Sensor Fusion for Context Understanding - Robotics Institute Carnegie Mellon University

Sensor Fusion for Context Understanding

Huadong Wu, Mel Siegel, and Sevim Ablay
Conference Paper, Proceedings of 19th IEEE Instrumentation and Measurement Technology Conference (IMTC '02), Vol. 1, pp. 13 - 17, May, 2002

Abstract

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.

BibTeX

@conference{Wu-2002-8450,
author = {Huadong Wu and Mel Siegel and Sevim Ablay},
title = {Sensor Fusion for Context Understanding},
booktitle = {Proceedings of 19th IEEE Instrumentation and Measurement Technology Conference (IMTC '02)},
year = {2002},
month = {May},
volume = {1},
pages = {13 - 17},
keywords = {sensor fusion, context-aware, system architecture, context sensing},
}