Movement analysis: from lab to clinical practice

The project will develop a user-friendly prototype that enables physiotherapists to collect, process and interpret movement data. Together with users, we will identify clinically relevant movement tasks and outcome measures, build an appropriate dashboard and conduct a small-scale evaluation of the integrated solution in everyday physiotherapy practice.

The application builds on existing, reliable markerless movement analysis technologies. In the longer term, the solution may support clinical decision-making and enable large-scale collection of reference data and data for prognostic research.

• Prioritised use cases and user requirements
•  A usable prototype for data collection and processing
• A selection of relevant movement tasks and outcome measures
• An integrated dashboard for clear data presentation
• Insights into user experiences from a practice-based pilot

Using Design Science Research, researchers, students, physiotherapists, patients and the technology partner work iteratively to identify use cases, prioritise requirements, develop a prototype, select relevant outcome measures, integrate the dashboard and test the solution in practice.

Physiotherapists will gain access to objective movement information without requiring a specialised movement laboratory. This can complement observation and strengthen diagnostic and evaluative decisions. Physiotherapy and ICT students collaborate on real use cases and learn to develop technology with users. For research, the project creates an accessible route for collecting standardised movement data as a basis for reference data and future prognostic studies.

1. Data collection prototype > Tool and method > User-friendly video-based collection and processing of movement data.

2. Movement analysis dashboard > Tool and visualization > Clinically relevant outcomes presented clearly and accessibly.

3. Practice pilot report > Report > User experiences, findings and recommendations from practice testing.

Babon Innovations and Fysio Westwijk participate as SME consortium partners. The proposal was submitted to the 2026 KIEM HighTech programme of Regieorgaan SIA.

1. What will this project develop?

A user-friendly and reliable method for video-based movement analysis, comprising a data collection prototype and a dashboard for interpretation by primary care physiotherapists.

2. Who will be involved in the development process?

Physiotherapy and ICT researchers and students will collaborate with physiotherapists, patients, Babon Innovations and Fysio Westwijk.

3. Is the application already a certified medical device?

No. This is an exploratory proof-of-concept project. Any development towards MDR certification will take place in follow-up projects.

4. How will research data be protected?

Research data will be stored securely in HU Research Drive. Videos will be processed in Babon's environment, while research data will be stored structurally at HU.

5. When will the solution be tested in practice?
The small-scale practice test is scheduled for months 10 to 12 of the project.

SDG 3 Good Health and Well-being
SDG 9 Industry, Innovation and Infrastructure