This paper presents a novel approach to continuous dynamic hand gesture recognition. Our contains two main modules: spotting and classification. Firstly, the module pre-segments video sequence with gestures into isolated gestures. Secondly, classification identifies segmented In module, motion of palm fingers are fed Bidirectional Long Short-Term Memory (Bi-LSTM) network for spotting. three res...

This paper introduces a fast decision tree based feature classification system for hand gesture recognition and pose estimation. Training of the decision trees is performed using synthetic data and classification is performed on images of real hands. The presence of each finger is individually classified and gesture classification is performed by parts. The attributes used for training and clas...

This paper focuses on the hand gesture recognition using the various feature extraction techniques and SVM as a classifier. Her we have proposed the hybrid approach using SIFT and HoG combined as a feature extraction technique and gestures classification done using SVM linear kernel function.The accumulative multi class SVM method is employed in order to obtain a classification of the multiple ...

Abstract Human–computer interaction (HCI) and related technologies focus on the implementation of interactive computational systems. The studies in HCI emphasize system use, creation new techniques that support user activities, access to information, ensures seamless communication. use artificial intelligence deep learning-based models has been extensive across various domains yielding state-of...

The diverse applications of hand gesture recognition system accepted it great attention especially in the past few years, besides the recognition system ability to interact with machine naturally and efficiently through human computer interaction. Hand gestures recognition system has different applications on different domains including virtual environments, graphic editor systems, sign languag...

Owing to convenience and naturalness, hand gesture recognition has been widely used in various human-computer interaction (HCI) systems. In this paper, we address the problem from the perspective of system, and present a static hand gesture recognition algorithm based on Krawtchouk moments. The effect of the order and number of Krawtchouk moments on the recognition performance is studied in det...

Today, almost all aspects of life are influenced by technology to simplify these life. Researching how humans and computers interact is very important build a good model for better human-computer interaction in the future. Using such as computer vision, we can now collect information looking directly from human. Humans use many kinds modalities with computers. Hands perhaps largest source body ...