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# Changelog | ||
All notable changes to this project will be documented in this file. | ||
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The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/) (+ the Migration Guide), | ||
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). | ||
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/) (+ the Migration Guide and | ||
Scientific Changes section), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). | ||
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For more information see the | ||
[Github Releases Page](https://github.com/mad-lab-fau/gaitmap/releases) of this | ||
project. | ||
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## [2.8.0] - 2024-05-07 | ||
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- Testing using Snapshots | ||
- Recent Models for Random Forest Spatial Parameter using Static Gravity Alignment based on accelerometer. | ||
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[![PyPI](https://img.shields.io/pypi/v/eargait)](https://pypi.org/project/eargait/) | ||
[![Documentation Status](https://readthedocs.org/projects/eargait/badge/?version=latest)](https://eargait.readthedocs.io/en/latest/?badge=latest) | ||
[![Test and Lint](https://github.com/mad-lab-fau/eargait/actions/workflows/test-and-lint.yml/badge.svg?branch=main)](https://github.com/mad-lab-fau/eargait/actions/workflows/test-and-lint.yml) | ||
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black) | ||
![PyPI - Downloads](https://img.shields.io/pypi/dm/eargait) | ||
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# EarGait - The Gait Analysis Package for Ear-Worn IMU Sensors ! | ||
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*EarGait* provides a set of algorithms and functions to process IMU data recorded with ear-worn IMU sensors and to | ||
estimate characteristic gait parameters. | ||
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<p align="center"> | ||
<img src="./docs/_static/logo/WalkingHearingAid.png" height="200"/> | ||
</p> | ||
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## Getting started | ||
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### Installation | ||
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Easily install `eargait` via pip: | ||
``` | ||
pip install eargait | ||
``` | ||
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or add it to your project with [poetry](https://python-poetry.org/): | ||
``` | ||
poetry add eargait | ||
``` | ||
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Newest version `1.2.0` should be installed. | ||
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### Prerequisites | ||
*EarGait* only supports Python 3.8 and newer. | ||
First, install a compatible version of Python. | ||
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### Help with setting up a virtual environment | ||
We recommend installing the packages in a virtual environment (e.g. conda/Anaconda/miniconda). | ||
For more information regarding Anaconda, please visit [Anaconda.com](https://docs.anaconda.com/anaconda/install/index.html). <br /> | ||
If you want to install the packages directly on the local python version, directly go to [Install Packages](#install-packages) <br /> | ||
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If you are familiar with virtual environments you can ``also use any other type of virtual environment. | ||
Furthermore, you can also directly install the python packages on the local python version, however, we would not recommend doing so. | ||
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**In PyCharm** <br /> | ||
See [documentation](https://www.jetbrains.com/help/pycharm/conda-support-creating-conda-virtual-environment.html). | ||
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**Shell/Terminal** <br /> | ||
First, verify that you have a working conda installation. Open a terminal/shell and type | ||
``` | ||
conda env list | ||
``` | ||
If an error message similar to the one below is displayed, you probably do not have a working conda version installed. | ||
``` | ||
conda: command not found | ||
``` | ||
In the shell/terminal: | ||
``` | ||
conda create --no-default-packages -n gait_analysis python=3.8 | ||
``` | ||
*gait_analysis* is the name of the virtual environment. This environment can now also be included in PyCharm, | ||
as described See [here](https://www.jetbrains.com/help/pycharm/conda-support-creating-conda-virtual-environment.html) | ||
by using the existing environment option. <br /> | ||
To check, whether the virtual environment has been created successfully, run again: | ||
``` | ||
conda env list | ||
``` | ||
The environment *gait_analysis* should now be displayed. <br /> | ||
Activate conda environment and install packages (see below). | ||
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``` | ||
conda activate gait_analysis | ||
``` | ||
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For more help: [Conda Documentation](https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html) | ||
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### Install Package in virtual environment | ||
If you are using the conda environment, activate environment (in shell/terminal) (see above). | ||
Update pip and install `eargait`. | ||
``` | ||
pip install --upgrade pip | ||
pip install eargait | ||
``` | ||
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## Check successful installation | ||
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To check whether the installation was successful, run the following line directly after installing `eargait` in the same shell/terminal: | ||
``` | ||
python examples/check_installation/check_installation.py | ||
``` | ||
Should return: `Installation was successful!` | ||
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## Learn More | ||
[Documentation](https://eargait.readthedocs.io/en/latest/), | ||
[User Guide](https://eargait.readthedocs.io/en/latest/guides/index.html#user-guides), | ||
[Coordinate Systems](https://eargait.readthedocs.io/en/latest/guides/index.html) | ||
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## Dev Setup | ||
We are using poetry to manage dependencies and poethepoet to run and manage dev tasks. | ||
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To set up the dev environment including the required dependencies for using EarGait run the following commands: | ||
``` | ||
git clone https://github.com/mad-lab-fau/eargait | ||
cd eargait | ||
poetry install | ||
``` | ||
Afterwards you can start to develop and change things. | ||
If you want to run tests, format your code, build the docs, ..., | ||
you can run one of the following poethepoet commands | ||
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``` | ||
CONFIGURED TASKS | ||
format | ||
lint Lint all files with Prospector. | ||
check Check all potential format and linting issues. | ||
test Run Pytest with coverage. | ||
docs Build the html docs using Sphinx. | ||
bump_version | ||
``` | ||
by calling | ||
``` | ||
poetry run poe <command name> | ||
``` | ||
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## Citing EarGait | ||
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If you use `Eargait` in your work, please report the version you used in the text. Additionally, please also cite the corresponding paper: | ||
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``` | ||
[1] Seifer et al., "EarGait: estimation of temporal gait parameters from hearing aid | ||
integrated inertial sensors." Sensors 23(14), 2023. https://doi.org/10.3390/s23146565. | ||
[2] PREPRINT Seifer et al., (2023). Step length and gait speed estimation using a hearing aid | ||
integrated accelerometer: A comparison of different algorithms. | ||
``` | ||
Links: <br /> | ||
[[1] Seifer et al., (2023), Temporal Parameter Paper](https://doi.org/10.3390/s23146565) <br /> | ||
[[2] Seifer et al., (2023); Spatial Parameter Paper](https://www.techrxiv.org/articles/preprint/Step_length_and_gait_speed_estimation_using_a_hearing_aid_integrated_accelerometer_A_comparison_of_different_algorithms/24182496) --> PREPRINT | ||
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## Acknowledgement | ||
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EarGait is part of a research project from the Machine Learning and Data Analytics Lab, Friedrich-Alexander Universität Erlangen-Nürnberg. The authors thank WS Audiology, Erlangen, Germany and Lynge, Denmark for funding the work and their support which made this contribution possible. | ||
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## Contribution | ||
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The entire development is managed via [GitHub](https://github.com/mad-lab-fau/eargait). | ||
If you run into any issues, want to discuss certain decisions, want to contribute features or feature requests, just | ||
reach out to us by [opening a new issue](https://github.com/mad-lab-fau/eargait/issues/new/choose). | ||
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