Affectiva Facial Coding SDK
Incorporate Real-Time Emotion Sensing In Digital Experiences and Applications
Develop Emotion Sensing Solutions with Facial Coding SDK
Affectiva Facial Coding SDK is the industry-leading solution for real-time facial expression analysis, enabling businesses, researchers, and developers to decode human emotions with precision. Leveraging deep learning models trained on thousands of diverse participants, Affectiva Facial Coding SDK provides highly accurate emotion detection, outperforming competitors in real-world conditions.
Whether you’re conducting ad testing, user experience research, driver monitoring, or healthcare studies, Affectiva Facial Coding SDK delivers scalable, cross-platform Facial Coding AI that integrates seamlessly into your workflow.

Comprehensive Data Set
17M
Faces
9B
Facial Frames
90
Countries Represented
What it can do

Facial Expression Analysis from any video source

Embed into your own application

Detect and analyze multiple faces simultaneously

Speaker detection for video conferences

Real-time and post-processing options

Mobile Supported with native Android SDK
Try it out!
Open the playground and see how the technology works in real-time. Please note that the demo runs on a slightly older version of the SDK.

Why Choose The Affectiva Facial Coding SDK Over Competitors?
🔹 NEW! Android Emotion SDK – AFFDEX Emotion SDK now supports Android natively and brings the 5.x model to Android. This opens up for a wide range of new applications and enables full privacy and zero server bills as all compute happens at edge on the users device.
🔹 NEW! Pain and Yawn metrics – The Pain metric detects distinct, objective facial expressions of pain/discomfort, which can be used to explore “cringe” and “hard-to-watch” moments in dramatic or provocative content. The Yawn metric provides real-time tracking of 29 facial signals to isolate jaw and mouth movements, ideal for detecting fatigue, boredom, or drops in attention.
Who Uses Affectiva Facial Coding SDK?

Marketing and Advertising
Optimize ad engagement, emotional impact, and brand perception with emotion- driven insights.

User Experience & HCI Research
Enhance digital experiences by understanding user frustration, satisfaction, and engagement.

Automotive & Driver Monitoring
Detect driver drowsiness, distraction, and emotional states for safer road experiences.

Healthcare & Mental Health Applications
Support patient diagnostics, therapy monitoring, and psychological research with facial expression analysis.

Academic & AI Research
Train machine learning models with robust facial expression datasets, improving AI-human interaction capabilities.











Get Started with Affectiva Facial Coding SDK
Ready to integrate real-time facial expression analysis into your projects? Contact iMotions today to discuss licensing options, integration support, and custom solutions tailored to your needs.
Technical Requirements and License Options
Platform support
Android
Windows 10 (x86) with Visual Studio 2019
Ubuntu 24.04lts x86_64 with GCC 13.2
Hardware
There are no special requirements for processing power or a GPU,
A RGB video source (minimum 640×480 resolution).
Licenses
Commercial and development license.
Academic license with attractive pricing for annual renewals.
Related Solutions
Affectiva Facial Coding API
Looking to batch process videos? Then the Facial Coding API is a cost effective and easy solution where you only pay for the minutes you use.
Affectiva Media Analytics
Optimize content and media spend by measuring consumer emotional responses to videos, ads, movies and TV shows – unobtrusively and at scale.
iMotions Lab
Combine Facial Expression Analysis with eye tracking, EEG or EDA for multimodal human behavior research.
Science Resources
Affectiva Facial Coding AI in academic research
Affectiva’s facial coding AI is widely used in academic research, and is regarded as the gold standard for automated facial coding.
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2026 International Journal of Hospitality Management Gated Peer-Reviewed
Designing smart menus: A multi-method exploration of AI integration in hospitality guest experience and operations
Isenberg School of Management
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2026 MDPI Brain Sciences Open Access Peer-Reviewed
Cognitive Behavioral Therapy Reduces Symptom Severity and Normalizes Neurophysiological and Attentional Reactivity in Anorexia Nervosa: A Randomized Controlled Trial
Beykoz University + 2 more
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2026 The Society for Education, Music and Psychology Research Open Access Peer-Reviewed
An Interdisciplinary and Integrated Methodological Framework to Analyze Aesthetic Experience in Music Performances
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2026 European Journal of Information Systems Open Access Peer-Reviewed
How do attention and emotion drive donations in charitable crowdfunding? An empirical study of users’ cognitive and physiological responses to image content
Copenhagen Business School
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2026 Open Access Peer-Reviewed
Poker face and steady voice: Gender and reactions to emotional neutrality in crowdfunding
University of St. Gallen + 2 more
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2026 Electronics Open Access Peer-Reviewed
A Cross-Corpus Evaluation on Spontaneous and Dynamic Facial Expressions for Automated Emotion Classification
University College London
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2026 Autism Open Access Peer-Reviewed
Discrepancies between feeling and expressing: Perceptions of autistic and non-autistic emotional expressions by non-autistic observers
University of Texas at Dallas
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2026 Social Science Quarterly Open Access Peer-Reviewed
Voters’ Facial Expression Analysis as a Complement to Traditional Election Polls: Affective Voting in Spanish National Elections in 2023
Universidad Rey Juan Carlos + 1 more
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2026 Self Published Open Access
Real-time Facial Communication Restores Cooperation After Defection in Social Dilemmas
New York University Abu Dhabi
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2025 Brain-Computer Interface – Bridging Technology, Education, and Ethics Open Access Peer-Reviewed
Brain Interfacing, as a Key for Improving Human–technology Integration, Cases and Implementations
Tecnologico de Monterrey
Explore AI-driven Emotion Recognition
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AI-Driven Emotion Recognition 101: All About Emotion Detection and Affectiva’s Emotion Metrics
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What Drives Affectiva’s Facial Expression Analysis Tools? The World’s Largest Emotional Database!
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The Role of Attention and Engagement in Creative Effectiveness
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Deadpool & Wolverine – Balancing on the Emotional Edge with Facial Coding





