Emotional AI : Control.Alt.Emotion

De: Ajit Singh

Narrado por: Virtual Voice

"Emotional AI: Control.Alt.Emotion" is a comprehensive textbook and practical guide designed to navigate the cutting-edge domain of Affective Computing. It bridges the gap between theoretical concepts and real-world application, providing a structured pathway for students and professionals to master the art and science of building emotionally intelligent systems.


Why This Book?


As artificial intelligence becomes increasingly integrated into our daily lives—from customer service chatbots and virtual assistants to healthcare monitors and educational tools—the demand for systems that can understand and respond to human emotion is skyrocketing. However, the knowledge in this field is often fragmented across research papers, specialized blogs, and advanced university courses. This book consolidates this knowledge into a single, cohesive, and accessible resource. It is meticulously designed to align with the core principles of India's NEP 2020 and AICTE model curriculum, emphasizing a hands-on, problem-solving approach that is equally relevant to international academic standards.


Key Features:


1. Beginner to Expert Trajectory: The 10-chapter arc is carefully designed to guide readers from foundational principles to advanced, state-of-the-art concepts, making it suitable for both undergraduate and postgraduate students.
2. Hands-On & Practical: Every chapter is enriched with simple, real-life examples, practical code snippets, case studies, and hands-on exercises to reinforce learning and bridge the theory-practice gap.
3. Complete Capstone Project: The final chapter is a comprehensive, step-by-step tutorial to build a live DIY project—an Empathetic Chatbot—complete with fully explained, working code.
4. Multimodal Approach: The book provides dedicated coverage of all major modalities for emotion detection: text (NLP), speech (SER), vision (Facial Expression Recognition), and physiological signals (EEG, ECG).
5. Focus on Simplicity and Clarity: Complex algorithms and architectures are broken down into simple, easy-to-understand concepts, ensuring that the material is accessible to readers from diverse backgrounds.
6. Ethical Considerations: A dedicated chapter addresses the critical ethical dimensions of Emotional AI, including bias, privacy, and societal impact, fostering responsible innovation.
7. Globally Relevant: While aligned with Indian curricula, the tools, techniques, and case studies are universally applicable, making the book a valuable resource for students and developers worldwide.


To Whom This Book Is For:


This book is primarily intended for:

1. B.Tech/M.Tech Students: Computer Science, Information Technology, and AI/ML engineering students will find it an indispensable resource that maps directly to their curriculum.
2. Aspiring AI/ML Engineers & Data Scientists: Professionals looking to specialize in the niche but rapidly growing field of Affective Computing.
3. University Professors & Educators: A well-structured textbook for designing and teaching a course on Emotional AI or Affective Computing.
4. Researchers & Academics: A consolidated reference for key concepts, architectures, and future directions in the field.
5. Product Managers & Tech Enthusiasts: Individuals who want to understand the capabilities and implications of emotionally aware technology to drive innovation in their products and organizations.