CORDIS Project
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This project develops artificial intelligence methods to predict human errors from video data, focusing on unintentional actions. It aims to provide real-time feedback through auditory signals to guide users and prevent errors before they occur, ultimately reducing the economic and social costs associated with human mi…
Human errors remain the main source of incidents.
They can lead to fatalities, traffic accidents, or product defects and cause high economic and social cost.
While some errors can still be corrected if they are detected in time, many human errors cause high costs as soon as they occur or are even irreversible.
In these cases, it is very important to recognize human errors before they occur.
The goal of this project is therefore to develop methods based on artificial intelligence that forecast hu…
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