VRPN: a device-independent, network-transparent VR peripheral system
VRST '01 Proceedings of the ACM symposium on Virtual reality software and technology
Inertial Head-Tracker Sensor Fusion by a Complimentary Separate-Bias Kalman Filter
VRAIS '96 Proceedings of the 1996 Virtual Reality Annual International Symposium (VRAIS 96)
An Introduction to the Kalman Filter
An Introduction to the Kalman Filter
The openinterface framework: a tool for multimodal interaction.
CHI '08 Extended Abstracts on Human Factors in Computing Systems
Automatic Configuration of Pervasive Sensor Networks for Augmented Reality
IEEE Pervasive Computing
Hearing is believing: evaluating ambient audio for location-based games
Proceedings of the 8th International Conference on Advances in Computer Entertainment Technology
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Development of Augmented Reality (AR) applications can be time consuming due to the effort required in accessing sensors for location and orientation tracking data. In this pa- per, we introduce the TREC framework, designed to handle sensor input and make AR development easier. It does this in three ways. First, TREC generates a high-level abstraction of user location and orientation, so that low-level sensor data need not be seen directly. TREC also automatically uses the best available sensors and fusion algorithms so that complex configuration is unnecessary. Finally, TREC enables exten- sions of the framework to add support for new devices or customized sensor fusion algorithms.