July 2017
Beginner to intermediate
912 pages
28h 8m
English
Content preview from Smart Cities
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Chapter 11Human Context Sensing in Smart Cities
Juhi Ranjan, Erin Griffiths and Kamin Whitehouse
University of Virginia, Charlottesville, USA
Objectives
- • To become familiar with the four main types of human context sensing
- • To become familiar with the applications and measurable parameters of each type of context
- • To become familiar with the technologies that support the measurement and sensing of different human contexts
- • To become familiar with the strengths and weaknesses of the technologies currently used in human context sensing
11.1 Introduction
The complex systems that make up any city all revolve around one common aspect: the people. Today, 54% of the human population live in urban areas, and by 2050 that number is expected to increase to 66% [1]. In the future, a smart city will have applications, both individual and societal, that are tailored to the people living within them and help to improve healthcare, transportation, energy use, and the lives of people within the city. However, in order to include the city's people in these applications, such applications must be able to sense and monitor the people themselves through human context sensing. Human context sensing uses different sensing technologies to monitor an individual's human context: their state, physiologically and emotionally, and information about their interactions with the world around them. Only by understanding ...
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