| dc.contributor.author | Yargic, Alper | |
| dc.contributor.author | Doğan, Muzaffer | |
| dc.date.accessioned | 2019-10-21T20:10:54Z | |
| dc.date.available | 2019-10-21T20:10:54Z | |
| dc.date.issued | 2013 | |
| dc.identifier.isbn | 978-1-4799-0661-1 -- 978-1-4799-0659-8 | |
| dc.identifier.uri | https://hdl.handle.net/11421/19947 | |
| dc.description | IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA) -- JUN 19-21, 2013 -- BULGARIA | en_US |
| dc.description | WOS: 000332186500042 | en_US |
| dc.description.abstract | Hearing-impaired people can read lips and lip reading applications may help them to improve their lip imitation skills. Speech of normal people can be recognized by even cellular phones but lip reading systems using only visual features remain important for hearing-impaired people. This paper aims to develop an application using MS Kinect camera to recognize Turkish color names to be used in the education of hearing-impaired children. Predefined lip points are located with depth information by the MS Kinect Face Tracking SDK. Words are segmented from the speech and the angles between the lip points are used as features to classify the words. Angles are computed using the 3D coordinates of the lip points. The KNN classifier is used to classify the words with Manhattan and Euclidean distances and the best feature vectors are tried to be found. As a result, the isolated words are classified with the success rate of 78.22%. | en_US |
| dc.description.sponsorship | IEEE, Bulgarian Sci Acad, Bulgarian Acad Sci, Inst Informat & Commun Technologies, IEEE Bulgarian Sect | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | IEEE | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Lip Reading | en_US |
| dc.subject | Ms Kinect Camera | en_US |
| dc.subject | 3D Face Tracking | en_US |
| dc.subject | K-Nearest Neighbor Classifier | en_US |
| dc.subject | Lip Activation | en_US |
| dc.subject | Lip Motion Detection | en_US |
| dc.title | A Lip Reading Application on MS Kinect Camera | en_US |
| dc.type | conferenceObject | en_US |
| dc.relation.journal | 2013 IEEE International Symposium On Innovations in Intelligent Systems and Applications (IEEE Inista) | en_US |
| dc.contributor.department | Anadolu Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
