Affective Computing

Overview

About the Course:

Dive into the innovative world of Affective Computing, a pioneering field at the confluence of Computer Science, design, and human psychology. This enlightening course is designed to equip machines with the ability to recognize emotions and interact adaptively.

Participants will explore a comprehensive curriculum covering emotion theory, computational modeling of emotions, and emotion analysis through various modalities including voice, facial expressions, and physiological signals. Furthermore, the course delves into machine learning and signal processing techniques, alongside a critical examination of the ethical, legal, and social ramifications of affective computing with a focus on Human-Machine Interaction.

Intended Audience:

This course is ideal for senior undergraduate and postgraduate students eager to delve into the depths of Affective Computing.

Prerequisites:

• Mandatory:

  Programming, Artificial Intelligence, Machine Learning

• Desirable:

  Human-Computer Interaction, Deep Learning

Industry Support:

This course is highly recognized across the AI/ML industry spectrum.

Leading tech giants such as Amazon, Apple, Google, Meta, and Microsoft, amongst others, value the skills and knowledge imparted through this course.

University:

Provider:

Swayam

Categories:

Machine Learning Courses, Computer Science Courses, Signal Processing Courses

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Taught by

Prof. Jainendra Shukla, Prof. Abhinav Dhall

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Subjects