AI for assessing children with Cerebral Palsy


Unilateral cerebral palsy is the most common neurological chronic disease in childhood, with a significant burden on children, their families and health care system.  AInCP aims to develop evidence-based clinical Decision Support Tools for personalized functional diagnosis, Upper Limb assessment and home-based intervention for children with unilateral cerebral palsy, by developing, testing and validating trustworthy Artificial Intelligence tools.

AInCP objectives

The role of Noldus

Noldus will develop an observation module for multi-modal monitoring of the children. The module will integrate data from eye tracking and other sensors with audio-video streams.

More information

To find out more, you can contact us directly. If you think Noldus might be a good partner for your consortium, please see here.


The project is led by the University of Pisa and there are ten other universities and companies involved.


AInCP is funded as part of the European Union’s Horizon Europe program (grant number 101057309). 

European Commission logo for in text

AInCP temp logo