As robots have become more pervasive in our daily life, natural human-robot interaction
(HRI) has had a positive impact on the development of robotics. Thus, there has been …

Grasp classification is pivotal for understanding human interactions with objects, with wide-
ranging applications in robotics, prosthetics, and rehabilitation. This study introduces a novel …

Considering that the distinctions among static hand gestures are the difference between
fingers sticking out, a method of grouping and classifying hand gestures step by step by …

Gesture recognition is widely used in communication, virtual reality, smart cockpit, smart
home, etc. This paper proposes an application system based on MediaPipe for intelligent …

This paper tackles a novel and challenging problem—3D hand pose estimation (HPE) from
a single RGB image using partial annotation. Most HPE methods ignore the fact that the …

A brain tumor is the growth of abnormal cells in the tissues of the brain. It affects a large
number of people of different ages worldwide. Magnetic Resonance Imaging (MRI) is the …

Deep learning, especially through Convolutional Neural Networks (CNNs), has
revolutionized image analysis. Image classification, which involves assigning labels to …

An ATM is a 24/7 banking outlet through which users can avail prompt services like cash
withdrawal, cash transfer, balance enquiry, pin change, mini statement, etc. Due to the risk of …

This paper is devoted to designing a Convolutional Neural Network (CNN) to control a servo
system by recognizing gestures. The design will be in Matlab and a Programmable logic …

Аннотация В работе предложен алгоритм распознавания жестов рук, который
позволяет определять и классифицировать 10 цифр и 25 букв русского жестового …