Facial Expression Analysis: Measure Emotion with AI in Real Time
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Capture Emotional Reactions with AI in Real Time
Facial expressions are a window into emotion. With iMotions, you can detect and analyze these emotional signals in real time using AI-powered facial coding via webcam.
In controlled settings, facial expression analysis—especially when combined with other biosensors like EEG, GSR, or eye tracking—can provide powerful insights into how people feel, respond, and engage.
While no single sensor can read minds, combining multiple data streams with proven scientific methods gets you closer to understanding true emotional experience.
Analyze Facial Expressions with AI-Powered Precision
The iMotions Facial Expression Analysis Module uses Affectiva’s AFFDEX AI to detect and measure emotional responses in real time.
Whether you’re running live studies or analyzing recorded videos, iMotions makes it easy to:
- Use a webcam to capture facial expressions as participants engage with your content
- Sync emotional data directly with stimuli in real time
- Import and analyze pre-recorded videos with no extra setup
Built-in visualization tools help you quickly interpret results, and you can export the data for deeper analysis when needed.
Detect The 7 Core Emotions
iMotions’ Facial Expression Analysis uses advanced facial coding technology to detect the seven core emotions: Joy, Anger, Fear, Surprise, Sadness, Contempt, and Disgust.
By tracking subtle facial muscle movements—mapped through Action Units (AUs)—our software delivers real-time emotional insights using just a standard webcam.
Researchers and businesses use this data to improve user experiences, optimize marketing campaigns, support mental health assessments, and enhance product design.
Learn How Your Content Feels — Track Valence and Engagement
Valence and engagement are key metrics for understanding emotional responses to your content, product, or brand.
Engagement tracks how expressive and involved people are when they experience your ads, videos, or digital content.
→ More engagement = more attention and impact.
Valence reveals the emotional tone — from negative to positive — helping you assess brand perception, customer satisfaction, and product appeal.
→ High valence = happy customers.
By measuring both valence and engagement, you can make better decisions—refining campaigns, improving content, and creating experiences that resonate more deeply.
Track the Movement of the Face for Facial Expression Analysis
Researchers are already using the facial expression analysis module to:
- Measure personality correlates of facial behavior
- Test affective dynamics in game-based learning
- Explore emotional responses in teaching simulations
- Assessing physiological responses to driving in different conditions
- And much more
Get a Demo
We’d love to learn more about you! Talk to a specialist about your research and business needs and get a live demo of the capabilities of the iMotions Research Platform.
Discover the Science of Facial Coding
Check Out Our Visual Guidebook To The Facial Action Coding System (FACS)
Learn how the Facial Action Coding System (FACS) breaks down facial expressions into measurable muscle movements. This guide explores how researchers use FACS to decode emotions, improve study accuracy, and gain deeper insights into human behavior.
Unlock the Science of Facial Expressions
Discover how facial expressions reveal our inner emotions. This comprehensive guide explores the science behind micro-expressions, facial coding, and emotional insights—essential knowledge for researchers and professionals alike.
See Emotion in Action with The Facial Expression Analysis Module
Discover how the iMotions Facial Expression Analysis Module uses AI and facial coding to detect emotional expressions in real time. Track key emotions like joy, anger, and surprise for deeper insights into human behavior and experience.
Get a Demo
We’d love to learn more about you! Talk to a specialist about your research and business needs and get a live demo of the capabilities of the iMotions Research Platform.