Affective Computing: Fundamentals and Applications

· Artificial Intelligence Книга 266 · One Billion Knowledgeable
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ΠžΡ†Π΅Π½ΠΊΠΈΡ‚Π΅ ΠΈ ΠΎΡ‚Π·ΠΈΠ²ΠΈΡ‚Π΅ Π½Π΅ са ΠΏΠΎΡ‚Π²ΡŠΡ€Π΄Π΅Π½ΠΈ  НаучСтС ΠΏΠΎΠ²Π΅Ρ‡Π΅

Всичко Π·Π° Ρ‚Π°Π·ΠΈ Π΅Π»Π΅ΠΊΡ‚Ρ€ΠΎΠ½Π½Π° ΠΊΠ½ΠΈΠ³Π°

What Is Affective Computing

The study and development of systems and technologies that are capable of recognizing, interpreting, processing, and simulating human affects is what is known as affective computing. It is a multidisciplinary field that includes computer science, psychology, and cognitive science among its subfields. Although the roots of some of the field's fundamental concepts may be traced all the way back to early philosophical investigations into emotion, the more contemporary area of computer science can be traced back to Rosalind Picard's work on affective computing that she released in 1995 and her book Affective Computing that was published by MIT Press. The capacity to provide robots emotional intelligence, particularly the ability to simulate empathy, is one of the goals for the study that is being done. The computer should be able to interpret the emotional state of humans and modify its behavior to them in order to provide an appropriate reaction to the emotions being displayed by the humans.


How You Will Benefit


(I) Insights, and validations about the following topics:


Chapter 1: Affective Computing


Chapter 2: Emotion


Chapter 3: Facial Expression


Chapter 4: Gesture Recognition


Chapter 5: Facial Action Coding System


Chapter 6: Affective Science


Chapter 7: Rosalind Picard


Chapter 8: Emotion Classification


Chapter 9: Affective Haptics


Chapter 10: Emotion Recognition


(II) Answering the public top questions about affective computing.


(III) Real world examples for the usage of affective computing in many fields.


(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of affective computing' technologies.


Who This Book Is For


Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of affective computing.

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