Virtual keyboard and mouse control using gesture recognition and machine learning

Supervisor:

Asst.Prof. MADHU K

Team Members

Anirudh K (STM19CS012)
Rithik (STM19CS045)
Sarang M K (STM19CS049)
Amal Raveendran(LSTM19CS061)

Description

The proposed system will require only a webcam as an input device. As a
result, the suggested virtual keyboard and mouse system eliminates the
need for additional input device.
In the existing system mouse control uses a convex hull process for its
working.
But the Convex Hull algorithm can cause problem if another external noise
or defect is detected in the working domain of webcam.
hand landmark model with key point detection drastically reduces the need
for data augmentation.
Thus create a low latency input to the computer which is essential for an
input device.