EmotionCrowd captures the physiological frequency of crowds — breathing, tension, shared joy — and aggregates them into deployable affective engines for robotics, games, and AI agents.
Non-invasive bio-metric arrays record respiration, vocal tonality, and micro-gestural sync across stadium-sized populations.
Raw streams pass through our affective parser, isolating the crowd's shared pulse from individual noise.
Each emotion is compiled into a versioned JSON tensor, callable from Unity, Unreal, ROS, PyTorch, or any HTTP client.
Browse 1,240+ verified crowd datasets. Stream-ready.
Three markets, one feed. Pick a pack, ship it through our SDK, and your system starts reading the room.
Industrial and social robots typically lack behavioral nuance. License Tension Arena and your units adapt motion speed to ambient human stress — reducing workplace anxiety on factory floors and in eldercare.
Inject real crowd dynamics into multiplayer arenas. Festival Surge fuels victory celebrations; Panic Evacuation drives believable horror sequences. Drop in via the Unity/Unreal SDK.
Modern agents are emotionally flat. EmotionCrowd packs supply structured affective tensors so your model can mirror, escalate, or de-escalate — therapeutic bots, support agents, companion AIs.
Stream live affective tensors into your runtime in under five lines. Built for real-time inference, edge robotics, and headless agent loops.