A video by Ashkan Nejad, ESR at Royal Dutch Visio and board member of the Machine Learning Lab of DASH, the Data Science Center in Health of the UMCG.
Topic: It is a challenge for people with visual field disorders to perform everyday tasks that depend on a good visual overview. To help people with such a condition, an essential step is to quantify their gaze behaviour. However, there are no accurate gaze event detectors suitable for use in dynamic natural conditions, limiting research in such environments. In this project, Ashkan aims to design a gaze event detector for conditions where free head and body movements are possible.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 955590
STARTING DATE: 01/03/2021
COMPLETION DATE: 28/02/2025