WBB Resampler

This application resamples data files in Nintendo Wii Balance Board (WBB) format using a specified resampling method (SWARII). It is designed with a simple GUI to select input and output folders and process files.

Prerequisites

Before you install the application, make sure you have the following:

• Python 3.6 or higher
• PyQt5 library for the GUI
• NumPy for data handling
• resampling package for data resampling (or make sure the custom SWARII class is installed and accessible)

Installation & Update

1. Open the terminal, Command Prompt, or PowerShell (Windows).

2. Clone the repository:

   git clone https://github.com/derwesx/WBB-Resampler.git
   cd WBB-Resampler

3. To update the repository:

   cd WBB-Resampler
   git pull

For Linux/Mac

3. Run the installation script:

# Detect the OS and install accordingly
OS="$(uname -s)"

case "$OS" in
    Linux*)
        echo "Detected Linux. Running installation..."
        chmod +x ./install/install_linux.sh
        ./install/install_linux.sh
        ;;
    Darwin*)
        echo "Detected macOS. Running installation..."
        chmod +x ./install/install_mac.sh
        ./install/install_mac.sh
        ;;
    *)
        echo "Unsupported OS: $OS"
        exit 1
        ;;
esac

For Windows

3.1. Download & Install Python

Python 3.11

Don't forget to add python to PATH

3.2. Run the installation script:

.\install\install_windows.bat

This will install the required dependencies for running the application.

Usage

Once installed, run the application using the following command:

cd app
python3 main.py

or

cd app
python main.py

References

Audiffren, J., & Contal, E. (2016). Preprocessing the Nintendo Wii Board Signal to Derive More Accurate Descriptors of Statokinesigrams. Sensors (Basel), 16(8), 1208. https://doi.org/10.3390/s16081208. PMID: 27490545; PMCID: PMC5017374.