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The project is co-funded by the European Union through the Competitiveness and Cohesion Program 2021-2027.
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Modeling and analysis of personalized and optimal movement patterns in rehabilitation, sports and fitness using artificial intelligence (AI)
This project aims to address a key challenge: the lack of precise and personalized methods for movement analysis and optimization. In rehabilitation, this gap leads to protocols with limited effectiveness, while in sports and fitness it results in insufficient injury prevention and poor training adaptation. The project starts from the recognition that optimal movement is not universal, but rather an individually tailored and dynamic compromise among performance, efficiency, and safety. Standardized approaches that rely on population norms often fail to recognize complex individual differences in anthropometry, functional abilities, and motor strategies. As a result, recovery outcomes vary and injury risk increases. The project is therefore based on the convergence of artificial intelligence (AI) and computer-aided sensor systems, which enable the modeling and analysis of movement patterns at the individual level. Kinesiological and rehabilitation measurements allow the collection of a range of parameters: joint kinematics (angles, velocities, amplitudes), kinetics (torques and reaction forces), neuromuscular activation (EMG signals), and functional and physiological indicators.
The goal is to establish an interdisciplinary research platform that connects rehabilitation, kinesiology, and engineering sciences to develop artificial intelligence (AI) models for personalized analysis of movement patterns. The project will scientifically validate the models across diverse populations, improve movement monitoring and analysis procedures, and lay the foundation for innovative digital tools. Through intensive collaboration between scientists and business experts, the project will develop a solution that will raise the Technology Readiness Level (TRL) from the experimental phase to the proof-of-concept level.
Public call: Collaborative scientific research
Project name: “Modeling and analysis of personalized and optimal movement patterns in rehabilitation, sports and fitness using artificial intelligence (AI)”
Project code: PK.1.1.13.0032
Total value of the project: 880.868,84 EUR
Grants: 810.169,66 EUR
Implementation period: 1.6.2026 – 31.5.2029
Contact: University of Zagreb Faculty of Education and Rehabilitation Sciences | https://www.erf.unizg.hr | tel +385 1 245 7500