Date of Original Version
Abstract or Description
To answer the challenge of context-understanding for HCI, we propose and test experimentally a top-down sensor fusion approach. We seek to systematize the sensing process in two steps: first, decompose relevant context information in such a way that it can be described in a model of discrete facts and quantitative measurements; second, we build a generalizable sensor fusion architecture to deal with highly distributed sensors in a dynamic configuration to collect, fuse and populate our context information model. This paper describes our information model, system architecture, and preliminary experimental results.
Proceedings of IEEE Instrumentation and Measurement Technology Conference.