Emotion Recognition
Emotion Recognition
Emotion Recognition

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About the Book

Welcome to the Empathic Enterprise

Emotion recognition technology has the power to create truly empathic machines. As the goal of any business is to intimately understand user behavior, deploying this technology as a predictive analysis agent is an extremely powerful market edge. "Emotion Recognition: The Technology and Industry Behind Empathic Artificial Intelligence" is the first volume to critically review this emerging industry.

Understand the Psychology + Technology

This book accumulates academic research to provide an ample introduction into both the psychological and mathematic underpinnings behind these emotive algorithms. We go behind Paul Ekman's 6 Basic Emotions and review cutting edge psychological and algorithmic research performed at prominent universities.

Understand the Economy

Who is providing this technology? The volume is the first to test and compare functional offerings for 30+ API (Application Programming Interface) providers that detect emotion from face, voice, text, radio waves, and other advanced biometric cues, providing real-time cloud analysis.

Many, Many Use Cases

Discover how Emotion Recognition has already been applied within real world situations, and future use cases within varying business sectors. Applications are numerous within healthcare, the Internet of Things, self-driving cars, creative marketing, digital advertising, art projects, and more.

Social Implications

What implications are there from using Emotion Recognition? Consider the social understanding of artificial intelligence, and the legal implications of data collection as it relates to predicting user moods.

Forecasts into the Future

Where does the craft fall short? Where is this industry heading? I outline the critical advances in microchips and artificial intelligence research that will unlock increasingly powerful iterations of Emotion Recognition to improve things like processing speed, accuracy, and effective micro-expressions analysis.

Non-Vendor Perspective

The information within this book was compiled using public software documentation, academic and corporate research papers, non-fiction books, and one-one phone interviews with software vendors. Bill Doerrfeld, a consultant and writer, provides a valuable third party angle to eliminate vendor bias.

Machine-Business Intelligence

The next contributor to the big data warehouse, Emotion Recognition is truly the next frontier for business intelligence. If you are spearheading innovation at your company, you shouldn't overlook this field. I emphasize the industry of Emotion Recognition from a critical business perspective, so that startups to corporate executives better understand how they might implement Emotion Recognition in their own way. So come with me as I analyze the emotion recognition craft, the market of commercially available technology, and assess potential use cases.

About the Author

Bill Doerrfeld
Bill Doerrfeld

Bill Doerrfeld is a technologist and writer interested in disruptive software and projecting technology of the future. He is especially devoted to tracking the API economy, and is the Editor in Chief for Nordic APIs, a blog and knowledge base devoted to helping API (Application Programming Interface) providers refine their platforms. Follow him on Twitter, Linkedin, or reach out via email. Visit doerrfeld.io for more.

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