Marker Tracking and HMD Calibration for a Video-Based Augmented Reality Conferencing System
IWAR '99 Proceedings of the 2nd IEEE and ACM International Workshop on Augmented Reality
Use your head: exploring face tracking for mobile interaction
CHI '06 Extended Abstracts on Human Factors in Computing Systems
Camera phone based motion sensing: interaction techniques, applications and performance study
UIST '06 Proceedings of the 19th annual ACM symposium on User interface software and technology
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The user interfaces on current-day mobile devices are limited owing to their small form factor. In this paper, we propose intuitive user interfaces for two applications on mobile phones with built-in cameras, namely, a car-racing game and a map navigation application. These user interfaces are based on the visual detection of the device's self-motion. We discuss three different methodologies to implement same and conduct user studies to analyze people's acceptance of the interfaces in comparison to controlling the applications with keys on the phone. Results show that our proposed interfaces are well appreciated for their intuitiveness, even though there is a learning curve.