BISCAY: Extracting riding context from bike ride data

Keiji Sugo, Manabu Miyazaki, Shin'ichi Konomi, Masayuki Iwai, Yoshito Tobe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Recently, global warming is a serious problem all over the world. Japan endeavors to promote using bicycles in order to protect environment. We developed a system for supporting cyclists by using the data from a bike sensor network. Cyclists lose comfort of riding when they need to go through crowded streets. We collect riding information obtained with a gyro sensor attached to handlebars of a bicycle. Based on such information, we then extract riding condition of cyclists. This paper presents the design and implementation of a Human Probe system that can collect and store sensor data to show comfortable cycling routes on a map.

Original languageEnglish
Title of host publicationDatabase Systems for Advanced Applications - 15th International Conference, DASFAA 2010, Proceedings
Pages408-411
Number of pages4
EditionPART 2
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event15th International Conference on Database Systems for Advanced Applications, DASFAA 2010 - Tsukuba, Japan
Duration: Apr 1 2010Apr 4 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume5982 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other15th International Conference on Database Systems for Advanced Applications, DASFAA 2010
Country/TerritoryJapan
CityTsukuba
Period4/1/104/4/10

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint

Dive into the research topics of 'BISCAY: Extracting riding context from bike ride data'. Together they form a unique fingerprint.

Cite this