Optical Touch Sensing on Non-Parametric Rear-Projection Surfaces
PubDate: August 2018
Teams: University of Central Florida
Writers: Jason Hochreiter
The field of augmented reality (AR) has introduced many novel input and output approaches for human-computer interaction. As touching physical objects with the fingers or hands is both natural and intuitive, touch-based graphical interfaces are ubiquitous, but many such interfaces are limited to flat screens or simple objects. We propose an optical method for multi-touch detection and response on non-parametric surfaces with dynamic rear-projected imagery, which we demonstrate on two head-shaped surfaces. We are interested in exploring the advantages of this approach over two-dimensional touch input displays, particularly in healthcare training scenarios.