Making Sense of Sensors: End-to-End Algorithms and Infrastructure Design from Wearable-Devices to Data Centers

Omesh Tickoo

商品描述

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 the examples 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.

 

 

商品描述(中文翻譯)

充分利用從感測器中獲取有意義數據的常見架構。本書為您提供了理解感測器數據如何轉化為可操作知識的工具,並提供了在這一領域進行深入工作的技巧。

《Making Sense of Sensors》首先概述了從感測器中提取有意義數據的一般流程。然後深入探討了一些常用的感測器和用於知識提取的算法。通過實際示例和更多信息的指引,概述了多模態識別的關鍵方面。本書最後討論了關係提取、知識表示和管理。

在今天的世界中,我們被各種感測器所包圍,這些感測器收集有關我們和我們的環境的各種數據。這些感測器是可穿戴計算機、物聯網和其他移動設備的主要輸入設備。該信息以一種方式呈現,使讀者能夠將示例與他們的日常生活聯繫起來,以更好地理解概念。

您將學到什麼:

- 查看基於感測器數據的一般架構
- 理解如何處理慣性、視覺和音頻等常見領域的數據
- 通過使用多種異構感測器進行多模態識別
- 通過理解實體之間的關係,從識別轉向知識
- 利用不同的方法和工具進行知識表示和管理

本書適合對獲取知識和技能以開發關於當今感測器豐富設備的創新解決方案感興趣的新畢業生和專業人士。