Camera-Based Selection with Cardboard HMDs

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PubDate: August 2019

Teams: Carleton University

Writers: Siqi Luo; Robert J. Teather

PDF: Camera-Based Selection with Cardboard HMDs

Abstract

We present a study of selection techniques for low-cost mobile VR devices, such as Google Cardboard, using the outward facing camera on modern smartphones. We compared three selection techniques, air touch, head ray, and finger ray. Initial evaluation indicates that hand-based selection (air touch) was the worst. A ray cast using the tracked finger position offered much higher selection performance. Our results suggest that camera-based mobile tracking is feasible with ray-based techniques.

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