A Notebook Sensory Data Set for Context Recognition

Harald Radi, Rene Mayrhofer, Alois Ferscha

Research output: Chapter in Book/Report/Conference proceedingsConference contribution

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.
Original languageEnglish
Title of host publicationProceedings of 2nd International Conference on Pervasive Computing (Pervasive 2004)
Pages17-19
Publication statusPublished - 2004
Event2nd International Conference on Pervasive Computing (Pervasive 2004) - Linz/Wien, Austria
Duration: 18 Apr 200423 Apr 2004
http://www.pervasive2004.org/program_w5.php

Conference

Conference2nd International Conference on Pervasive Computing (Pervasive 2004)
CountryAustria
CityLinz/Wien
Period18.04.200423.04.2004
Internet address

Fingerprint Dive into the research topics of 'A Notebook Sensory Data Set for Context Recognition'. Together they form a unique fingerprint.

Cite this