Developing a virtual environment for better sensory perception

In sensor networks different types of sensors are used to capture events, recognize contexts, derive states of objects or monitor processes within application scenarios. We envision the use of the presented technology in areas that are very complex, e.g. in industrial applications. The presented system uses sensor information from wireless sensor nodes that are forwarded and aggregated in an information processing system. The high density of both number of sensors and overall sensor readings leads to an information overload situation, where it is difficult for a human to perceive detailed information using text based information input. We propose the use of a virtual environment - SensorRAUM - for improved sensory perception.