ID CAM: A Smart Camera for Scene Capturing and ID Recognition
ISMAR '03 Proceedings of the 2nd IEEE/ACM International Symposium on Mixed and Augmented Reality
First Steps Towards Handheld Augmented Reality
ISWC '03 Proceedings of the 7th IEEE International Symposium on Wearable Computers
Real-Time Markerless Tracking for Augmented Reality: The Virtual Visual Servoing Framework
IEEE Transactions on Visualization and Computer Graphics
High-Performance Wide-Area Optical Tracking: The HiBall Tracking System
Presence: Teleoperators and Virtual Environments
Computer Networks
Proceedings of the 10th international conference on Mobile systems, applications, and services
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Our research group has developed electronic triage tags for measuring vital signs of patients at critical accidents or disaster sites. Although they have wireless networking facilities to transmit the data to a remote server, it is helpful for doctors at the sites to display the vital signs on their visions by augmented reality. For this purpose, we need recognize identification numbers (IDs) of those tags in doctor's vision to obtain the vital signs of the patients from the remote server. In this paper, we propose image sensor communication for ID recognition using embedded cameras in commercial off-the-shelf mobile devices. An LED is attached to a patient and controlled to send the patient ID by blinking patterns. In order for avoiding bit losses and errors due to jitter and capture delays, we derive a necessary and sufficient condition for image capturing intervals. Moreover, we have designed an image sensor communication system using Manchester code for robustness in terms of clock drift. Through experiments using a prototype, we have confirmed the proposed system can recognize more than 94% of 8 bit IDs in 4.5 seconds on average.