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Upgraded-Hand-Gesture-Recognition-System

More efficient way for gesture recognisition through webcam for realtime dynamic detection and through upload of an image for static gesture detection.

Created on 9th June 2024

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Upgraded-Hand-Gesture-Recognition-System

More efficient way for gesture recognisition through webcam for realtime dynamic detection and through upload of an image for static gesture detection.

The problem Upgraded-Hand-Gesture-Recognition-System solves

This project helps the people with temporary or permanent disabilities, especially those with limited ability to perform various tasks with their hands.
Lets consider few scenarios:

  1. A scenario where a person encounters a significant setback as a tragic accident severely diminishes their hand dexterity, rendering her unable to perform daily tasks that require precise hand movements.
  2. A scenario where a participant who knows sign language joins an online meeting. With our hand gesture recognition system, their gestures are instantly translated into spoken language or text, enabling seamless communication for all participants.
  3. In the journey of rehabilitation, individuals like retired military veteran, face formidable challenges due to combat-related injuries affecting their arm and hand mobility. Despite extensive therapy efforts, achieving independence in daily activities remains elusive.

One of the innovative feature of this project is the menu-driven option to choose between webcam and upload.
Also the use of relative coordinates fixing the wrist point (index 0) as the base x and base y coordinates for enhanced and tuned detection of gestures both dynamically and statically.

Challenges we ran into

  1. Tuning the frame rates
  2. Tuning the accuracy
  3. Making it flexible for majority variations of hand gestures
  4. Background subtraction and light barriers

Discussion

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