This repo contains code implementation from paper "Automated identification of social interaction criteria in Drosophila melanogaster"
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Updated
Jun 21, 2023 - Python
This repo contains code implementation from paper "Automated identification of social interaction criteria in Drosophila melanogaster"
Behaviour and Social Interaction Statistics
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
Code for "Nonlinear, Natural, and Noisy: A Quantitative Approach to the Collection and Analysis of Real-World Social Behavior" (Chiovaro & Paxton, under review).
CashMate is a comprehensive money management app that combines security, customization, and insightful features. Whether you’re tracking daily expenses or planning for the future, CashMate has you covered!
Detect and indicate raised hands in Microsoft Teams meetings using computer vision pattern matching
We introduce a novel trajectory predictor that considers social interactions among agents, maintaining spatial-temporal information over an extended temporal horizon. It achieves high accuracy, generalisability, and outperforms recent SOTA algorithms on NGSIM and HIGHD Datasets
Implementation of Arc-LSTM-SMF model, and its standalone parts, to the task of pedestrian trajectory forecast
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
Agent-based model investigating how social interactions can result in self-organized behavioral specialization and social network structure.
[ECCV 2022 Oral] Official Implementation of "Social-SSL: Self-Supervised Cross-Sequence Representation Learning Based on Transformers for Multi-Agent Trajectory Prediction"
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.
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