SCHAS: A Visual Evaluation Framework for Mobile Data Analysis of Individual Exposure to Environmental Risk Factors

  • Shayma Alkobaisi
  • Wan D. BaeEmail author
  • Sada Narayanappa
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9239)


Exposure to environmental risk factors as well as weather conditions are known to have negative effects on health. Until recently, there was little a society could do for an individual at risk, other than provide general warnings when the concentration of pollutants or weather conditions deviate from the norm. Similarly, the assessment of individuals’ exposure over time has been confined to population and geographic averages, rather than individualized estimates. Recent advances in sensors and mobile technology have enabled real-time measurements of environmental variables and, at the same time, provided information about the spatio-temporal behavior of individuals. This can dramatically change the way health and wellness are assessed as well as how care and treatment are delivered. This paper presents a system framework called “Smart and Connected Health Alert System (SCHAS)” for individual-level environmental exposure in an attempt to better understand the relationships among exposures, symptoms and human health conditions. We demonstrate user interface, data acquisition and visual evaluation tools for large mobile sensor data analysis.


Mobile Device Mobile Sensor Individual Exposure Visual Analysis Tool Standard Module Approach 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Shayma Alkobaisi
    • 1
  • Wan D. Bae
    • 2
    Email author
  • Sada Narayanappa
    • 3
  1. 1.College of Information TechnologyUnited Arab Emirates UniversityAl AinUAE
  2. 2.Mathematics, Statistics and Computer ScienceUniversity of Wisconsin-StoutMenomonieUSA
  3. 3.MicrosoftNew YorkUSA

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