Currently, video behavior recognition is one of the most foundational tasks of computer
vision. The 2D neural networks of deep learning are built for recognizing pixel-level …

An essential component of building an automated hand gesture detection system is the
ability to extract hand movements using a single video camera. Results for hand extraction …

Abstract Hand Gesture Recognition is receiving enormous attention because they facilitate
communication for various applications, including human-computer interaction. However …

Deaf and mute people have unique communication and social challenges that make it hard
to express their thoughts, needs, and ideas. Understanding people's behavior is more …

In this paper, a pipeline for hand gesture recognition from depth images is presented. This
depth-based image recognition system is capable of recognizing gestures with challenges …

Deep convolutional neural network-based Leveraging Lion Swarm Optimizer for gesture
recognition and classification Page 1 AIMS Mathematics, 9(4): 9380–9393. DOI: 10.3934/math.2024457 …

In this paper, we investigate hand gesture classifiers that rely upon the abstracted
'skeletal'data recorded using the RGB-Depth sensor. We focus on 'skeletal'data represented …

This paper presents an innovative strategy for improving hand sign recognition by utilizing
some robust handcrafted features derived from Local Binary Patterns (LBP), Histogram of …

Image-based hand gesture recognition is a very challenging problem as the hand is a
smaller object with complex articulations compared to the entire human body. It occupies a …