Authors :
R.Vasavi; Nenavath Rahul; A Snigdha; K. Jeffery Moses; S.Vishal Simha
Volume/Issue :
Volume 7 - 2022, Issue 12 - December
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3VPGmGU
DOI :
https://doi.org/10.5281/zenodo.7514430
Abstract :
The main objective of this project is that the
hand gesture recognition can also be utilised in
applications including industrial automation control,
sign language interpretation, and rehabilitation
equipment for individuals with physical disabilities of
the upper extremities. And it is also find applications in
varied domains like virtual environments, medical
systems, smart surveillance etc. Hand gesture
recognition is most significant for human-computer
interaction. Gesture Recognition is a technique that uses
mathematical algorithms to recognise human gestures.
Gesture recognition identifies the hand, monitors hand
motions, and also reports on the hand's orientation and
finger flow. The user's fingers are tipped with colour
markers. The color markers are placed at the tip of the
user fingers. The drawing application allows the user to
draw by tracking the fingertip movements of the user’s
index finger. The existing system has hand gesture
recognition serves as a key for overcoming many
difficulties and providing convenience for human life.
This number recognition through hand gestures project
recognizes the numbers from 0-9 according to the
gestures of hand.
Keywords :
Hand Gesture Recognition, Computer Vision, Paint, Media Pipe, OpenCV
The main objective of this project is that the
hand gesture recognition can also be utilised in
applications including industrial automation control,
sign language interpretation, and rehabilitation
equipment for individuals with physical disabilities of
the upper extremities. And it is also find applications in
varied domains like virtual environments, medical
systems, smart surveillance etc. Hand gesture
recognition is most significant for human-computer
interaction. Gesture Recognition is a technique that uses
mathematical algorithms to recognise human gestures.
Gesture recognition identifies the hand, monitors hand
motions, and also reports on the hand's orientation and
finger flow. The user's fingers are tipped with colour
markers. The color markers are placed at the tip of the
user fingers. The drawing application allows the user to
draw by tracking the fingertip movements of the user’s
index finger. The existing system has hand gesture
recognition serves as a key for overcoming many
difficulties and providing convenience for human life.
This number recognition through hand gestures project
recognizes the numbers from 0-9 according to the
gestures of hand.
Keywords :
Hand Gesture Recognition, Computer Vision, Paint, Media Pipe, OpenCV
