Our group welcomes Ole Gleixner as a scientific assistant during his master’s thesis. His project focuses on AI-supported insoles and automated analysis of foot scans and gait data.
A new master’s thesis project
Our group welcomes Ole Gleixner, who joins us as a scientific assistant in the context of his master’s thesis. Together with his colleagues, he focuses on the AI-supported and automated development of individual orthopedic foot insoles. The project is carried out in cooperation with REHA aktiv 2000 and integrates biomedical engineering, data analysis, and applied orthopedic technology.
Individual foot insoles can support comfort, mobility, and functional alignment. Their development often depends on detailed information about foot morphology and movement patterns. Ole’s project addresses this process by using digital data from foot scans and gait analysis. In this way, the work contributes to a more structured and data-driven approach to insole design.
From foot scans to biomechanical data
The project centers on the automated analysis of relevant morphological and biomechanical features. Foot scans provide information about individual foot shape, while gait analysis data describe movement-related characteristics during walking. Together, these data sources can help identify features that matter for selecting and adapting orthopedic insole models.
Ole investigates how artificial intelligence can support this analysis. The aim is to extract and evaluate relevant parameters in an automated way. These parameters then form the basis for choosing suitable insole models and adapting modular elements. By linking image-based and movement-based information, the project explores how AI-supported insoles can be developed with greater consistency and efficiency.
Welcome to the team
With this master’s thesis, Ole contributes to an applied research topic at the interface of biomedical engineering, biomechanics, and digital product development. The project also reflects the growing role of automated analysis methods in personalized medical and assistive technologies.
Our group is pleased to welcome Ole and looks forward to supporting his work during the coming months. His project adds a practical and application-oriented perspective to our student research environment. It also strengthens the connection between academic research and external development partners. We are happy to have him on the team and wish him a successful start with his master’s thesis on AI-supported insoles.
