WIA Emotion AI Standard Guide Set (KO/EN)

Facial Expression Analysis, Sentiment Detection, Voice Tone Recognition, Micro-Expression Mining & Empathy Modeling

Yeon Sam-heum, Ph.D.(연삼흠 박사)
📙 Book Introduction
The WIA Emotion AI Standard Guide Set provides a framework for ethical, accurate emotion recognition. This dual-language guide covers data formats, APIs, streaming protocols, and integration across healthcare, education, marketing, and automotive. Grounded in Hongik Ingan philosophy, it specifies twenty-four requirements ensuring systems protect privacy, prevent bias, and deliver trustworthy results. For developers, researchers, and technology leaders building emotion AI that serves humanity.
🌈 Publisher's Review
WIA Book publishes the Emotion AI Standard as a milestone in technical standardization, representing years of collaboration among researchers and policymakers globally. By releasing the specification and simulator under MIT license, we affirm our commitment to democratizing emotion AI and ensuring accessibility. The dual-language edition reflects our belief that standards must transcend linguistic boundaries, enabling teams worldwide to build ethical, accurate, and beneficial emotion AI systems.
🔑 Inside the Book
Ch.1 Introduction to Emotion AI
Ch.2 Current Challenges in Emotion AI
Ch.3 WIA Emotion AI Standard Overview
Ch.4 Phase 1 — Emotion Data Format
Ch.5 Phase 2 — API Interface
Ch.6 Phase 3 — Streaming Protocol
Ch.7 Phase 4 — Integration
Ch.8 Implementation and Certification
🎯 Who Needs This
• Machine learning engineers building real emotion AI
• Healthcare professionals deploying mental health tech
• Product managers in automotive and safety sectors
• Data scientists mitigating bias in emotion models
• Game developers creating emotionally aware experiences
• Compliance and ethics officers ensuring AI accountability
• Academics researching affective computing and psychology
• Enterprise architects planning ethical AI systems
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