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VGU RESEARCH REPOSITORY


Please use this identifier to cite or link to this item: https://epub.vgu.edu.vn/handle/dlibvgu/576
DC FieldValueLanguage
dc.contributor.authorDinh Hoang Phucen_US
dc.date.accessioned2020-03-12T17:04:20Z-
dc.date.available2020-03-12T17:04:20Z-
dc.date.issued2015-
dc.identifier.urihttp://epub.vgu.edu.vn/handle/dlibvgu/576-
dc.description.abstractThis work studies the problem of model-based hand gesture recognition via monocular camera. Nowadays, the majority of the human-computer interaction is based on mechanical devices such as keyboards, mouse, joysticks or gamepads. In this thesis, a hand gesture recognition method is developed which does not require additional support devices. Due to the time limitation, the work focuses on proposing a systematic algorithm for recognizing number of fingers present in the captured image frame. Evaluation experiments prove the robustness of the algorithm under certain conditions. The built mounting camera system allows for flexible real- time hand gesture detection __en_US
dc.language.isoenen_US
dc.publisherVietnamese-German Universityen_US
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectHand gesture detectionen_US
dc.subjectRecognitionen_US
dc.titleHand gesture detection, tracking, and recognitionen_US
dc.typeThesisen_US
item.fulltextWith Fulltext-
item.languageiso639-1other-
item.grantfulltextrestricted-
Appears in Collections:Electrical Engineering and Information Technology (EEIT)
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