Collaborating with I Gusti Ngurah Agung Hari Vijaya Kusuma, this project involves training a CNN model with a dataset of hand movement pose. Real time predicted pose will then used to control wheelchair movement.
PyPi version
Please use seperate folder for training and control. venv setup for training
python --version
python -m venv nama_venv
nama_venv\Scripts\activate
pip install opencv-python
pip install mediapipe
pip install numpy
pip install matplotlib
pip install tensorflow
The training file include process of collecting dataset. Please modify for each class image data folder. Example :
CreateDataSet(0, "Berhenti", DirektoriDataSet)
Actually, you need an ESP32 and the wheelchair to run it.
python --version
python -m venv nama_venv
nama_venv\Scripts\activate
pip install mediapipe
pip install opencv-python
- Optimized hand gestures for controlling the wheelchair.
- A lightweight and user-friendly system.