Data Driven Comfort
Designing the future of automotive seating
Course
Future Mobility
Main Deliverables
Research Paper
Expertise areas
Technology & Realization, Math, Data & Computing; Technology & Realization
Date
June 2026
Current seat design approaches rely heavily on simplified joint-angle definitions, failing to capture the natural 3D shape variability across different users. To build a more accurate foundation, geometric data was collected from 33 participants in research-backed neutral body postures, generating 66 highly detailed surface scans.
Transforming this raw data into a usable format required a robust mathematical approach. A non-rigid registration pipeline was utilized to establish exact point-to-point correspondence across scans. This critical alignment enabled the aplication of a principal component analysis to map out the core patterns of human shape variation.
The culmination of the project is a computational program capable of capturing and recreating complex 3D body shapes using only a small number of adjustable parameters and can be used to design chairs that accomodate a wide range of body shapes from 5th to 95th percentile of the dutch population.
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Jakub Woziwodzki