A Fully Automatic Photogrammetric System Design Using a 1.3 Mp Web Camera To Determine Eeg Electrode Positions;
| dc.contributor.author | Şengül,G. | |
| dc.contributor.author | Baysal,U. | |
| dc.date.accessioned | 2024-07-05T15:43:28Z | |
| dc.date.available | 2024-07-05T15:43:28Z | |
| dc.date.issued | 2010 | |
| dc.description.abstract | In this study a fully automatic fotogrammetric system is designed to determine the EEG electrode positions in 3D. The proposed system uses a 1.3 MP web camera rotating over the subject's head. The camera is driven by a step motor. The camera takes photos in every 7.20 angles during the rotation. In order to realize full automation, electrodes are labeled by colored circular markers and an electrode identification algorithm is develeoped for full automation. The proposed method is tested by using a realistic head phantom carrying 25 electrodes. The positions of the test electrodes are also measured by a conventional 3-D digitizer. The measurements are repeated 3 times for repeatibility purposes. It is found that 3-d digitizer localizes the electrodes with an average error of 8.46 mm, 7.63 mm and 8.32 mm, while the proposed system localizes the electrodes with an average error of 1.76 mm, 1.42 mm and 1.53 mm. ©2010 IEEE. | en_US |
| dc.identifier.doi | 10.1109/BIYOMUT.2010.5479777 | |
| dc.identifier.isbn | 978-142446382-4 | |
| dc.identifier.scopus | 2-s2.0-77954435820 | |
| dc.identifier.uri | https://doi.org/10.1109/BIYOMUT.2010.5479777 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14411/3633 | |
| dc.language.iso | tr | en_US |
| dc.relation.ispartof | 2010 15th National Biomedical Engineering Meeting, BIYOMUT2010 -- 2010 15th National Biomedical Engineering Meeting, BIYOMUT2010 -- 21 April 2010 through 24 April 2010 -- Antalya -- 80917 | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | [No Keyword Available] | en_US |
| dc.title | A Fully Automatic Photogrammetric System Design Using a 1.3 Mp Web Camera To Determine Eeg Electrode Positions; | en_US |
| dc.title.alternative | Eeg Elektrot Konumlarini Belirlemek İ̇çin 1.3 Mp İ̇nternet Kamera Kullanan Tam Otomatik Fotogrametrik Sistem Tasarimi | en_US |
| dc.type | Conference Object | en_US |
| dspace.entity.type | Publication | |
| gdc.author.scopusid | 8402817900 | |
| gdc.author.scopusid | 6603193438 | |
| gdc.bip.impulseclass | C5 | |
| gdc.bip.influenceclass | C5 | |
| gdc.bip.popularityclass | C5 | |
| gdc.coar.access | metadata only access | |
| gdc.coar.type | text::conference output | |
| gdc.collaboration.industrial | false | |
| gdc.description.department | Atılım University | en_US |
| gdc.description.departmenttemp | Şengül G., Bilgisayar Mühendisliǧi Bölümü, Atilim Üniversitesi, Turkey; Baysal U., Elektrik-Elektronik Mühendisliǧi Bölümü, Hacettepe Üniversitesi, Turkey | en_US |
| gdc.description.endpage | 4 | |
| gdc.description.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| gdc.description.startpage | 1 | |
| gdc.identifier.openalex | W2053147317 | |
| gdc.index.type | Scopus | |
| gdc.oaire.diamondjournal | false | |
| gdc.oaire.impulse | 0.0 | |
| gdc.oaire.influence | 2.5349236E-9 | |
| gdc.oaire.isgreen | false | |
| gdc.oaire.popularity | 4.5291648E-10 | |
| gdc.oaire.publicfunded | false | |
| gdc.oaire.sciencefields | 03 medical and health sciences | |
| gdc.oaire.sciencefields | 0302 clinical medicine | |
| gdc.oaire.sciencefields | 0202 electrical engineering, electronic engineering, information engineering | |
| gdc.oaire.sciencefields | 02 engineering and technology | |
| gdc.openalex.collaboration | National | |
| gdc.openalex.fwci | 0.0 | |
| gdc.openalex.normalizedpercentile | 0.19 | |
| gdc.opencitations.count | 0 | |
| gdc.plumx.mendeley | 2 | |
| gdc.plumx.scopuscites | 0 | |
| gdc.scopus.citedcount | 0 | |
| gdc.virtual.author | Şengül, Gökhan | |
| relation.isAuthorOfPublication | f291b4ce-c625-4e8e-b2b7-b8cddbac6c7b | |
| relation.isAuthorOfPublication.latestForDiscovery | f291b4ce-c625-4e8e-b2b7-b8cddbac6c7b | |
| relation.isOrgUnitOfPublication | e0809e2c-77a7-4f04-9cb0-4bccec9395fa | |
| relation.isOrgUnitOfPublication | 4abda634-67fd-417f-bee6-59c29fc99997 | |
| relation.isOrgUnitOfPublication | 50be38c5-40c4-4d5f-b8e6-463e9514c6dd | |
| relation.isOrgUnitOfPublication.latestForDiscovery | e0809e2c-77a7-4f04-9cb0-4bccec9395fa |
