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Mobile Sensors and Context-Aware Computing
1st Edition - February 22, 2017
Author: Manish J. Gajjar
Language: English
Paperback ISBN:9780128016602
9 7 8 - 0 - 1 2 - 8 0 1 6 6 0 - 2
eBook ISBN:9780128017982
9 7 8 - 0 - 1 2 - 8 0 1 7 9 8 - 2
Mobile Sensors and Context-Aware Computing is a useful guide that explains how hardware, software, sensors, and operating systems converge to create a new generation of context-a…Read more
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Mobile Sensors and Context-Aware Computing is a useful guide that explains how hardware, software, sensors, and operating systems converge to create a new generation of context-aware mobile applications. This cohesive guide to the mobile computing landscape demonstrates innovative mobile and sensor solutions for platforms that deliver enhanced, personalized user experiences, with examples including the fast-growing domains of mobile health and vehicular networking.
Users will learn how the convergence of mobile and sensors facilitates cyber-physical systems and the Internet of Things, and how applications which directly interact with the physical world are becoming more and more compatible. The authors cover both the platform components and key issues of security, privacy, power management, and wireless interaction with other systems.
Shows how sensor validation, calibration, and integration impact application design and power management
Explains specific implementations for pervasive and context-aware computing, such as navigation and timing
Demonstrates how mobile applications can satisfy usability concerns, such as know me, free me, link me, and express me
Covers a broad range of application areas, including ad-hoc networking, gaming, and photography
Researchers, professionals, and graduate students in the field of mobile computing, smart phone app-development, and mobile health or vehicular networking
Chapter 1. Introduction
Abstract
Definition of Mobile Computing
Constraints and the Challenges Faced by Mobile Computing Systems
Historical Perspectives and the Influences of Market
Market Trends and Growth Areas
References
Chapter 2. Context-aware computing
Abstract
Context-Aware Computing
Context
Location Awareness
Localization Algorithms
References
Chapter 3. Sensors and actuators
Abstract
Terminology Overview
Sensor Ecosystem Overview
References
Chapter 4. Sensor hubs
Abstract
Introduction to Sensor Hubs
Atmel SAM D20 Sensor Hub With Micro Controller Unit
STMicroelectronics Sensor-Based Hub With Micro Controller Unit (LIS331EB)
References
Chapter 5. Power management
Abstract
Introduction
ACPI Power States
Power Management in Sensors, Smartphones, and Tablets
Example of Power Management Architecture in Sensor
Power Management in a Typical Sensor Hub
References
Chapter 6. Software, firmware, and drivers
Abstract
Introduction to Software Components
Windows Sensor Software Stack
Android Sensor Software Stack
Sensor Hub Software and Firmware Architecture
References
Chapter 7. Sensor validation and hardware–software codesign
Abstract
Validation Strategies and Challenges
Generic Validation Phases
Sensor Test Card Solutions
Validation Strategies and Concepts
References
Chapter 8. Sensor calibration and manufacturing
Abstract
Motivation for Calibrating Sensors
Supply-Chain Stakeholders
The Calibration Process
Single and Multiaxis Linear Calibration
Reference
Chapter 9. Sensor security and location privacy
Abstract
Introduction to Mobile Computing Security and Privacy
Sensor Security
Location Privacy
References
Chapter 10. Usability
Abstract
Need of Sensors in Mobile Computing
Human–Computer Interactions: Gesture Recognition
Sensor Usages
A Few Sensor Examples
References
Chapter 11. Sensor application areas
Abstract
Introduction to Sensor Applications
Augmented Reality
Sensor Applications in the Automotive Industry
Sensor Applications in Energy Harvesting
Sensor Applications in the Health Industry
References
No. of pages: 356
Language: English
Edition: 1
Published: February 22, 2017
Imprint: Morgan Kaufmann
Paperback ISBN: 9780128016602
eBook ISBN: 9780128017982
MG
Manish J. Gajjar
Manish J. Gajjar is a technical program manager and early prototyping lead for sensor solutions at Intel Corporation He has 20 years of experience at Intel in chipsets and graphics products, including roles as validation architect, design/validation and emulation lead to post silicon validation program manager. Manish has also served on the Industry advisory board of California State University and as a faculty member there.
Affiliations and expertise
Technical Program Manager and Early Prototyping Lead, Sensor Solutions, Intel Corporation, Granite Bay, CA, USA
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