A Notebook Sensory Data Set for Context Recognition

Harald Radi, Rene Mayrhofer, Alois Ferscha

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitrag

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.
OriginalspracheEnglisch
TitelProceedings of 2nd International Conference on Pervasive Computing (Pervasive 2004)
Seiten17-19
PublikationsstatusVeröffentlicht - 2004
Veranstaltung2nd International Conference on Pervasive Computing (Pervasive 2004) - Linz/Wien, Österreich
Dauer: 18 Apr 200423 Apr 2004
http://www.pervasive2004.org/program_w5.php

Konferenz

Konferenz2nd International Conference on Pervasive Computing (Pervasive 2004)
Land/GebietÖsterreich
OrtLinz/Wien
Zeitraum18.04.200423.04.2004
Internetadresse

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