A selection of state-of-the-art research materials on trajectory prediction
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Updated
May 7, 2024 - TeX
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.
Python controller for Pepper humanoid robot. It allows to write apps in Python. There are examples of simple applications for Pepper. We develop GUI to operate the robot and run custom apps
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.
[ECCV 2022 Oral] Official Implementation of "Social-SSL: Self-Supervised Cross-Sequence Representation Learning Based on Transformers for Multi-Agent Trajectory Prediction"
Agent-based model investigating how social interactions can result in self-organized behavioral specialization and social network structure.
Two million face-touching behavior annotations collected during social interactions & Code of several methods to detecting face-touch
A Lightweight Residual Graph CNN for Pedestrians Trajectory Prediction
Implementation of Arc-LSTM-SMF model, and its standalone parts, to the task of pedestrian trajectory forecast
Behaviour and Social Interaction Statistics
This repo contains code implementation from paper "Automated identification of social interaction criteria in Drosophila melanogaster"
VR rooms for social activities for seniors.
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.
Gamified version of a referential communication task described in https://doi.org/10.1044/2018_JSLHR-H-18-0107
Repository for the Sociotechnological Interaction course sprints
Detect and indicate raised hands in Microsoft Teams meetings using computer vision pattern matching
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