Spatialized Anonymous Audio for Browsing Sensor Networks Via Virtual Worlds

Nicholas Joliat, Brian Mayton, Joseph A. Paradiso


We explore new ways to communicate sensor data by combining spatialized sonification with animated data visualization in a 3D virtual environment. A system is designed and implemented that implies a sense of anonymized presence in an instrumented building by manipulating navigable live and recorded spatial audio streams. Exploration of both real-time and archived data is enabled. In particular, algorithms for obfuscating audio to protect privacy and for time-compressing audio to allow exploration on diverse time scales are implemented. Synthesized sonification of diverse, distributed sensor data in this context is also supported within our framework.

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