November 5th, 2012  |  Published in Research

In sensor networks, different types of sensors are used to capture events, recognize contexts, derive states of objects or monitor processes within application scenarios. The processes themselves are often very complex (e.g. in industrial applications) and a combination of sensor data from different sensor nodes is used to derive information regarding their states or properties. Sensor data is analyzed, aggregated, used for calculations and transformed to higher level contexts. The high density of sensor readings of a single sensor node and an increasing total number of deployed sensor nodes to sense complex events leads to a situation where the observation or analysis of sensor data is barely possible and the information is not directly perceivable.

SensorRAUM researches how to integrate and visualize sensor networks in virtual environments. The high density of sensor nodes respectively their sensors often lead to high cognitive load and prevent direct interaction with attached objects. The aim of SensorRAUM is to build 3D virtual environments for a better sensory perception which enable the interaction between real world and virtual world entities.




SAP, DUS, Particle Computer GmbH

Research Topics:

3D virtual environments, virtual world, virtual sensor reality, multi user dungeons, metaverses, reduction of cognitive load, presentability of sensor data

Application and economic dissemination:

Prototype of virtual platform for ubiquitous applications, demonstrator



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