MobGeoSen: facilitating personal geosensor data collection and visualization using mobile phones

E Kanjo, S Benford, M Paxton, A Chamberlain, D Stanton Fraser, D Woodgate, D Crellin, A Woolard

Research output: Contribution to journalArticle

58 Citations (Scopus)

Abstract

Mobile sensing and mapping applications are becoming more prevalent because sensing hardware is becoming more portable and more affordable. However, most of the hardware uses small numbers of fixed sensors that report and share multiple sets of environmental data which raises privacy concerns. Instead, these systems can be decentralized and managed by individuals in their public and private spaces. This paper describes a robust system called MobGeoSens which enables individuals to monitor their local environment (e.g. pollution and temperature) and their private spaces (e.g. activities and health) by using mobile phones in their day to day life. The MobGeoSen is a combination of software components that facilitates the phone's internal sensing devices (e.g. microphone and camera) and external wireless sensors (e.g. data loggers and GPS receivers) for data collection. It also adds a new dimension of spatial localization to the data collection process and provides the user with both textual and spatial cartographic displays. While collecting the data, individuals can interactively add annotations and photos which are automatically added and integrated in the visualization file/log. This makes it easy to visualize the data, photos and annotations on a spatial and temporal visualization tool. In addition, the paper will present ways in which mobile phones can be used as noise sensors using an on-device microphone. Finally, we present our experiences with school children using the above mentioned system to measure their exposure to environmental pollution.
Original languageEnglish
Pages (from-to)599-607
Number of pages9
JournalPersonal and Ubiquitous Computing
Volume12
Issue number8
Early online date8 Aug 2007
DOIs
Publication statusPublished - 1 Nov 2008

Keywords

  • Environmental monitoring
  • mobile computing
  • GPS positioning

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