Post by EmoPulse

We just open-sourced our architecture story. EmoPulse extracts 47 biometric parameters from a standard browser camera. No wearables. No cloud. No special hardware. Here's what most people don't know — you can read a human heartbeat from a webcam. Every heartbeat pushes blood through your capillaries. That causes micro-color changes in your skin. Invisible to the eye. Detectable by a camera sensor. Our PulseSense™ algorithm: → Isolates forehead and cheek regions → Extracts RGB values per frame → Applies bandpass filtering (42–240 BPM range) → Runs FFT to find dominant frequency → Outputs BPM + HRV in real time All running in JavaScript. In your browser. At 30 FPS. This is one of 47 parameters EmoPulse measures — including stress, micro-expressions, cognitive load, gaze stability, voice emotion, and authenticity scoring. We wrote the full technical breakdown: 🔧 https://lnkd.in/dSc6xNTc Two patents filed. Third in preparation. Currently raising €500K–€2M seed. Try it live → emopulse.app #EmoPulse #EmotionAI #rPPG #EdgeAI #BiometricAI #TensorFlowJS #DeepTech #ComputerVision #Startup #AI