Making sense of sensors : implementing a knowledge pipeline /

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Bibliographic Details
Author / Creator:Tickoo, Omesh, author.
Imprint:[United States] : Apress, 2017.
New York, NY : Distributed to the Book trade worldwide by Springer
©2017
Description:1 online resource
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11270586
Hidden Bibliographic Details
Other authors / contributors:Iyer, Ravi, author.
ISBN:9781430265931
1430265930
1430265922
9781430265924
9781430265924
Digital file characteristics:text file PDF
Notes:Includes bibliographical references and index.
Online resource; title from PDF title page (SpringerLink, viewed January 9, 2017).
Summary:This book outlines the common architectures used for deriving meaningful data from sensors. In today's world we are surrounded by sensors collecting various types of data about us and our environments. These sensors are the primary input devices for wearable computers, internet-of-things, and other mobile devices. This book provides the reader with the tools to understand how sensor data is converted into actionable knowledge and provides tips for in-depth work in this field. The information is presented in way that allows readers to associate the examples with their daily lives for better understanding of the concepts. Making Sense of Sensors starts with an overview of the general pipeline to extract meaningful data from sensors. It then dives deeper into some commonly used sensors and algorithms designed for knowledge extraction. Practical examples and pointers to more information are used to outline the key aspects of Multimodal recognition. The book concludes with a discussion on relationship extraction, knowledge representation, and management.
Other form:Printed edition: 9781430265924
Standard no.:10.1007/978-1-4302-6593-1