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Archiving Nature's Heartbeat Using Smartphones
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Author(s): Jinglan Zhang (Queensland University of Technology, Australia), Paul Roe (Queensland University of Technology, Australia), Binh Pham (Queensland University of Technology, Australia), Richard Mason (Queensland University of Technology, Australia), Michael Towsey (Queensland University of Technology, Australia)and Jiro Sumitomo (Queensland University of Technology, Australia)
Copyright: 2010
Pages: 19
Source title:
Movement-Aware Applications for Sustainable Mobility: Technologies and Approaches
Source Author(s)/Editor(s): Monica Wachowicz (Wageningen University of Research Centre for Geo-Information, The Netherlands)
DOI: 10.4018/978-1-61520-769-5.ch008
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Abstract
The impact of urban development and climate change has created the impetus to monitor changes in the environment, particularly, the behaviour, habitat and movement of fauna species. The aim of this chapter is to present the design and development of a sensor network based on Smartphones to automatically collect and analyse acoustic and visual data for environmental monitoring purposes. Due to the communication and sophisticated programming facilities offered by Smartphones, software tools can be developed to allow data to be collected, partially processed and sent to a remote server over the network for storage and further processing. This sensor network which employs a client-server architecture has been deployed in three applications: monitoring a rare bird species near Brisbane Airport, study of koalas behaviour at St Bees Island, and detection of fruit flies. The users of this system include scientists (e.g. ecologists, ornithologists, computer scientists) and community groups participating in data collection or reporting on the environment (e.g. students, bird watchers). The chapter focuses on the following aspects of our research: issues involved in using Smartphones as sensors; the overall framework for data acquisition, data quality control, data management and analysis; current and future applications of the Smartphone-based sensor network, and our future research directions.
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