A selection of state-of-the-art research materials on trajectory prediction

NOVA is a tool for annotating and analyzing behaviours in social interactions. It supports Annotators using Machine Learning already during the coding process. Further it features both, discrete labels and continuous scores and a visuzalization of streams recorded with the SSI Framework.

In this repository, one can find the code for my master's thesis project. The main goal of the project was to study and improve attention mechanisms for trajectory prediction of moving agents.

Code for "Nonlinear, Natural, and Noisy: A Quantitative Approach to the Collection and Analysis of Real-World Social Behavior" (Chiovaro & Paxton, under review).

Two million face-touching behavior annotations collected during social interactions & Code of several methods to detecting face-touch

Behaviour and Social Interaction Statistics

Team neural dynamic analysis during cooperation and competition with EEG

This is a prototyping guide of ‘Q and I’ concept for the DDP005 Social Interactions with Shared Systems at the Eindhoven University of Technology.