HeroMirror Interactive: A Gesture Controlled Augmented Reality Gaming Experience

被引：1

作者：

Matuszka, Tamas ^{[1
]}

Czuczor, Ferenc ^{[2
]}

Sostai, Zoltan ^{[3
]}

机构：

[1] INDE R&D, Dept Res & Dev, Budapest, Hungary

[2] INDE R&D, Dept Software Dev, Budapest, Hungary

[3] INDE R&D, Dept Content Dev, Budapest, Hungary

来源：

SIGGRAPH '19 - ACM SIGGRAPH 2019 POSTERS | 2019年

关键词：

augmented reality; deep learning; human experience; computer vision; RECOGNITION;

D O I：

10.1145/3306214.3338554

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Appropriately chosen user interfaces are essential parts of immersive augmented reality experiences. Regular user interfaces cannot be efficiently used for interactive, real-time augmented reality applications. In this study, a gesture controlled educational gaming experience is described where gesture recognition relies on deep learning methods. Our implementation is able to replace a depth-camera based gesture recognition system using conventional camera while ensuring the same level of recognition accuracy.

引用

页数：2

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