Privacy-Preserving Emotion Analysis
Advancing Emotion AI for Long Videos While Protecting Identity
This research introduces a novel approach for emotion analysis in long-form videos that preserves privacy through identity protection techniques.
- Addresses limitations in current emotion analysis systems that focus only on short video clips
- Captures authentic emotions over extended periods rather than just instantaneous reactions
- Implements de-identification methods to enhance privacy and security while maintaining analytical accuracy
- Leverages multi-modal large language models to process complex emotional signals
For security professionals: This work demonstrates how emotional intelligence systems can respect privacy by design, enabling emotion analysis without compromising sensitive biometric information.