The Real-Move Proof of Concept (POC) addresses the limitations of traditional motion capture systems, which depend on markers, suits, or wearable sensors that add complexity, cost, and usability barriers, making them impractical for large-scale or everyday deployment. These technologies often require lengthy setup, compromise user comfort, and lack the flexibility needed for real-world environments such as clinics, sports arenas, workplaces, or industrial settings.
Our goal is to deliver an AI-based, markerless solution capable of tracking human motion in dynamic environments with high accuracy, robustness, and efficiency. Real-Move combines multi-camera inputs with learning-based pose estimation algorithms to reconstruct 3D human motion in real time. This design eliminates wearability and setup challenges, while a weighted multi-score reconstruction methodology ensures resilience to occlusions and accurate multi-person tracking. The modular use of standard RGB cameras makes the system both scalable and cost-effective, overcoming the barriers of current motion capture technologies.
Beyond raw skeletal tracking, Real-Move provides application-ready insights such as ergonomic indicators, gait and posture analysis, joint movement tracking, and activity recognition (e.g. walking, falling, gesturing). These outputs are designed to be directly usable by practitioners and organizations without requiring motion capture expertise, opening the way to adoption in fields as diverse as rehabilitation, sports performance, workplace safety, and human–robot interaction.
Real-Move builds on the experience of the ERC StG Ergo-Lean project (GA. 850932), which highlighted the shortcomings of existing systems when applied to ergonomics in human–robot–environment interaction. While tolerable in research labs, the limitations of current solutions proved unacceptable in real-world contexts. Real-Move emerged as a response to this challenge, aiming to create a truly practical, markerless motion tracking platform. Through this POC, the project seeks to raise the technology readiness level (TRL), validate the system across domains, and prepare for market adoption, establishing Real-Move as the first robust, scalable, and real-time 3D motion capture solution designed for wide impact.
