Collaborative context recognition for handheld devices

Jani Mäntyjärvi, Johan Himberg, Pertti Huuskonen

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

20 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 languageEnglish
Title of host publicationFirst IEEE International Conference on Pervasive Computing and Communications (PerCom'03). Fort Worth, Texas, USA, 23 - 26 March, 2003
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages161-168
ISBN (Print)0-7695-1893-1
DOIs
Publication statusPublished - 2003
MoE publication typeA4 Article in a conference publication
EventFirst IEEE International Conference on Pervasive Computing and Communications, PerCom'03 - Fort Worth, United States
Duration: 23 Mar 200326 Mar 2003

Conference

ConferenceFirst IEEE International Conference on Pervasive Computing and Communications, PerCom'03
CountryUnited States
CityFort Worth
Period23/03/0326/03/03

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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 (pp. 161-168). IEEE Institute of Electrical and Electronic Engineers . https://doi.org/10.1109/PERCOM.2003.1192738
Mäntyjärvi, Jani ; Himberg, Johan ; Huuskonen, Pertti. / Collaborative context recognition for handheld devices. 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. pp. 161-168
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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, 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 proceedingConference article in proceedingsScientificpeer-review

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T1 - Collaborative context recognition for handheld devices

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AU - Himberg, Johan

AU - Huuskonen, Pertti

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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.

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DO - 10.1109/PERCOM.2003.1192738

M3 - Conference article in proceedings

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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

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Mäntyjärvi J, Himberg J, Huuskonen P. 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 . 2003. p. 161-168 https://doi.org/10.1109/PERCOM.2003.1192738