Emotional Analytics: Unveiling Insights Through Emotion and Attention Tracking
Understand behaviors and reactions with advanced emotion and attention analysis
AI-Powered Emotions Detection
Scientific Background
The approach, grounded in Ekman’s "universal emotions" theory, is validated, reliable, and trusted by clients.
AI Algorithms
Advanced AI algorithms offer non-invasive and objective emotion measurement while eliminating human error.
Sensitive Micro-expression Detection
Provides more accurate emotional interpretation than traditional methods due to its sensitivity to facial micro-expressions.
Ethnicity Recognition Algorithm
The algorithm is trained to recognize faces of different ethnicities based on an extensive and diverse global dataset.
For face recognition we partner with CoolTool/RIWI. Their proprietary AI allows to create the most accurate online eye-tracking and face recognition that leverages built-in cameras on desktops, laptops, tablets, and smartphones.
How It Works
The model is capable of detecting micro-expressions and accurately recognizing seven basic emotions across ethnicities.
The slider is also displayed on the screen to capture respondents' immediate reactions as they watch the film, ranging from 'I dislike' to 'I like’. This allows for real-time feedback on their viewing experience and opinions.
Our Process
