Sensing Technologies for Societal Well-Being: A Needs Analysis

Sensing Technologies for Societal Well-Being: A Needs Analysis

Elizabeth Avery Gomez (New Jersey Institute of Technology, USA)
DOI: 10.4018/jitn.2011040106
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Sensing technologies by design are calibrated for accuracy against an expected measurement scale. Sensor calibration and signal processing criteria are one type of sensor data, while the sensor readings are another. Ensuring data accuracy and precision from sensors is an essential, ongoing challenge, but these issues haven’t stopped the potential for pervasive application use. Technological advances afford an opportunity for sensor data integration as a vehicle for societal well-being and the focus of ongoing research. A lean and flexible architecture is needed to acquire sensor data for societal well-being. As such, this research places emphasis on the acquisition of environmental sensor data through lean application programming protocols (APIs) through services such as SMS, where scant literature is presented. The contribution of this research is to advance the research that integrates sensor data with pervasive applications.
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Public health, as it is known in the United States, centers on preventing disease, prolonging life, and promoting physical and mental health through organized community efforts (Gomez, 2008; IOM, 2003). The public health sector aims to prepare and protect the lives of an individual, family or group against a health-related event. These efforts span governmental, nongovernmental, and private sectors. Protecting lives against health-related events in a crisis depends on environmental factors. The increase in recent natural disasters, such as Alabama (2011 tornado), Japan (2011 earthquake, tsunami, nuclear), Pakistan (2010 floods), and Haiti (2010 earthquake) highlight the role environmental factors play when protecting lives. These same events have witnessed rapid response through the use of mobile technologies with primary emphasis on SMS data services.

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