Decision making strategies for mobile collaborative context recognition

Ville Könönen; Jani Mäntyjärvi

doi:10.4108/ICST.MOBIMEDIA2008.3982

Decision making strategies for mobile collaborative context recognition

Ville Könönen, Jani Mäntyjärvi

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific

2 Citations (Scopus)

Abstract

This paper focuses to a problem domain where several imperfect context recognition devices with restricted resources are located in the same context. The main aim of the paper is to compare different collaborative decision making methods in this domain. In particular, the focus is on certain voting mechanisms and confidence evaluation metrics. Also computational, space, and communication requirements of the discussed methods are discussed briefly. The methods are tested with a real-world dataset containing data from several sport activities. In addition, an online context recognition platform that is capable to make distributed context recognition decisions is introduced briefly.

Original language	English
Title of host publication	Proceedings of 4th International Mobile Multimedia Communications Conference
Editors	Jyrki Huusko, Tapio Fräntti
DOIs	https://doi.org/10.4108/ICST.MOBIMEDIA2008.3982
Publication status	Published - 2008
MoE publication type	B3 Non-refereed article in conference proceedings
Event	4th International Mobile Multimedia Communications Conference - Oulu, Finland Duration: 7 Jul 2008 → 9 Jul 2008 Conference number: 4

Conference

Conference	4th International Mobile Multimedia Communications Conference
Country/Territory	Finland
City	Oulu
Period	7/07/08 → 9/07/08

Keywords

Context recognition
mobile devices
pattern classification
distributed decision making
voting

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.4108/ICST.MOBIMEDIA2008.3982

Cite this

@inproceedings{4400fccf626646e4972c9265a04b85bb,

title = "Decision making strategies for mobile collaborative context recognition",

abstract = "This paper focuses to a problem domain where several imperfect context recognition devices with restricted resources are located in the same context. The main aim of the paper is to compare different collaborative decision making methods in this domain. In particular, the focus is on certain voting mechanisms and confidence evaluation metrics. Also computational, space, and communication requirements of the discussed methods are discussed briefly. The methods are tested with a real-world dataset containing data from several sport activities. In addition, an online context recognition platform that is capable to make distributed context recognition decisions is introduced briefly.",

keywords = "Context recognition, mobile devices, pattern classification, distributed decision making, voting",

author = "Ville K{\"o}n{\"o}nen and Jani M{\"a}ntyj{\"a}rvi",

note = "Project code: 21578; 4th International Mobile Multimedia Communications Conference ; Conference date: 07-07-2008 Through 09-07-2008",

year = "2008",

doi = "10.4108/ICST.MOBIMEDIA2008.3982",

language = "English",

isbn = "978-963-9799-25-7",

editor = "Jyrki Huusko and Tapio Fr{\"a}ntti",

booktitle = "Proceedings of 4th International Mobile Multimedia Communications Conference",

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TY - GEN

T1 - Decision making strategies for mobile collaborative context recognition

AU - Könönen, Ville

AU - Mäntyjärvi, Jani

N1 - Conference code: 4

PY - 2008

Y1 - 2008

N2 - This paper focuses to a problem domain where several imperfect context recognition devices with restricted resources are located in the same context. The main aim of the paper is to compare different collaborative decision making methods in this domain. In particular, the focus is on certain voting mechanisms and confidence evaluation metrics. Also computational, space, and communication requirements of the discussed methods are discussed briefly. The methods are tested with a real-world dataset containing data from several sport activities. In addition, an online context recognition platform that is capable to make distributed context recognition decisions is introduced briefly.

AB - This paper focuses to a problem domain where several imperfect context recognition devices with restricted resources are located in the same context. The main aim of the paper is to compare different collaborative decision making methods in this domain. In particular, the focus is on certain voting mechanisms and confidence evaluation metrics. Also computational, space, and communication requirements of the discussed methods are discussed briefly. The methods are tested with a real-world dataset containing data from several sport activities. In addition, an online context recognition platform that is capable to make distributed context recognition decisions is introduced briefly.

KW - Context recognition

KW - mobile devices

KW - pattern classification

KW - distributed decision making

KW - voting

U2 - 10.4108/ICST.MOBIMEDIA2008.3982

DO - 10.4108/ICST.MOBIMEDIA2008.3982

M3 - Conference article in proceedings

SN - 978-963-9799-25-7

BT - Proceedings of 4th International Mobile Multimedia Communications Conference

A2 - Huusko, Jyrki

A2 - Fräntti, Tapio

T2 - 4th International Mobile Multimedia Communications Conference

Y2 - 7 July 2008 through 9 July 2008

ER -

Decision making strategies for mobile collaborative context recognition

Abstract

Conference

Keywords

UN SDGs

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