A wireless sensor network For structural monitoring
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
A Phone-Centered Body Sensor Network Platform: Cost, Energy Efficiency & User Interface
BSN '06 Proceedings of the International Workshop on Wearable and Implantable Body Sensor Networks
Underground structure monitoring with wireless sensor networks
Proceedings of the 6th international conference on Information processing in sensor networks
iStuff mobile: rapidly prototyping new mobile phone interfaces for ubiquitous computing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Real-time deployment of multihop relays for range extension
Proceedings of the 5th international conference on Mobile systems, applications and services
A wireless sensor network for structural health monitoring: performance and experience
EmNets '05 Proceedings of the 2nd IEEE workshop on Embedded Networked Sensors
Augmented reality visualization interface for biometric wireless sensor networks
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
Semantic visualization of wireless sensor networks for elderly monitoring
AmI'10 Proceedings of the First international joint conference on Ambient intelligence
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Research on structural health monitoring (SHM) is gaining importance recently due to increase in industrial accidents at construction sites. Wireless sensor networks (WSN) are considered as the promising advanced SHM technology to provide real time site applications using SHM. In this paper, we propose the WIVA (WSN Monitoring Framework based on 3D Visualization and Augmented Reality in Mobile Devices) architecture. The proposed architecture applies 3D visualization and AR technology to camera enabled mobile devices in order to provide real time information to users. Moreover, we performed an experiment to validate the effectiveness of 3D and AR mode based WIVA architecture in IEEE 802.15.4-based WSN. In a real implementation scenario, we demonstrated a fire detection test in a 3-story building miniature.