BitTruth
  • 📖Executive Summary
  • ⏰Revolutionizing Trust in the Digital Age
    • Market Opportunity
    • Competitive Landscape
  • #️⃣BitTruth: Restoring Integrity in Digital Content through Emotion Analysis
    • Mission & Vision
  • 💼AI-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
    • 📡Micro-Expression Detection
  • Technological Framework Behind BitTruth
    • 🔋AI-powered Emotion Manipulation Detection
    • 🎙️Micro-Expression and Voice Tone Analysis
    • ⛓️Blockchain Integration for Decentralized Verification
    • 🧭API Integration for Businesses and Platforms
    • 🔐Unlocking the True Value of Digital Content
    • 💰Tokenomics
      • Utility of $BTT Tokens
      • Token Allocation
    • 🛣️Roadmap
    • ❓FAQ
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  1. AI-Powered Micro-Expression Detection

Function Overview

Micro-Expression Detection by BitTruth involves a comprehensive analysis of both facial micro-expressions and voice tones to determine the authenticity of emotions in video content. Micro-expressions are brief, involuntary facial movements that often reveal underlying emotions like anxiety, discomfort, or deceit, even when someone tries to conceal them. Similarly, changes in voice tone, pitch, and pacing provide valuable insights into a person's emotional state.

By combining these two sources of emotional information, BitTruth can detect hidden feelings or intentions, offering users a more complete and accurate understanding of the emotional authenticity behind the content. Whether analyzing an advertisement, a social media video, or a business negotiation, this feature helps reveal if the emotions portrayed are genuine or manipulated.

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Last updated 2 months ago

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