eargait 0.2.0

*Eargait* provides a set of algorithms and functions to process IMU data recorded with ear-worn IMU sensors and to estimate characteristic gait parameters.

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.