BitTruth
  • πŸ“–Executive Summary
  • ⏰Revolutionizing Trust in the Digital Age
    • Market Opportunity
    • Competitive Landscape
  • #️⃣BitTruth: Restoring Integrity in Digital Content through Emotion Analysis
    • Mission & Vision
  • πŸ’ΌAI-Powered Language Emotion Manipulation Detection
    • Function Overview
    • Application Scenarios
    • Example
  • 😢AI-Powered Micro-Expression Detection
    • Function Overview
    • Application Scenarios
    • Example
  • How It Works
    • ☎️Language Emotion Manipulation Detection
    • πŸ“‘Micro-Expression Detection
  • Technological Framework Behind BitTruth
    • πŸ”‹AI-powered Emotion Manipulation Detection
    • πŸŽ™οΈMicro-Expression and Voice Tone Analysis
    • ⛓️Blockchain Integration for Decentralized Verification
    • 🧭API Integration for Businesses and Platforms
    • πŸ”Unlocking the True Value of Digital Content
    • πŸ’°Tokenomics
      • Utility of $BTT Tokens
      • Token Allocation
    • πŸ›£οΈRoadmap
    • ❓FAQ
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  1. AI-Powered Micro-Expression Detection

Example

Let’s consider an example of a video where an influencer says:

  • Video Script: "This is the best product I’ve ever used!"

AI analysis would produce the following results:

  • Sincerity Score: 55%

  • Emotion Distribution:

30% Nervousness (The slight tightening of the corners of the mouth and a rapid blink indicate discomfort or unease, despite the positive statement)

  • Annotation: β€œAt the 3-second mark, the eye blink rate increases, indicating nervousness or insincerity.”

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Last updated 2 months ago

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