Collaborative context recognition for handheld devices

Jani Mäntyjärvi; Johan Himberg; Pertti Huuskonen

doi:10.1109/PERCOM.2003.1192738

Collaborative context recognition for handheld devices

Jani Mäntyjärvi, Johan Himberg, Pertti Huuskonen

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

23 Citations (Scopus)

Abstract

Handheld communication devices equipped with sensing capabilities can recognize some aspects of their context to enable novel applications. We seek to improve the reliability of context recognition through an analogy to human behavior. Where multiple devices are around, they can jointly negotiate on a suitable context and behave accordingly. We have developed a method for this collaborative context recognition for handheld devices. The method determines the need to request and collaboratively recognize the current context of a group of handheld devices. It uses both local context time history information and spatial context information of handheld devices within a certain area. The method exploits dynamic weight parameters that describe content and reliability of context information. The performance of the method is analyzed using artificial and real context data. The results suggest that the method is capable of improving the reliability of context information.

Original language	English
Title of host publication	First IEEE International Conference on Pervasive Computing and Communications (PerCom'03). Fort Worth, Texas, USA, 23 - 26 March, 2003
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	161-168
ISBN (Print)	0-7695-1893-1
DOIs	https://doi.org/10.1109/PERCOM.2003.1192738
Publication status	Published - 2003
MoE publication type	A4 Article in a conference publication
Event	First IEEE International Conference on Pervasive Computing and Communications, PerCom'03 - Fort Worth, United States Duration: 23 Mar 2003 → 26 Mar 2003

Conference

Conference	First IEEE International Conference on Pervasive Computing and Communications, PerCom'03
Country/Territory	United States
City	Fort Worth
Period	23/03/03 → 26/03/03

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10.1109/PERCOM.2003.1192738

Cite this

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title = "Collaborative context recognition for handheld devices",

abstract = "Handheld communication devices equipped with sensing capabilities can recognize some aspects of their context to enable novel applications. We seek to improve the reliability of context recognition through an analogy to human behavior. Where multiple devices are around, they can jointly negotiate on a suitable context and behave accordingly. We have developed a method for this collaborative context recognition for handheld devices. The method determines the need to request and collaboratively recognize the current context of a group of handheld devices. It uses both local context time history information and spatial context information of handheld devices within a certain area. The method exploits dynamic weight parameters that describe content and reliability of context information. The performance of the method is analyzed using artificial and real context data. The results suggest that the method is capable of improving the reliability of context information.",

author = "Jani M{\"a}ntyj{\"a}rvi and Johan Himberg and Pertti Huuskonen",

year = "2003",

doi = "10.1109/PERCOM.2003.1192738",

language = "English",

isbn = "0-7695-1893-1",

pages = "161--168",

booktitle = "First IEEE International Conference on Pervasive Computing and Communications (PerCom'03). Fort Worth, Texas, USA, 23 - 26 March, 2003",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

address = "United States",

note = "First IEEE International Conference on Pervasive Computing and Communications, PerCom'03 ; Conference date: 23-03-2003 Through 26-03-2003",

}

Mäntyjärvi, J, Himberg, J & Huuskonen, P 2003, Collaborative context recognition for handheld devices. in First IEEE International Conference on Pervasive Computing and Communications (PerCom'03). Fort Worth, Texas, USA, 23 - 26 March, 2003. IEEE Institute of Electrical and Electronic Engineers, pp. 161-168, First IEEE International Conference on Pervasive Computing and Communications, PerCom'03, Fort Worth, Texas, United States, 23/03/03. https://doi.org/10.1109/PERCOM.2003.1192738

Collaborative context recognition for handheld devices. / Mäntyjärvi, Jani; Himberg, Johan; Huuskonen, Pertti.
First IEEE International Conference on Pervasive Computing and Communications (PerCom'03). Fort Worth, Texas, USA, 23 - 26 March, 2003. IEEE Institute of Electrical and Electronic Engineers, 2003. p. 161-168.

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

TY - GEN

T1 - Collaborative context recognition for handheld devices

AU - Mäntyjärvi, Jani

AU - Himberg, Johan

AU - Huuskonen, Pertti

PY - 2003

Y1 - 2003

N2 - Handheld communication devices equipped with sensing capabilities can recognize some aspects of their context to enable novel applications. We seek to improve the reliability of context recognition through an analogy to human behavior. Where multiple devices are around, they can jointly negotiate on a suitable context and behave accordingly. We have developed a method for this collaborative context recognition for handheld devices. The method determines the need to request and collaboratively recognize the current context of a group of handheld devices. It uses both local context time history information and spatial context information of handheld devices within a certain area. The method exploits dynamic weight parameters that describe content and reliability of context information. The performance of the method is analyzed using artificial and real context data. The results suggest that the method is capable of improving the reliability of context information.

AB - Handheld communication devices equipped with sensing capabilities can recognize some aspects of their context to enable novel applications. We seek to improve the reliability of context recognition through an analogy to human behavior. Where multiple devices are around, they can jointly negotiate on a suitable context and behave accordingly. We have developed a method for this collaborative context recognition for handheld devices. The method determines the need to request and collaboratively recognize the current context of a group of handheld devices. It uses both local context time history information and spatial context information of handheld devices within a certain area. The method exploits dynamic weight parameters that describe content and reliability of context information. The performance of the method is analyzed using artificial and real context data. The results suggest that the method is capable of improving the reliability of context information.

U2 - 10.1109/PERCOM.2003.1192738

DO - 10.1109/PERCOM.2003.1192738

M3 - Conference article in proceedings

SN - 0-7695-1893-1

SP - 161

EP - 168

BT - First IEEE International Conference on Pervasive Computing and Communications (PerCom'03). Fort Worth, Texas, USA, 23 - 26 March, 2003

PB - IEEE Institute of Electrical and Electronic Engineers

T2 - First IEEE International Conference on Pervasive Computing and Communications, PerCom'03

Y2 - 23 March 2003 through 26 March 2003

ER -

Collaborative context recognition for handheld devices

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