Making Sense of Sensors (eBook)

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, IoT, 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. 

What You'll Learn:

•  General architecture for sensor based data understanding
  
• Specific examples to understand how data from common domains such as inertial, visual and audio is processed
  
• Multi-modal recognition using multiple heterogeneous sensors
  
• How to transition from recognition to knowledge through relationship understanding between entities
  
• Different methods and tools for knowledge representation and management
  
• Current state of the art in this rapidly emerging industry
  

Omesh Tickoo is a research manager at Intel Labs. His team is currently active in the area of knowledge extraction from multi-modal sensor data centered around vision and speech. In his research career Omesh has made contributions to computer systems evolution in areas like wireless networks, platform partitioning and QoS, SoC architecture, Virtualization and Machine Learning. Omesh is also very active in fostering academic research with contributions toward organizing conferences, academic project mentoring and joint industry-academic research projects. He has authored 30+ conference and journal papers and filed 15+ patent applications. Omesh received his PhD from Rensselaer Polytechnic Institute in 2015.

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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 LearnLook at the general architecture for sensor based data Understand how data from common domains such as inertial, visual and audio is processedMaster multi-modal recognition using multiple heterogeneous sensorsTransition from recognition to knowledge through relationship understanding between entitiesLeverage different methods and tools for knowledge representation and managementWho This Book Is ForNew college graduates and professionals interested in acquiring knowledge and the skills to develop innovative solutions around today's sensor-rich devices.