AgungHari/Smart-Wheelchair-Control-Based-on-Spatial-Features-of-Hand-Gesture

Collaborating with Rasyeedah binti Mohd Othman, 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.

Smart Wheelchair Control Based on Spatial Features of Hand Gesture.

🚀Collaborating with Rasyeedah binti Mohd Othman, 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.

🎬 Demo

🔨 Installation

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

🍿 Features

• Optimized hand gestures for controlling the wheelchair.
• A lightweight and user-friendly system.

Authors