A lightweight and efficient system for tracking handheld objects in virtual reality

Ya Kuei Chang, Jui Wei Huang, Chien Hua Chen, Chien Wen Chen, Jian Wei Peng, Min-Chun Hu, Chih Yuan Yao, Hung Kuo Chu

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

While the content of virtual reality (VR) has grown explosively in recent years, the advance of designing user-friendly control interfaces in VR still remains a slow pace. The most commonly used device, such as gamepad or controller, has fixed shape and weight, and thus can not provide realistic haptic feedback when interacting with virtual objects in VR. In this work, we present a novel and lightweight tracking system in the context of manipulating handheld objects in VR. Specifically, our system can effortlessly synchronize the 3D pose of arbitrary handheld objects between the real world and VR in realtime performance. The tracking algorithm is simple, which delicately leverages the power of Leap Motion and IMU sensor to respectively track object’s location and orientation. We demonstrate the effectiveness of our system with three VR applications use pencil, ping-pong paddle, and smartphone as control interfaces to provide users more immersive VR experience.

原文English
主出版物標題Proceedings - VRST 2018
主出版物子標題24th ACM Symposium on Virtual Reality Software and Technology
編輯Stephen N. Spencer
發行者Association for Computing Machinery
ISBN(電子)9781450360869
DOIs
出版狀態Published - 2018 十一月 28
事件24th ACM Symposium on Virtual Reality Software and Technology, VRST 2018 - Tokyo, Japan
持續時間: 2018 十一月 282018 十二月 1

出版系列

名字Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST

Other

Other24th ACM Symposium on Virtual Reality Software and Technology, VRST 2018
國家Japan
城市Tokyo
期間18-11-2818-12-01

All Science Journal Classification (ASJC) codes

  • Software

指紋 深入研究「A lightweight and efficient system for tracking handheld objects in virtual reality」主題。共同形成了獨特的指紋。

引用此