Overview
- Outlines common architectures used for deriving meaningful data from sensors
- Learn how sensor data is converted into actionable knowledge
- Provides tips for in-depth work in the field, along with practical examples and pointers
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Table of contents (7 chapters)
Keywords
About this book
Make the most of the common architectures used for deriving meaningful data from sensors. This book provides you with the tools to understand how sensor data is converted into actionable knowledge and provides tips for in-depth work in this field.
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.
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, IoT, and other mobile devices. The information is presented in way that allows readers to associate theexamples with their daily lives for better understanding of the concepts.
What You'll Learn
- Look at the general architecture for sensor based data
- Understand how data from common domains such as inertial, visual and audio is processed
- Master multi-modal recognition using multiple heterogeneous sensors
- Transition from recognition to knowledge through relationship understanding between entities
- Leverage different methods and tools for knowledge representation and management
New college graduates and professionals interested in acquiring knowledge and the skills to develop innovative solutions around today's sensor-rich devices.
About the authors
Bibliographic Information
Book Title: Making Sense of Sensors
Book Subtitle: End-to-End Algorithms and Infrastructure Design from Wearable-Devices to Data Centers
Authors: Omesh Tickoo, Ravi Iyer
DOI: https://doi.org/10.1007/978-1-4302-6593-1
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Omesh Tickoo and Ravi Iyer 2017
Softcover ISBN: 978-1-4302-6592-4Published: 07 January 2017
eBook ISBN: 978-1-4302-6593-1Published: 30 December 2016
Edition Number: 1
Number of Pages: XIII, 117
Number of Illustrations: 84 b/w illustrations
Topics: Hardware and Maker, Computer Science, general, Programming Techniques