๐ WIA Emotion AI Standard
Official Ebook - Complete Guide to Affective Computing
Hongik Ingan (ๅผ็ไบบ้)
"Benefit All Humanity"
Understanding human emotions is fundamental to creating technology that truly serves people. The WIA Emotion AI Standard ensures ethical, accurate, and interoperable affective computing systems worldwide.
About This Ebook
This official ebook provides a comprehensive guide to the WIA Emotion AI (Affective Computing) Standard. It covers the complete specification across all four phases, from emotion data formats to multimodal integration for healthcare, education, and customer experience applications.
| Version |
1.0.0 |
| Chapters |
8 |
| Pages |
~120 |
| License |
MIT (Free) |
| Last Updated |
2025 |
Table of Contents
Part I: Foundation
Chapter 1: Introduction to Emotion AI
- What is Affective Computing?
- History: Rosalind Picard and MIT Media Lab (1995)
- Market Growth: $37.1 billion by 2026
- Use Cases Across Industries
- WIA Philosophy: Hongik Ingan
Chapter 2: Current Challenges
- Cultural Differences in Emotion Expression
- Privacy and Ethical Concerns
- Accuracy Limitations
- Bias in Training Data
- The Need for Standardization
Part II: Standard Overview
Chapter 3: Standard Overview
- Four-Phase Architecture
- Ekman's Discrete Emotion Model
- Dimensional Model (Valence-Arousal)
- FACS (Facial Action Coding System)
- Supported Modalities
Part III: Technical Specification
Chapter 4: Phase 1 - Emotion Data Format
- JSON Schema Structure
- Emotion Classification Fields
- Action Unit (AU) Encoding
- Multimodal Data Containers
- Timestamp and Confidence Values
Chapter 5: Phase 2 - API Interface
- REST API Design
- Facial Emotion Analysis Endpoints
- Voice Emotion Analysis Endpoints
- Text Sentiment Analysis Endpoints
- Biosignal Analysis Endpoints
Chapter 6: Phase 3 - Streaming Protocol
- Real-time WebSocket Protocol
- Event-based Streaming
- Frame Rate and Latency Requirements
- Security and Authentication
- Error Handling
Chapter 7: Phase 4 - Integration
- Healthcare Integration (Mental Health)
- Education Integration (Adaptive Learning)
- Marketing Integration (Consumer Research)
- Automotive Integration (Driver Monitoring)
- Multimodal Fusion Strategies
Part IV: Implementation
Chapter 8: Implementation and Certification
- Implementation Checklist
- Ethical Guidelines
- Privacy Compliance (GDPR, CCPA)
- Testing and Validation
- WIA Certification Process
Who This Ebook Is For
- AI/ML Engineers - Build emotion recognition systems
- Product Managers - Integrate affective computing features
- Researchers - Understand and contribute to the standard
- Healthcare Professionals - Evaluate mental health monitoring tools
- UX Designers - Create emotion-aware interfaces
Key Technologies Covered
| Modality |
Analysis Target |
Technology |
| Facial |
Expressions, Micro-expressions, AU |
Computer Vision, CNN |
| Voice |
Tone, Pitch, Speed, Intensity |
Speech Recognition, NLP |
| Text |
Words, Context, Sentiment |
NLP, Sentiment Analysis |
| Biosignal |
Heart Rate, EDA, EEG |
Biosensors, Wearables |
Get Certified
After reading this ebook, consider official WIA Emotion AI certification:
| Certification Level |
For |
Cost |
| Level 1: Compliant |
Basic emotion detection |
$500 |
| Level 2: Certified |
Commercial products |
$2,000 |
| Level 3: Certified Plus |
Healthcare/Sensitive applications |
$5,000 |
[i] Note: The specification and SDKs are FREE. Certification is optional but recommended for commercial products.
Start Certification Process
Major API/SDK References
- Microsoft Azure Emotion API
- Affectiva Emotion AI SDK
- Hume AI (EVI - Empathic Voice Interface)
- MorphCast Facial Emotion AI
- MetaSoul EPU (Emotion Processing Unit)
Additional Resources
Contact
World Certification Industry Association (WIA)
SmileStory Inc.
Website: https://wiastandards.com
Email: contact@wia.family
GitHub: https://github.com/WIA-Official
ๅผ็ไบบ้ (Hongik Ingan)
"Benefit All Humanity"
The WIA Emotion AI Standard belongs to humanity. Free forever.
Copyright 2025 SmileStory Inc. / WIA
Released under MIT License