OAK

기하정보를 이용한 손 포즈 추정 및 추적을 통한 손동작 인식

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Author(s)
송영민전지원전문구
Type
Conference Paper
Citation
2017년도 대한전자공학회 정기총회 및 추계학술대회, pp.846 - 848
Issued Date
2017-11-24
Abstract
In this paper, we introduce the hand pose estimation and the simple hand gesture recognition via tracking to preparing more realistic user interface and experience for augmented and virtual reality applications. Before applying our techniques to the standalone and mobile platform. we implemented our method in the PC and evaluated it on the public dataset. The results are comparable with the reference method with the real-time speed.
Publisher
대한전자공학회
Conference Place
KO
송도 컨벤시아
URI
https://scholar.gist.ac.kr/handle/local/20097
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