FACEACTIONS
Read the face. Quantify the feeling.
Real-time facial-expression analysis with quantified emotion, valence, and arousal — for research, UX testing, academic study, and content evaluation.
SESSION · #36
12.4s · 1 participant
EMOTION DISTRIBUTION
Valence
+0.42
Arousal
0.38
FACS · ACTION UNITS
AI summary · Predominantly positive engagement. Participant displays moderate happiness with brief surprise around 4–6s. No negative valence detected.
Designed for ethical, consent-based use.
Use is gated by our Acceptable Use Policy. Workplace surveillance, hiring decisions, educational assessment of individuals, law-enforcement applications, and clinical-grade medical use are prohibited. We require explicit subject-consent attestation at upload. Read the policy →
WHAT IT MEASURES
Quantified emotion. Per frame.
Eight emotion classes, valence, arousal, head pose, gaze, facial Action Units (FACS), and LLM-narrated summaries — all exportable.
8 emotion classes
Neutral · Happy · Sad · Angry · Surprised · Scared · Disgusted · Contempt
Valence + arousal
Continuous affect dimensions, frame-level, exportable
Head pose & gaze
Pitch / yaw / roll · eye state · gaze direction
FACS Action Units
Industry-standard facial muscle group activations
LLM narration
Natural-language session summary; per-speaker if multiple
Session-level export
CSV, JSON, video overlay — bring data into your stack
Multi-participant
Track multiple subjects in one video, separated by face ID
Quality flags
Per-frame confidence; low-confidence frames flagged
PERMITTED USES
Productive, ethical, evidence-based.
The use cases we built for. Anything outside this list, we'll discuss before activation — and some categories (clinical, hiring, surveillance) are off-limits regardless.
UX research
Moderated and unmoderated usability studies. Quantify reactions across cohorts.
Content evaluation
Test video and ad creative against measured viewer expression and arousal.
Academic research
Reproducibility-friendly export. Academic license available for university research groups.
Accessibility
Detect attention and emotional state for adaptive interfaces and assistive tools.
Market research
Focus-group reaction data, quantified and exportable.
Training & coaching
Self-paced practice playback for public-speaking, sales coaching, and interview prep — with consent.
ETHICS & APPROACH
Emotion AI, done thoughtfully.
Emotion-recognition AI is one of the most regulated AI subcategories in 2026. We designed FaceActions to lead with the right defaults — not retrofit them under regulatory pressure.
- ● EU AI Act — we do not enable workplace or educational emotion recognition.
- ● GDPR Art. 9 — facial biometrics treated as special-category data; explicit consent required at upload.
- ● BIPA / state biometric laws — consent flow logs subject attestation at every upload.
- ● No clinical use — we don't position FaceActions for medical diagnosis or telehealth, and we don't sign BAAs. If you need clinical-grade tools, we're not the right vendor.
- ● Calibrated language — we detect facial expressions associated with emotional states, not "emotions" as ground truth.
START
Ready for serious emotion research?
Talk to our research team. We'll walk through your use case, confirm fit, and get you onto a license that matches.