Making Sense of Sensors
Implementing a Knowledge Pipeline
(Sprache: Englisch)
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...
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Klappentext zu „Making Sense of Sensors “
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
Who This Book Is For
New college graduates and professionals interested in acquiring knowledge and the skills to develop innovative solutions around today's sensor-rich devices.
Inhaltsverzeichnis zu „Making Sense of Sensors “
- Foreword/prefaceChapter 1 - Overview
Chapter 2: Tools and libraries
Chapter 3: Project life cycle in wearable computing
Chapter 4: Marketplace
Chapter 5: Front end processing of live videos
Chapter 6: Front end processing of prerecorded video
Chapter 7: Middleware - Object recognition
Chapter 8: Middleware - Face recognition
Chapter 9: Middleware - Activity recognition
Chapter 10: Back end use case - smart assisted living
Chapter 11: Back end use case - business calendar assistant
Chapter 12: Back end use case - security and threat scanning
Autoren-Porträt von Omesh Tickoo, Ravi Iyer
Yueheng Xu is a research engineer working on projects with a team developing the cutting edge of the wearable computing devices at Intel Labs. His specific areas of expertise are in cryptography, wearable computing, C/C++ programming, and product prototyping.
Bibliographische Angaben
- Autoren: Omesh Tickoo , Ravi Iyer
- 2017, 1st ed., XIII, 117 Seiten, Maße: 15,4 x 23,6 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 1430265922
- ISBN-13: 9781430265924
- Erscheinungsdatum: 07.01.2017
Sprache:
Englisch
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