Abstract Human-Computer Interaction (HCI) nowadays mostly uses physical contact, such
as people using the mouse to choose something in an application. However, there are …

Sign language recognition can help hearing and speech impaired persons to communicate
with the rest of the world. Hand gesture recognition is widely used in the entertainment …

Hand gesture recognition is important in human-machine interaction (HMI), enabling
interaction with the systems without physically touching them. But current methodologies …

Some varieties of sign languages are used by deaf or hard-of-hearing people worldwide to
interact with others more effectively, consequently sign language's automatic translation is …

Using gestures can help people with certain disabilities in communicating with other people.
This paper proposes a lightweight model based on YOLO (You Only Look Once) v3 and …

This study focuses on real-time hand gesture recognition in the Turkish sign language
detection system. YOLOv4-CSP based on convolutional neural network (CNN), a state-of …

Aim: The main aim of the research work is to compare the performance of a novel YOLO
algorithm in comparison with Convolution Neural Networks (CNN) to improve accuracy …

The use of gesture control has numerous advantages compared to the use of physical
hardware. However, it has yet to gain popularity as most gesture control systems require …

In this paper, we propose an efficient method for detecting human hands based on the
architecture of YOLO [1]. By utilizing the spatial-transfer connection (STC) between high …

Hand detection is a key step in the pre-processing stage of many computer vision tasks
because human hands are involved in the activity. Some examples of such tasks are hand …