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
Powered by GitBook
On this page

AI-Powered Micro-Expression Detection

In the digital world, video content has become a primary method of communication. Whether it’s advertisements, speeches, or social media videos, visual and vocal cues convey a significant amount of emotion. However, interpreting these cues accurately often requires deep analysis of both facial expressions and voice tones. BitTruth offers an advanced Micro-Expression Detection feature that uses AI to analyze subtle facial movements and voice modulation, helping users assess the emotional authenticity of video content and uncover any hidden intentions.

PreviousExampleNextFunction Overview

Last updated 2 months ago

😢