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

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.

Smart Wheelchair Control Based on Spatial Features of Hand Gesture.

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.

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