*Eargait* provides a set of algorithms and functions to process IMU data recorded with ear-worn IMU sensors and to estimate characteristic gait parameters.
Project description
Eargait - The Gait Analysis Package for Ear-Worn IMU Sensors !
Eargait provides a set of algorithms and functions to process IMU data recorded with ear-worn IMU sensors and to estimate characteristic gait parameters.
analyze your IMU data recorded with hearing aid integrated IMU sensors.
(Link for docs online is currently not working)
Getting started
Prerequisites
Eargait only supports Python 3.7 and newer. First, install a compatible version of Python.
Set up athe the virtual environment
We recommend installing the packages in a virtual environment (e.g. conda/Anaconda).
For more information regarding Anaconda, please visit Anaconda.com.
If you want to install the packages directly on the local python version, directly go to Install Packages
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.
In PyCharm
See documentation.
Shell/Terminal
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
by using the existing environment option.
To check, whether the virtual environment has been created successfully, run again:
conda env list
The environment gait_analysis should now be displayed.
Activate conda environment and install packages (see below).
conda activate gait_analysis
For more help: Conda Documentation
Install Packages
If you are using the conda environment, activate environment (in shell/terminal) (see above). You can also install the packages directly on the local python version of the computer.
Update pip
pip install --upgrade pip
signialib
Within the shell/terminal, go to the Signia directory by
cd my_local_path/signialib
my_local_path should be changed to the local path of the computer, where the Signia package is saved.
Then install the package with:
pip install .
eargait
Change to the local directory of Eargait with:
cd my_local_path/eargait
Then install the package with:
pip install -e .
Check successful installation
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!
Poetry Environment
If you are using poetry and want add the package to you existing poetry environment, run:
poetry add eargait
Dev Setup
We are using poetry to manage dependencies and poethepoet to run and manage dev tasks.
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
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>
Contribution
The entire development is managed via GitHub. 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.
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