TY - JOUR
T1 - SCHAS
T2 - 14th International on Symposium on Spatial and Temporal Databases, SSTD 2015
AU - Alkobaisi, Shayma
AU - Bae, Wan D.
AU - Narayanappa, Sada
N1 - Funding Information:
S. Alkobaisi and W.D. Bae—This material is based upon works supported in part by the Information and Communication Technology Fund of United Arab Emirates under award number 21T042 and in part by the National Science Foundation under award number CNIC-1338378.
Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - 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.
AB - 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.
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U2 - 10.1007/978-3-319-22363-6_27
DO - 10.1007/978-3-319-22363-6_27
M3 - Conference article
AN - SCOPUS:84984602169
SN - 0302-9743
VL - 9239
SP - 484
EP - 490
JO - Lecture Notes in Computer Science
JF - Lecture Notes in Computer Science
Y2 - 26 August 2015 through 28 August 2015
ER -