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Hands-On Artificial Intelligence for IoT

You're reading from   Hands-On Artificial Intelligence for IoT Expert machine learning and deep learning techniques for developing smarter IoT systems

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781788836067
Length 390 pages
Edition 2nd Edition
Languages
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Author (1):
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Dr. Amita Kapoor Dr. Amita Kapoor
Author Profile Icon Dr. Amita Kapoor
Dr. Amita Kapoor
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Table of Contents (14) Chapters Close

Preface 1. Principles and Foundations of IoT and AI FREE CHAPTER 2. Data Access and Distributed Processing for IoT 3. Machine Learning for IoT 4. Deep Learning for IoT 5. Genetic Algorithms for IoT 6. Reinforcement Learning for IoT 7. Generative Models for IoT 8. Distributed AI for IoT 9. Personal and Home IoT 10. AI for the Industrial IoT 11. AI for Smart Cities IoT 12. Combining It All Together 13. Other Books You May Enjoy

Summary


The focus of this chapter was personal and home AI-powered IoT solutions. The large-scale use of smartphones has brought wearable sensors to every person's reach, resulting in a plethora of personal apps. In this chapter, we explored and implemented some of the successful personal and home AI-powered IoT solutions. We learned about SuperShoes by MIT, shoes that can find their own path to the destination. We learned about CGM systems and implemented code to predict hyperglycemia. This chapter also demonstrated how personalized heart monitors can be implemented.

While smart homes are still in their infancy, the chapter explored some of the most popular and useful smart home solutions. HAR, an application that exists at the boundary of smart homes and personal IoT, was introduced. We wrote some code using scikit-learn to classify the activity from data obtained using accelerometers. The chapter introduced some cool smart lighting applications and talked about home surveillance using...

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