Categoria: Swimming

Our research group combines advanced biomechanical analysis with sophisticated mathematical and computational modeling to redefine the study of swimming performance. By employing a multidisciplinary approach that includes 3D video analysis, drag measurement systems, and AI-driven computer vision tools for disciplines like Artistic Swimming, we gain fundamental insights into aquatic propulsion.
A core area of our work is the discovery and validation of hidden time-harmonic structures and self-similarity in all four competitive strokes—Front Crawl, Breast-stroke, Back-stroke, and Butterfly—using Generalized Fibonacci sequences and the Golden Ratio. Furthermore, our research rigorously determines critical performance parameters, such as the propulsive force and effective propulsive arm area during the front crawl stroke.
The application and analysis of data collected via these unique systems and mathematical frameworks have yielded fundamental findings, which are summarized in our key publications below: