iKeleton OSC vs PoseTracker AI

An application capturing body tracking data and sending it to other devices using OSC, a protocol for networking sound synthesizers, computers, and other multimedia devices, to create multimedia content. Note: Body tracking functionality requires an A12 Bionic processor. This is limited to the iPhone X,iPhone XR, and any newer devices.

PoseTracker AI lets you experience PoseTracker’s real-time pose estimation directly on your iPhone before integrating it into your own product. No login, no setup – just install and start playing with the API. Switch between Live camera and Video upload to see how PoseTracker tracks movement in different contexts. The app renders a clean overlay with metrics so you can feel exactly what your users would see in a production app. Explore a built-in exercise library with ready-made logic for repetition exercises, static holds, and custom jump flows. PoseTracker counts reps, measures hold duration and evaluates form quality so you don’t have to design pose logic from scratch. For jumps, PoseTracker turns motion into numbers: air time, jump height and summaries over a session. You can enter a user’s height when needed, or run pure physics-based jump analysis. This demo shows exactly what you get from the PoseTracker API: pose estimation, exercise detection, jump analysis and per-frame metrics – all wrapped in a mobile-ready experience you can plug into your own app. What you can try in this app - Real-time pose estimation via the device camera - Video upload analysis for recorded workouts - Rep counting and form grading for dynamic exercises - Duration tracking for static holds (like planks or wall sits) - Jump analysis with air time and jump height metrics - A developer-friendly UI that mirrors a typical in-app integration