The research in the area concerns problems of the computer-assisted analysis of time series data. It is mainly focused on exploring discriminative traits and applies machine learning techniques.
There are two leading branches of the works conducted at the university. They are related to skeleton-based motion capture data registering human movements and eye-tracking that measures eye positions.
The analysis of such data is challenging, in most cases, infeasible to be performed by a human. It often takes long, high frequency, multivariate, and even multimodal time series.