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The Rise of AI-driven Emotion Recognition Technology and Applications in China

Oct 22, 2020 |

Overview:

AI-based emotion recognition (ER) technologies have become more widespread in China and are beginning to replace traditional methods across some applications. Similar to the west, the key methods employed by ER are: facial expression decoding, voice pattern analysis, body movement analysis, brainwave measurement, text interpretation and multi-modal analysis.

Interestingly, with less strict regulations on personal biometric data privacy than the US, we are seeing slightly different industry growth trends China, with customer service, healthcare/well-being and VPA (chatbots) seeing the most initial takeup.  

Table of Contents:

  • General Overview – Key Methods
  • Market Segments & Applications
  • ER Across Verticals in China
  • Top ER Vertical Markets in China
  • Use Cases by Industry
    • Education
    • AI Chatbot
    • Customer Service
    • Fraud Detection
    • Surveillance & Security
    • Healthcare & Well-Being
    • General
  • Key Issues & Challenges
  • Key Trends & Drivers
  • Conclusion 

Number of Pages: 28
Author: Wei Sun
Published Date: October 2020

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