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dc.contributor.authorRoda-Sales, Alba
dc.contributor.authorSancho-Bru, Joaquin L.
dc.contributor.authorVergara, Margarita
dc.date.accessioned2023-09-08T11:42:32Z
dc.date.available2023-09-08T11:42:32Z
dc.date.issued2023-08-01
dc.identifier.citationRoda-Sales, A.; Sancho-Bru, J.L.; Vergara, M. Evaluating a Kinematic Data Glove with Pressure Sensors to Automatically Differentiate Free Motion from Product Manipulation. Appl. Sci. 2023, 13, 8765. https://doi.org/10.3390/app13158765ca_CA
dc.identifier.issn2076-3417
dc.identifier.urihttp://hdl.handle.net/10234/204113
dc.description.abstractWhen studying hand kinematics, it is key to differentiate between free motion and manipulation. This differentiation can be achieved using pressure sensors or through visual analysis in the absence of sensors. Certain data gloves, such as the CyberGlove II, allow recording hand kinematics with good accuracy when properly calibrated. Other gloves, such as the Virtual Motion Glove 30 (VMG30), are also equipped with pressure sensors to detect object contact. The aim of this study is to perform a technical validation to evaluate the feasibility of using virtual reality gloves with pressure sensors such as the VMG30 for hand kinematics characterization during product manipulation, testing its accuracy for motion recording when compared with CyberGlove as well as its ability to differentiate between free motion and manipulation using its pressure sensors in comparison to visual analysis. Firstly, both data gloves were calibrated using a specific protocol developed by the research group. Then, the active ranges of motion of 16 hand joints angles were recorded in three participants using both gloves and compared using repeated measures ANOVAs. The detection capability of pressure sensors was compared to visual analysis in two participants while performing six tasks involving product manipulation. The results revealed that kinematic data recordings from the VMG30 were less accurate than those from the CyberGlove. Furthermore, the pressure sensors did not provide additional precision with respect to the visual analysis technique. In fact, several pressure sensors were rarely activated, and the distribution of pressure sensors within the glove was questioned. Current available gloves such as the VMG30 would require design improvements to fit the requirements for kinematics characterization during product manipulation. The pressure sensors should have higher sensitivity, the pressure sensor’s location should comprise the palm, glove fit should be improved, and its overall stiffness should be reduced.ca_CA
dc.format.extent13 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherMDPIca_CA
dc.relationCaracterización de movimientos y esfuerzos musculares de la mano sana orientada a la evaluación funcional y al diseño y adaptación de productos para manipulaciónca_CA
dc.relation.isPartOfApplied Sciences, 2023, vol. 13, no 15ca_CA
dc.relation.urihttps://doi.org/10.5281/zenodo.8193094ca_CA
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/ca_CA
dc.subjecthandca_CA
dc.subjectdata gloveca_CA
dc.subjecthand kinematicsca_CA
dc.subjectpressure sensorca_CA
dc.subjecthand postureca_CA
dc.subjectgraspca_CA
dc.subjectmanipulationca_CA
dc.subjectcontact detectionca_CA
dc.titleEvaluating a Kinematic Data Glove with Pressure Sensors to Automatically Differentiate Free Motion from Product Manipulationca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttps://doi.org/10.3390/app13158765
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA
dc.relation.publisherVersionhttps://www.mdpi.com/2076-3417/13/15/8765ca_CA
dc.type.versioninfo:eu-repo/semantics/publishedVersionca_CA
project.funder.identifierhttp://dx.doi.org/10.13039/501100011033ca_CA
project.funder.nameAgencia Financiadora: Ministerio de Ciencia, Innovación y Universidadesca_CA
project.funder.nameGeneralitat Valencianaca_CA
oaire.awardNumberMICIU/ICTI2017-2020/PGC2018-095606-B-C21ca_CA
oaire.awardNumberCIGE/2021/024ca_CA


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