Skip to main content
SpringerLink
Log in

Sensor Analysis for the Internet of Things

  • Book
  • © 2018

Overview

Authors:
  1. Michael Stanley

    1. NXP Semiconductor, The Netherlands

    View author publications

    You can also search for this author in PubMed   Google Scholar

  2. Jongmin Lee

    1. NXP Semiconductor, The Netherlands

    View author publications

    You can also search for this author in PubMed   Google Scholar

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book USD 54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (6 chapters)

  1. Front Matter

    Pages i-xxiii
    Download chapter PDF

  2. Introduction

    • Michael Stanley, Jongmin Lee
    Pages 1-5

  3. Sensors

    • Michael Stanley, Jongmin Lee
    Pages 7-27

  4. Sensor Fusion

    • Michael Stanley, Jongmin Lee
    Pages 29-63

  5. Machine Learning for Sensor Data

    • Michael Stanley, Jongmin Lee
    Pages 65-84

  6. IoT Sensor Applications

    • Michael Stanley, Jongmin Lee
    Pages 85-94

  7. Concluding Remarks and Summary

    • Michael Stanley, Jongmin Lee
    Pages 95-95

  8. Back Matter

    Pages 97-113
    Download chapter PDF
Back to top

About this book

While it may be attractive to view sensors as simple transducers which convert physical quantities into electrical signals, the truth of the matter is more complex. The engineer should have a proper understanding of the physics involved in the conversion process, including interactions with other measurable quantities. A deep understanding of these interactions can be leveraged to apply sensor fusion techniques to minimize noise and/or extract additional information from sensor signals.

Advances in microcontroller and MEMS manufacturing, along with improved internet connectivity, have enabled cost-effective wearable and Internet of Things sensor applications. At the same time, machine learning techniques have gone mainstream, so that those same applications can now be more intelligent than ever before. This book explores these topics in the context of a small set of sensor types.

We provide some basic understanding of sensor operation for accelerometers, magnetometers,gyroscopes, and pressure sensors. We show how information from these can be fused to provide estimates of orientation. Then we explore the topics of machine learning and sensor data analytics.

Authors and Affiliations

  • NXP Semiconductor, The Netherlands

    Michael Stanley, Jongmin Lee

About the authors

Michael Stanley received his B.S.E. from Michigan State University in 1980 and his M.S. from Arizona State University in 1986. His career spans over three decades at Motorola Semiconductor, Freescale Semiconductor, and NXP Semiconductor. He is a Senior Member of the IEEE and is listed as inventor or co-inventor on seven patents. Mike was a contributor to the IEEE Standard for Sensor Performance Parameter Definitions (IEEE Std 2700-2014) as well as the 2nd edition of the Measurements, Instrumentation, and Sensors Handbook by CRC Press. He was inducted into the MEMS & Sensors Industry Group Hall of Fame in 2015 and he is an active member of the Industry Advisory Board for the Sensor, Signal, and Information Processing Center (SenSIP) at Arizona State University.Jongmin Lee is a Systems & Architecture Engineer at NXP Semiconductor. He received his Ph.D. in Electrical Engineering from Arizona State University in 2017. Previously, he was a graduate research associate at the Sensor,Signal, and Information Processing Center (SenSIP) at Arizona State University. His research interests include signal processing, communications, and machine learning.

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation