Image Processing Based Stiffness Mapping of a Haptic Device
| dc.contributor.author | Taner, Barış | |
| dc.contributor.author | Dede, Mehmet İsmet Can | |
| dc.coverage.doi | 10.1007/978-3-319-45450-4_45 | |
| dc.date.accessioned | 2018-11-30T13:04:21Z | |
| dc.date.available | 2018-11-30T13:04:21Z | |
| dc.date.issued | 2017 | |
| dc.description | Joint International Conference of the 12th International Conference on Mechanisms and Mechanical Transmissions, MTM 2016 and the 23rd International Conference on Robotics, Robotics 2016; Aachen; Germany; 26 October 2016 through 27 October 2016 | en_US |
| dc.description.abstract | The widely accepted performance criteria of haptic devices, which are transparency and z-width, are affected by the stiffness characteristics of the haptic device’s mechanism. In addition indirect measurement of the handle pose of a haptic device is also affected by the stiffness characteristic. In this study, image processing techniques are used in the experimental setup to develop a stiffness map of a haptic device. The experimentally developed stiffness map is presented and the results are discussed by addressing future works. | en_US |
| dc.description.sponsorship | The Scientific and Technological Research Council of Turkey via grant number 115E726 | en_US |
| dc.identifier.citation | Taner, B., and Dede, M.İ.C. (2017). Image processing based stiffness mapping of a haptic device. In Corves B., Lovasz EC., Hüsing M., Maniu I., and Gruescu C. (Eds.) New Advances in Mechanisms, Mechanical Transmissions and Robotics, (pp. 447-454). Cham: Springer. doi:10.1007/978-3-319-45450-4_45 | en_US |
| dc.identifier.doi | 10.1007/978-3-319-45450-4_45 | |
| dc.identifier.doi | 10.1007/978-3-319-45450-4_45 | en_US |
| dc.identifier.isbn | 978-331945449-8 | |
| dc.identifier.issn | 2211-0984 | |
| dc.identifier.scopus | 2-s2.0-84992677812 | |
| dc.identifier.uri | https://doi.org/10.1007/978-3-319-45450-4_45 | |
| dc.identifier.uri | https://hdl.handle.net/11147/7028 | |
| dc.language.iso | en | en_US |
| dc.publisher | Springer | en_US |
| dc.relation | info:eu-repo/grantAgreement/TUBITAK/EEEAG/115E726 | en_US |
| dc.relation.ispartof | New Advances in Mechanisms, Mechanical Transmissions and Robotics | en_US |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.subject | Haptic devices | en_US |
| dc.subject | Image processing | en_US |
| dc.subject | Stiffness mapping | en_US |
| dc.title | Image Processing Based Stiffness Mapping of a Haptic Device | en_US |
| dc.type | Conference Object | en_US |
| dspace.entity.type | Publication | |
| gdc.author.institutional | Taner, Barış | |
| gdc.author.institutional | Dede, Mehmet İsmet Can | |
| gdc.bip.impulseclass | C5 | |
| gdc.bip.influenceclass | C5 | |
| gdc.bip.popularityclass | C5 | |
| gdc.coar.access | open access | |
| gdc.coar.type | text::conference output | |
| gdc.collaboration.industrial | false | |
| gdc.description.department | İzmir Institute of Technology. Mechanical Engineering | en_US |
| gdc.description.endpage | 454 | en_US |
| gdc.description.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| gdc.description.scopusquality | Q4 | |
| gdc.description.startpage | 447 | en_US |
| gdc.description.volume | 46 | en_US |
| gdc.description.wosquality | N/A | |
| gdc.identifier.openalex | W2527178702 | |
| gdc.identifier.wos | WOS:000404231000045 | |
| gdc.index.type | WoS | |
| gdc.index.type | Scopus | |
| gdc.oaire.diamondjournal | false | |
| gdc.oaire.downloads | 0 | |
| gdc.oaire.impulse | 1.0 | |
| gdc.oaire.influence | 3.457767E-9 | |
| gdc.oaire.isgreen | true | |
| gdc.oaire.keywords | Image processing | |
| gdc.oaire.keywords | Haptic devices | |
| gdc.oaire.keywords | Stiffness mapping | |
| gdc.oaire.popularity | 3.2144427E-9 | |
| gdc.oaire.publicfunded | false | |
| gdc.oaire.sciencefields | 0209 industrial biotechnology | |
| gdc.oaire.sciencefields | 0202 electrical engineering, electronic engineering, information engineering | |
| gdc.oaire.sciencefields | 02 engineering and technology | |
| gdc.oaire.views | 2 | |
| gdc.openalex.collaboration | National | |
| gdc.openalex.fwci | 2.22864168 | |
| gdc.openalex.normalizedpercentile | 0.88 | |
| gdc.openalex.toppercent | TOP 10% | |
| gdc.opencitations.count | 4 | |
| gdc.plumx.crossrefcites | 2 | |
| gdc.plumx.mendeley | 2 | |
| gdc.plumx.scopuscites | 5 | |
| gdc.scopus.citedcount | 5 | |
| gdc.wos.citedcount | 3 | |
| relation.isAuthorOfPublication.latestForDiscovery | 8fed21e3-9b48-4c81-8362-9e6b9ff553b8 | |
| relation.isOrgUnitOfPublication.latestForDiscovery | 9af2b05f-28ac-4022-8abe-a4dfe192da5e |