Multi-sensor Data Fusion Using the Influence Model

Authors:
Wen Dong;Alex Pentland
Affiliations:
MIT Media Laboratory;MIT Media Laboratory
Venue:
BSN '06 Proceedings of the International Workshop on Wearable and Implantable Body Sensor Networks
Year:
2006

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Abstract

System robustness against individual sensor failures is an important concern in multi-sensor networks. Unfortunately, the complexity of using the remaining sensors to interpolate missing sensor data grows exponentially due to the "curse of dimensionality". In this paper we demonstrate that the influence model, our novel formulation for combining evidence from multiple interactive dynamic processes, can efficiently interpolate missing data and can achieve greater accuracy by modeling the structure of multi-sensor interaction.