dc.contributor.author | Šumanas, Marius | |
dc.contributor.author | Trečiokaitė, Vaiva | |
dc.contributor.author | Čerškus, Aurimas | |
dc.contributor.author | Dzedzickis, Andrius | |
dc.contributor.author | Bučinskas, Vytautas | |
dc.contributor.author | Morkvėnaitė-Vilkončienė, Inga | |
dc.date.accessioned | 2023-09-18T16:18:08Z | |
dc.date.available | 2023-09-18T16:18:08Z | |
dc.date.issued | 2022 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/112980 | |
dc.description.abstract | Working in an office environment leads to sedentary behavior. Prolonged sitting increases back pain and soreness, leading to spinal trauma – scoliosis. Therefore, this research aims to create an automatic tool to help identify the main human body characteristics responsible for good body mass distribution. For this purpose, an 8 × 8 pressure sensor matrix with signal acquisition system was built using Velostat. The commercially available composite piezoresistive material was selected as a pressure transducer due to its flexibility, versatility and low price. After system calibration, its functionality was validated by observing the sitting postures of 9 participants. Participant matrix map analysis showed differences in force distribution between sexes and subjects with and without spine trauma. This research will help monitor the office environment and increase workers’ health and productivity. | eng |
dc.format | PDF | |
dc.format.extent | p. 192-201 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.relation.ispartofseries | Advances in Intelligent Systems and Computing vol. 1427 2194-5357 2194-5365 | |
dc.source.uri | https://link.springer.com/chapter/10.1007/978-3-031-03502-9_20 | |
dc.title | Sitting posture monitoring using Velostat based pressure sensors matrix | |
dc.type | Straipsnis recenzuotame konferencijos darbų leidinyje / Paper published in peer-reviewed conference publication | |
dcterms.references | 11 | |
dc.type.pubtype | P1d - Straipsnis recenzuotame konferencijos darbų leidinyje / Article published in peer-reviewed conference proceedings | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.faculty | Mechanikos fakultetas / Faculty of Mechanics | |
dc.subject.researchfield | T 009 - Mechanikos inžinerija / Mechanical enginering | |
dc.subject.studydirection | E06 - Mechanikos inžinerija / Mechanical engineering | |
dc.subject.vgtuprioritizedfields | MC0101 - Mechatroninės gamybos sistemos Pramonė 4.0 platformoje / Mechatronic for Industry 4.0 Production System | |
dc.subject.ltspecializations | L104 - Nauji gamybos procesai, medžiagos ir technologijos / New production processes, materials and technologies | |
dc.subject.en | sitting posture | |
dc.subject.en | spinal trauma | |
dc.subject.en | sensors matrix | |
dc.subject.en | Velostat | |
dc.subject.en | multiplexer | |
dc.subject.en | BMI index | |
dcterms.sourcetitle | Automation 2022: New solutions and technologies for automation, robotics and measurement techniques | |
dc.publisher.name | Springer | |
dc.publisher.city | Cham | |
dc.identifier.doi | 10.1007/978-3-031-03502-9_20 | |
dc.identifier.elaba | 127186891 | |