Exploiting multiple radii to learn significant locations

Norio Toyama, Takashi Ota, Fumihiro Kato, Youichi Toyota, Takashi Hattori, Tatsuya Hagino

Research output: Contribution to journalConference article

7 Citations (Scopus)

Abstract

Location contexts are important for many context-aware applications. A significant location is a specialized form of location context for expressing a user's daily activity. We propose a method to cluster positions measured by cellular phones into significant locations with multiple radii. Cellular phones we used are equipped with a positioning system, where data can be taken in low frequency with wide-varying estimated errors. In order to learn significant locations, our system exploits multiple radii for coping with these characteristics and for adapting to a variety of users' spatial behavioral patterns. We also discuss appropriate parameters for our clustering method.

Original languageEnglish
Pages (from-to)157-168
Number of pages12
JournalLecture Notes in Computer Science
Volume3479
DOIs
Publication statusPublished - 2005
EventFirst International Workshop on Location- and Context-Awareness, LoCA 2005 - Oberpfaffenhofen, Germany
Duration: 2005 May 122005 May 13

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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