Code Related to the Roman paper: "Automatic detection of human interactions from RGB-D data for social activity classification"
If you use the dataset or the code for your research, please cite our RO-MAN 2017 that describes the data collection in detail
@article{coppola2017automatic,
title={Automatic detection of human interactions from RGB-D data for social activity classification},
author={Coppola, Claudio and Cosar, Serhan and Faria, Diego R and Bellotto, Nicola and others},
year={2017},
publisher={IEEE}
}
The code relies on the usage of the UoL 3D Social Interaction Dataset described in https://lcas.lincoln.ac.uk/wp/research/data-sets-software/uol-3d-social-interaction-dataset/
The code is written in Matlab. To be able to run it, the dataset must be downloaded and the code configured.
The config file in the K2_Code folder has to be edited with the path of four elements:
- The folder where this repository is placed
- Path to the data folder ( in the dataset: [...]/uol_social_interaction_dataset/social_interaction_segmentation/extrated_data)
- Path to the csv annotation file
- Path to where the output files are going to be placed
To run the experiments, after the configuration, run the following code files:
k2_init
k2_hmm_full_crossvalidation
Take note that the parameters of the experiments can be configured in k2_hmm_full_crossvalidation.m