Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/2041
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dc.contributor.authorÖztürk, O.-
dc.contributor.authorAksaç, Alper-
dc.contributor.authorÖzyer, Tansel-
dc.contributor.authorAlhajj, Reda-
dc.date.accessioned2019-07-10T14:42:48Z
dc.date.available2019-07-10T14:42:48Z
dc.date.issued2015-06-09
dc.identifier.citationOzturk, O., Aksac, A., Ozyer, T., & Alhajj, R. (2015). Boosting real-time recognition of hand posture and gesture for virtual mouse operations with segmentation. Applied Intelligence, 43(4), 786-801.en_US
dc.identifier.issn0924669X
dc.identifier.urihttps://link.springer.com/article/10.1007%2Fs10489-015-0680-z-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/2041-
dc.description.abstractThe design and implementation of polylogarithmically or polynomially bounded algorithms on faster processors has gained popularity and attracted the attention of both researchers and practitioners. The evolution in the computer hardware technology has boosted the development of real-time applications which are expected to respond within a strict time frame. One attractive sophisticated application, which requires real time response, is image capturing and recognition for effective human computer interaction. It is gaining popularity, especially after the development of hand held devices and touch screens. Real-time video processing response time is expressed by means of frame sequences; device dependent capability (20 frame/sec) designates real-time restrictions (a frame is needed to be processed within 50 ms). Video processing of virtual mouse operations requires real-time recognition, i.e., no delay in response can be tolerated. There are indeed several attempts to recognize hand gestures for different purposes. Sign language recognition stands out as the most popular one. However, virtual mouse operations may also be used in general by the majority of people in parallel for the proliferation of different applications on a variety of platforms such as tablet PCs, embedded devices, etc. One significant advantage of such systems fulfills the need for extra hardware system. To this end, we have developed a novel real-time virtual mouse application. Our system architecture recognizes defined postures and gestures. We have implemented, tested, and compared the performance of four methods, namely Chai (static), face (dynamic), regional (dynamic), and Duan. Further, various conditions, such as lighting, distinguishing skin color, and complex background have been considered and discussed. © 2015, Springer Science+Business Media New York.en_US
dc.language.isoenen_US
dc.publisherSpringer New York LLCen_US
dc.relation.ispartofApplied Intelligenceen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectGesture recognitionen_US
dc.subjectHuman computer interactionen_US
dc.subjecthand poseen_US
dc.titleBoosting Real-Time Recognition of Hand Posture and Gesture for Virtual Mouse Operations With Segmentationen_US
dc.typeArticleen_US
dc.departmentFaculties, Faculty of Engineering, Department of Computer Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümütr_TR
dc.identifier.volume43
dc.identifier.issue4
dc.identifier.startpage786
dc.identifier.endpage801
dc.identifier.wosWOS:000364385100007en_US
dc.identifier.scopus2-s2.0-84946489385en_US
dc.institutionauthorÖzyer, Tansel-
dc.identifier.doi10.1007/s10489-015-0680-z-
dc.authorscopusid8914139000-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ2-
item.openairetypeArticle-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
crisitem.author.dept02.1. Department of Artificial Intelligence Engineering-
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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