Design of Human Machine Interface through vision-based low-cost Hand Gesture Recognition system based on deep CNN with transfer-learning approach. (arXiv:2207.03112v1 [cs.CV])

In this work, a real-time hand gesture recognition system-based
human-computer interface (HCI) is presented. The system consists of six stages:
(1) hand detection, (2) gesture segmentation, (3) use of six pre-trained CNN
models by using the transfer-learning method, (4) building an interactive
human-machine interface, (5) development of a gesture-controlled virtual mouse,
(6) use of Kalman filter to estimate the hand position, based on that the
smoothness of the motion of pointer is improved. Six pre-trained convolutional
neural network (CNN) models …

arxiv cnn cost cv design gesture recognition human learning machine transfer vision