A Notebook Sensory Data Set for Context Recognition

TitleA Notebook Sensory Data Set for Context Recognition
Publication TypeBook Chapter
Year of Publication2004
AuthorsRadi, H., Mayrhofer R., & Ferscha A.
EditorJunker, H.., Lukowicz P.., & Mäntyjarvi J..
Book TitleProceedings of the Benchmarks and a Database for Context Recognition Workshop
Pagination17–19
PublisherETH Zurich
ISBN Number3-9522686-2-3
Abstract

For a qualitative and quantitative assessment of context prediction and recognition methods, real-world data sets are inevitable. By collecting sensor data on a single notebook over a period of a few months we got a rather large log file of homogeneous and heterogeneous features reflecting the users activities during this time frame. In this paper we present which devices were exploited as sensors, which information was logged and how this information was stored for further processing by classification algorithms.