Cover image for Mobile SmartLife via Sensing, Localization, and Cloud Ecosystems
Title:
Mobile SmartLife via Sensing, Localization, and Cloud Ecosystems
Personal Author:
Physical Description:
xxviii, 273 pages : illustrations ; 24 cm
ISBN:
9781498732345
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33000000017480 QA76.5915 K35 2018 Open Access Book Book
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Summary

Summary

Indoor location is one of the two most important contexts (time and location), becoming a key entry for mobile Internet. This book envisions potential indoor location applications, overviews the related state of the art technologies, and presents original patented techniques and open source prototype systems. The tutorial and sample code are provided as a good reference and starting point for readers who are interested in the technique detail.


Author Notes

Kaikai Liu is a Ph.D. candidate in Electrical and Computer Engineering at the University of Florida (UF) under the supervision of Dr.Xiaolin Andy Li. , he alsosubmitted 6 papers and 3 patents with strong determination for innovation.

Dr. Xiaolin (Andy) Liis an associate professor and area chair of Computer Engineering Division in Department of Electrical andComputer Engineering at University of Florida.


Table of Contents

Introduction. Mobile Systems
Embedded Hardware
Smartphone
Cloud Server
Location-based Services
SmartLife Applications
Overview of Location Sensing Techniques
Angle based approach
Radio Fingerprinting based approach
Ranging based approaches
RSS ranging. TOA ranging
Relative location sensing via displacement
Sensor Fusion approaches
Mobile Sensing via Smartphone
Overview of Sensing via Smartphone
Embedded Sensors in Smartphone
Radio signal modules
Computation and Processing
Programming the Sensors of Smartphone
Beginning of iOS Programming
How to get location information
Inertial Sensor Programming
Audio and Camera sensing and processing
A step to step guide of developing a location based App
Tutorial of iOS Programming
Design a UI for map view
Displaying user's location on map
Fetch location point of interest from Google Place API