HuMoLiRe

Example of trajectory

Citation

This dataset and software are related to the following publication in the IEEE Sensors journal. Please cite using the following:

@ARTICLE{ghaouihumolire,
author={Ghaoui, Mohamed Anis and Vincke, Bastien and Reynaud, Roger}, 
journal={IEEE Sensors Journal},   
title={Human Motion Likelihood Representation Map-Aided PDR Particle Filter},  
year={2023},  
volume={23},  
number={1},  
pages={484-494},  
doi={10.1109/JSEN.2022.3222639}}

IEEE page

Introduction

This program runs on python3.8+. It is recommanded to use PyCharm. (it can easily be turned into older version by editing every print(f"{variable=})" call)

Entry point is main.py. generate_figures.py is used to recreate the figures mentionned in the article.

Requirements

requirements.txt lists:

• numpy~=1.21
• matplotlib~=3.3.3
• scipy~=1.5.4
• AHRS~=0.3.0
• imageio~=2.9.0
• tqdm~=4.51.0
• opencv-python~=4.5.1.48

Optional:

• adjustText~=0.7.3 , is used to place the purple numbers automatically
• requests~=2.22.0 , is used to send an SMS when the program is finished

Folder structure:

.
├── data
├── docs
├── humolire
├── map_editor
├── README.md
├── requirements.txt
└── tests

Documentation:

There are many README.MD files in the folders about. The main entry point is main.py. There is a beginning of documentation at read the docs. I don't have much time. If you want to help in documentation, I would be immensely grateful.

Contribution:

• If you have a research question, please reach me by email: mohamed-anis.ghaoui@universite-paris-saclay.fr
• If you have a question about the code, open an issue
• If you wanna help documenting (I lack the time and skills to do that correctly), open an issue. Thank you!

LICENSE

Humolire Dataset and Software by Anis GHAOUI is licensed under a Creative Commons Attribution 4.0 International License.