Physics-Inspired Input Method for Near-Field Mixed Reality Applications Using Latent Active Correction

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PubDate: August 2018

Teams: Beijing Institute of Technoloqy;Advanced Innovation Center for Future Visual Entertainment

Writers: Zhenliang Zhang; Yue Li; Dongdong Weng; Vue Liu; Yongtian Wang

PDF: Physics-Inspired Input Method for Near-Field Mixed Reality Applications Using Latent Active Correction

Abstract

Calibration accuracy is one of the most important factors to affect the user experience in mixed reality applications. For a typical mixed reality system built with the optical see-through head-mounted display (OST-HMD), a key problem is how to guarantee the accuracy of hand-eye coordination by decreasing the instability of the eye and the HMD in long-term use. In this paper, we propose a real-time latent active correction (LAC) algorithm to decrease hand-eye calibration errors accumulated over time. Experimental results show that we can successfully use the LAC algorithm to physics-inspired virtual input methods.

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