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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.contributor.authorDzedzickis, Andrius
dc.contributor.authorBučinskas, Vytautas
dc.date.accessioned2023-09-18T16:19:44Z
dc.date.available2023-09-18T16:19:44Z
dc.date.issued2022
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/113233
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.eng
dc.formatPDF
dc.format.extentp. 1-7
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyConference Proceedings Citation Index - Science (Web of Science)
dc.relation.isreferencedbyIEEE Xplore
dc.relation.isreferencedbyScopus
dc.source.urihttps://ieeexplore.ieee.org/document/9781686
dc.titleTheoretical and experimental studies on the dynamic characteristics of human gait monitoring sensor
dc.typeStraipsnis konferencijos darbų leidinyje Web of Science DB / Paper in conference publication in Web of Science DB
dcterms.references26
dc.type.pubtypeP1a - Straipsnis konferencijos darbų leidinyje Web of Science DB / Article in conference proceedings Web of Science DB
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.institutionUniversité Grenoble Alpes
dc.contributor.facultyMechanikos fakultetas / Faculty of Mechanics
dc.contributor.departmentMechatronikos, robotikos ir skaitmeninės gamybos katedr... / Department of Mechatronics, Robotics and Digital Manufa...
dc.subject.researchfieldT 009 - Mechanikos inžinerija / Mechanical enginering
dc.subject.researchfieldT 008 - Medžiagų inžinerija / Material engineering
dc.subject.studydirectionE06 - Mechanikos inžinerija / Mechanical engineering
dc.subject.vgtuprioritizedfieldsMC03 - Išmaniosios įterptinės sistemos / Smart embedded systems
dc.subject.ltspecializationsL105 - Sveikatos technologijos ir biotechnologijos / Health technologies and biotechnologies
dc.subject.enpressure/force sensors
dc.subject.enhuman gait monitoring sensors
dc.subject.enVelostat
dc.subject.ensenors dynamic characteristics
dcterms.sourcetitle2022 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), 21 April 2022, Vilnius, Lithuania / organized by: Vilnius Gediminas Technical University
dc.publisher.nameIEEE
dc.publisher.cityPiscataway, NJ
dc.identifier.doi000848697000006
dc.identifier.doi10.1109/eStream56157.2022.9781686
dc.identifier.elaba132079622


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