Physical AI Training Data

Biometric Human-Centric Data

Ethically sourced biometric and human-centric training data, gaze, gesture, pose, and facial data with full consent frameworks for responsible AI development.

AI systems that understand, assist, and interact with humans must be trained on data that captures how humans look, move, express, and behave. Appen's human-centric AI data service provides ethically collected and precisely annotated biometric and behavioural datasets, from facial expression and gesture annotation to gaze tracking and full-body motion capture, that teach AI to understand the humans it is designed to serve.

All collection operates under rigorous consent frameworks, regional data protection compliance, and ethical review protocols appropriate for sensitive biometric data.

What Appen Delivers

Facial Expression and Action Unit Annotation

Labeling of facial expressions using the Facial Action Coding System (FACS) and category-based emotion labels across diverse demographic groups. Facial annotation collected from a demographically balanced contributor base is the foundation of emotion AI systems that perform equitably across the populations they serve.

Gaze and Attention Tracking Data

Eye movement recordings and gaze direction annotations for retail attention analytics, UX evaluation, driver monitoring, and AR/VR interaction systems. Gaze data collection includes fixation, saccade, and dwell time annotation from calibrated eye-tracking hardware.

Gesture and Sign Language Data

Hand gesture annotation for touchless interface control, signed language recognition, and human-robot interaction. Collection encompasses both referential gestures in spontaneous conversation and controlled gesture vocabularies for interface training data.

Full-Body Motion Capture

Skeletal pose estimation datasets and motion capture recordings for robotics imitation learning, sports analytics, physical therapy AI, and egocentric human motion for humanoid robot training. Appen deploys field collection teams for in-environment motion capture that reflects real activity conditions.

Ethics and Consent in Biometric Data

Biometric data collection requires a higher standard of consent, participant rights, and data governance than general annotation work. Appen's ethical data collection framework covers informed consent documentation, right-to-withdraw procedures, data minimisation practices, and regional compliance for GDPR, CCPA, and sector-specific biometric regulations.

We recommend legal review of deployment context before publishing pages that describe specific biometric collection capabilities.