AwarePen - Classification Probability and Fuzziness in a Context Aware Application
UIC '08 Proceedings of the 5th international conference on Ubiquitous Intelligence and Computing
Quality-driven human-centered approach for service provisioning in ambient environment
HCC '08 Proceedings of the 3rd ACM international workshop on Human-centered computing
AmI '09 Proceedings of the European Conference on Ambient Intelligence
Bringing quality of context into wearable human activity recognition systems
QuaCon'09 Proceedings of the 1st international conference on Quality of context
Hi-index | 0.00 |
Many Ubicomp appliances require the recognition of context. Existing context systems do not provide information about the quality of the context recognizied to the appliance at runtime. In this paper we propose the first context quality system which gives quantitave measures, the Context Quality Measure (CQM), in real time. The CQM can be used by application to improve decision quality when interpreting context values. Our Fuzzy Inference System based approach considers the context detection algorithm as a black-box. It is therefore able to give generalized independet context quality measures and is applicable as an add-on to any context recognition system. A first practical implementation shows a gain of 33% in context detection quality in tested application scenarios.