As the need for sensors increases with the inception of virtual reality, augmented reality and
mixed reality, the purpose of this paper is to evaluate the suitability of the two Kinect devices …

This paper proposes a gesture recognition method using convolutional neural networks. The
procedure involves the application of morphological filters, contour generation, polygonal …

Sign language recognition (SLR) plays a crucial role in bridging the communication gap
between individuals with hearing impairments and the auditory communities. This study …

Recently, the recognition of human hand gestures is becoming a valuable technology for
various applications like sign language recognition, virtual games and robotics control …

In recent years, the demand for gesture recognition has increased enormously due to many
applications such as computer games, human-robot interaction, assistance systems, sports …

In this paper, a method for the recognition of static hand postures based on skeletal data
was presented. A novel descriptor was proposed. It encodes information about distances …

This research work emphasizes the utilization of machine learning and convolution neural
network (CNN) to recognize hand gesture lively, in spite of variations in hand sizes and …

In this research paper, deep learning based static sign language recognition system is
developed for Gujarati (an Indian) language. Total population of Gujarat State is more than 6 …

In today's connected world, effective communication is crucial. However, due to limited
familiarity with sign language, the deaf and mute community often struggles with …

For the computer to interact with human users intelligently, computers should be able to
recognize the emotions and gestures of humans, by analyzing the human's emotional state …