humolire
HuMoLiRe is a Pedestrian Dead-Reckoning Particle Filter Map-aided system that leverages human motion likelihood in indoor spaces to estimate their position. This repository is the dataset and software published with its paper.
Science Score: 67.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 1 DOI reference(s) in README -
✓Academic publication links
Links to: ieee.org -
○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (13.3%) to scientific vocabulary
Keywords
Repository
HuMoLiRe is a Pedestrian Dead-Reckoning Particle Filter Map-aided system that leverages human motion likelihood in indoor spaces to estimate their position. This repository is the dataset and software published with its paper.
Basic Info
- Host: GitHub
- Owner: anisghaoui
- Language: Python
- Default Branch: main
- Homepage: https://humolire.readthedocs.io/en/latest/
- Size: 47.1 MB
Statistics
- Stars: 24
- Watchers: 1
- Forks: 3
- Open Issues: 1
- Releases: 0
Topics
Metadata Files
README.md
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.
Owner
- Name: Anis GHAOUI
- Login: anisghaoui
- Kind: user
- Repositories: 11
- Profile: https://github.com/anisghaoui
Doctor of science of Paris-Saclay Univ. Signal processing, indoor localisation, data fusion. Also interested in embedded systems and computer architecture.
Citation (CITATION.cff)
cff-version: 1.1.0
message: "This repository is published with citation belwo and its paper."
authors:
- family-names: GHAOUI
given-names: Mohamed Anis
orcid: https://orcid.org/0000-0003-1942-4949
title: Human Motion Likelihood Representation Map-Aided PDR Particle Filter
journal: IEEE Sensors Journal
version: v1.0
doi: 10.1109/JSEN.2022.3222639
date-released: 2022-11-21
url: "https://github.com/anisghaoui/humolire"
GitHub Events
Total
- Watch event: 6
Last Year
- Watch event: 6
Committers
Last synced: about 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Anis GHAOUI | m****i@m****m | 25 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: about 2 years ago
All Time
- Total issues: 0
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- Fullmoon34213 (1)
- panlongming (1)