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2013 Master's Level Graduate Research Conference

Session I - Session II - Session III

Evaluation of a Wearable Open Source Sensor Technology for Spatiotemporally Referenced Data Acquisition

Geographic Information Science is advancing to incorporate a temporal layer for data interpretation, analysis, and real-time monitoring of geographic information. The aim of this project is to construct and test a device, using open source hardware and software, to track geographic locations and associated attributes. The goal is to enable individual-level monitoring of the natural and built environment. Arduino is an open source electronic platform that is easy to use, engineer, and program. It is able to sense different environmental attributes through the use of programmable sensors. These attributes include heart rate, noise, motion, barometric pressure, temperature, humidity, and altitude. A feasibility study (in progress) is being conducted to assess the reliability and accuracy of Arduino as a tool for tracking time, location and attributes. Two prototypes are being evaluated. The walkability-health platform is a device that will measure the health benefits of walking, while recording data on other stress/health related variables. The atmosphere-mobile device will measure various meteorological parameters, which can provide baseline data for studies on climate change on a local scale. The presentation will reflect current progress, results, and future directions.

Presenters: Erin Cavagnaro (University at Buffalo) --
Jingran Guo (University at Buffalo) --
Megan LeBarron (University at Buffalo) --
Aaron Lee (University at Buffalo) --
Michael Rienti (University at Buffalo) --
Jin Zhang (University at Buffalo) --
Topic: Mixed Panel
Location: 101 Edwards
Time: 2:15 pm (Session III)