A Notebook Sensory Data Set for Context Recognition

Harald Radi; Rene Mayrhofer; Alois Ferscha

A Notebook Sensory Data Set for Context Recognition

Harald Radi, Rene Mayrhofer, Alois Ferscha

Research Center Hagenberg

Research output: Chapter in Book/Report/Conference proceedings › Conference 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 language	English
Title of host publication	Proceedings of 2nd International Conference on Pervasive Computing (Pervasive 2004)
Pages	17-19
Publication status	Published - 2004
Event	2nd International Conference on Pervasive Computing (Pervasive 2004) - Linz/Wien, Austria Duration: 18 Apr 2004 → 23 Apr 2004 http://www.pervasive2004.org/program_w5.php

Conference

Conference	2nd International Conference on Pervasive Computing (Pervasive 2004)
Country/Territory	Austria
City	Linz/Wien
Period	18.04.2004 → 23.04.2004
Internet address	http://www.pervasive2004.org/program_w5.php

Cite this

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title = "A Notebook Sensory Data Set for Context Recognition",

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.",

author = "Harald Radi and Rene Mayrhofer and Alois Ferscha",

year = "2004",

language = "English",

isbn = "3-9522686-2-3",

pages = "17--19",

booktitle = "Proceedings of 2nd International Conference on Pervasive Computing (Pervasive 2004)",

note = "2nd International Conference on Pervasive Computing (Pervasive 2004) ; Conference date: 18-04-2004 Through 23-04-2004",

url = "http://www.pervasive2004.org/program_w5.php",

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TY - GEN

T1 - A Notebook Sensory Data Set for Context Recognition

AU - Radi, Harald

AU - Mayrhofer, Rene

AU - Ferscha, Alois

PY - 2004

Y1 - 2004

N2 - 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.

AB - 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.

UR - http://www.mayrhofer.eu.org/downloads/publications/Pervasive2004-Workshop-Context-Dataset.pdf

M3 - Conference contribution

SN - 3-9522686-2-3

SP - 17

EP - 19

BT - Proceedings of 2nd International Conference on Pervasive Computing (Pervasive 2004)

T2 - 2nd International Conference on Pervasive Computing (Pervasive 2004)

Y2 - 18 April 2004 through 23 April 2004

ER -

A Notebook Sensory Data Set for Context Recognition

Abstract

Conference

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