[MA 2025 08] Gait and Posture Assessment for Functional Health
MESH, 370 Sarphatistraat, 1018GW Amsterdam
Proposed by: Dr. Simon Haddadin (Medical Doctor, MESH Founder) [simon.haddadin@meshcare.co]
Introduction: MESH is an early-stage healthcare technology company seeking to deliver next-generation healthcare through AI diagnostics, robotics precision and human empathy. This SRP supports the development of SAPIEN, MESH’s AI-driven diagnostic platform. One of SAPIEN’s key components is the non-verbal functional intake layer, which evaluates movement patterns such as walking, sitting and postural shifts. Gait and posture contain valuable signals for assessing frailty, neurological dysfunction, fatigue, or pain states — all of which are relevant in both acute and preventive diagnostics.
Description of the SRP Project/Problem: Current diagnostic intake largely ignores motion as a clinical marker. In AI research it is nearly non-existent. This project builds a camera-based intake module using pose estimation and temporal feature extraction to assess mobility, symmetry, and signs of functional impairment from walking and resting movements.
Research questions:
1. Can pose-based movement features in every day tasks (e.g., stride asymmetry, arm swing, postural sway) be used to flag functional deficits?
2. Which models balance accuracy and deployability?
3. What is the minimum data required to reliably classify movement health categories?
Expected results
? Pose estimation model (2D or 3D) tailored to clinical intake tasks
? Movement classifier (binary or categorical health risk)
? Technical and clinical performance evaluation
? Prototype for MESH intake integration (clinic or mobile)
? Scientific report suitable for publication
Time period, please tick at least 1 time period
o November – June
o May – November
Preferred: Begin as working student asap and for academic period November 2025 – June 2026 (Full-time SRP).
Contact
External Organization: MESH R&D (Amsterdam, NL)
Clinical Supervisor: Dr. Simon Haddadin (Medical Doctor, MESH Founder)
Technical Supervisor: Denis Yakovlev, CTO
MESH core contact: simon.haddadin@meshcare.co
References
Autonomous swab robot for naso- and oropharyngeal COVID-19 screening | Scientific Reports
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