AI at the edge: From movement models to neurological outcome

Aims of the project:
- To develop state-of-the-art models that extract human pose using AI from in-hospital video streams

- To characterise the temporal component of human movement using recurrent and graph neural networks

- Understand the causal relationships between movement models and brain imaging features

- Jointly use movement models,…