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Hierarchical Multi-sensors Data Fusion for Enhanced Context Inference

원문정보

초록

영어

Dempster-Shafer Evidence Theory can infer the context only with some native sensed signals but its number of assumptions is limited, compared to the number of evidence. In this research, we proposed a method that can increase the number of sensors collecting symptoms for more dynamic contextual inference yet with reduced calculation load increase. This is possible by clustering sensors with relevance to a situation and fusing data hierarchically.

목차

Abstract
 1. Introduction
 2. Related Research
 3. Data Fusion with Reduced Calculation for Contextual Inference
 4. An Experiment and Evaluation
 5. Conclusion
 References

저자정보

  • Jeongbong You Department of Electrical Engineering, Kongju National University

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