SCHAS: A visual evaluation framework for mobile data analysis of individual exposure to environmental risk factors

Shayma Alkobaisi, Wan D. Bae, Sada Narayanappa

Research output: Contribution to journalConference articlepeer-review

2 Citations (Scopus)


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 individuallevel 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.

Original languageEnglish
Pages (from-to)484-490
Number of pages7
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publication statusPublished - 2015
Event14th International on Symposium on Spatial and Temporal Databases, SSTD 2015 - Hong Kong, China
Duration: Aug 26 2015Aug 28 2015

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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