Mental Edge is a technology-powered emotional analytics platform that analyzes facial micro-expressions to deliver real-time emotional insights across athletics, healthcare, business, education, and security.
Mental Edge uses computer vision grounded in the Facial Action Coding System (FACS) — co-developed by Dr. Paul Ekman — to detect and score the 44 discrete Action Units that produce human facial expressions. Each frame of video is analyzed in real time, producing an emotional state vector that tracks seven core emotions: enjoyment, sadness, anger, fear, surprise, disgust, and contempt.
Athletes and coaches use Mental Edge to monitor mental performance and detect burnout before it impacts results. Healthcare providers use it to improve patient communication and train clinical empathy. Business leaders use it to monitor team engagement and lead with greater self-awareness. Educators use it to measure real student engagement in live and recorded sessions. Security and law-enforcement professionals use it to sharpen situational awareness and interview skills.
Real-time analysis (under 2 seconds), 95% emotion detection accuracy, 7 core emotions tracked, multi-face simultaneous analysis (on MultiFace and Pro plans), cross-session comparison and trend tracking, face registration and recognition (Pro plan), and edge deployment for privacy-sensitive environments.
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