https://github.com/mariam-zaidi/gesture_recognition_model

Deep learning model to recognize gestures
https://github.com/mariam-zaidi/gesture_recognition_model

3dconv cnn-rnn keras lstm neural-networks tensorflow

Last synced: 5 months ago
JSON representation

Deep learning model to recognize gestures

• Host: GitHub
• URL: https://github.com/mariam-zaidi/gesture_recognition_model
• Owner: Mariam-Zaidi
• Created: 2024-09-16T03:23:17.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2024-09-16T03:32:50.000Z (almost 2 years ago)
• Last Synced: 2025-01-22T11:39:36.658Z (over 1 year ago)
• Topics: 3dconv, cnn-rnn, keras, lstm, neural-networks, tensorflow
• Language: Jupyter Notebook
• Homepage:
• Size: 15.2 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
# Gesture_recognition_model

To develop a smart-TV that can recognise five different gestures performed by the user which will help users control the TV without using a remote.

The gestures are continuously monitored by the webcam mounted on the TV. Each gesture corresponds to a specific command:

Thumbs up:  Increase the volume

Thumbs down: Decrease the volume

Left swipe: 'Jump' backwards 10 seconds

Right swipe: 'Jump' forward 10 seconds 

Stop: Pause the movie