The realtime hand motion recognition under unconstrained environment is a challenging
computer vision problem. The change in illumination and non-uniform background condition …

The most effective and accurate deep convolutional neural network (faster region‐based
convolutional neural network (Faster R‐CNN) Inception V2 model, single shot detector …

Hand gesture is a communication tool that allows messages to be conveyed, actions to be
performed through hand gestures. Hence, it has the ability to simplify communication and …

The performance of Hand Gesture Recognition (HGR) depends on the hand shape.
Segmentation helps in the recognition of hand gestures for more accuracy and improves the …

Due to the problem of low accuracy and robustness of traditional hand gesture recognition,
we propose a hand gesture recognition algorithm based on Faster R-CNN, which is evolved …

Deep learning research has gained significant popularity recently, finding applications in
various domains such as image preprocessing, segmentation, object recognition, and …

In this paper, we propose a novel, real-time dynamic hand gesture recognition framework
using convolutional neural network with depth and RGB data fusion. Hand gestures are a …

The real-time perception of hand gestures in a deprived environment is a demanding
machine vision task. The hand recognition operations are more strenuous with different …

Gestural communication is a type of nonverbal communication in which visible body
gestures are utilised to communicate vital messages, either in place of speech or in …

Hand gestures can be used as a modern technique to interact with machines. Hand gesture
recognition has been an interesting research area in computer vision. In this paper, an …