method (FEM) and performing practical experiments using a developed test rig that dynamically loads the sensor. Results of FEM analysis show that the structure is reliable under a force of up to 5 N and its displacement linearly depends on the added force and does not exceed 0.1 μm, By simulating the human gait at different frequencies on the test bench as a sinusoidally cycling load, it was found that as the frequency increases up to 16 Hz, the variation of sensor response is insignificant. Therefore, such a sensor could be successfully implemented for human gait monitoring, and other applications where detecting a load trend change is preferred over monitoring its accurate amplitude.en_US
dc.format.extent7 p.en_US
dc.format.mediumTekstas / Texten_US
dc.language.isoenen_US
dc.relation.urihttps://etalpykla.vilniustech.lt/handle/123456789/159399en_US
dc.source.urihttps://ieeexplore.ieee.org/document/9781686en_US
dc.subjectpressure/force sensorsen_US
dc.subjecthuman gait monitoring sensorsen_US
dc.subjectVelostaten_US
dc.subjectsensors dynamic characteristicsen_US
dc.titleTheoretical and Experimental Studies on the Dynamic Characteristics of Human Gait Monitoring Sensoren_US
dc.typeKonferencijos publikacija / Conference paperen_US
dcterms.accrualMethodRankinis pateikimas / Manual submissionen_US
dcterms.issued2022-05-30
dcterms.references26en_US
dc.description.versionTaip / Yesen_US
dc.contributor.institutionVilniaus Gedimino technikos universitetasen_US
dc.contributor.institutionVilnius Gediminas Technical Universityen_US
dc.contributor.departmentMechatronikos, robotikos ir skaitmeninės gamybos katedra / Department of Mechatronics, Robotics and Digital Manufacturingen_US
dcterms.sourcetitle2022 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 21, 2022, Vilnius, Lithuaniaen_US
dc.identifier.eisbn9781665450485en_US
dc.identifier.eissn2690-8506en_US
dc.publisher.nameIEEEen_US
dc.publisher.countryUnited States of Americaen_US
dc.publisher.cityNew Yorken_US
dc.description.fundingorganizationResearch Council of Lithuania (LMTLT)en_US
dc.description.fundingorganizationState Education Development Agency of Latviaen_US
dc.description.fundingorganizationMinistry of Science and Technology (MOST) of Taiwanen_US
dc.description.grantnumberP-LLT-21-6en_US
dc.identifier.doihttps://doi.org/10.1109/eStream56157.2022.9781686en_US


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