This is because modern robotic vision, including visual place recognition, typically relies on power-hungry machine learning ...

The loss of a limb following an injury, accident or disease can greatly reduce quality of life, making it harder for people to engage in daily activities. Yet recent technological advances have opened ...

Nowadays, for hand gesture tracking and recognition, different computer vision approaches have been proposed by researchers. In this section, we categorize the related work into two subsections, the ...

gesture recognition played a pivotal role in the field of human-computer interaction. Among various sensing devices, Time-of-Flight (ToF) sensors were widely applied due to their low cost. This paper ...

Abstract: In this paper, a computer-vision-assisted simulation method is proposed to address the issue of training dataset acquisition for wireless hand gesture recognition. In the existing literature ...

In the past decade, computer vision (CV), machine learning (ML), and artificial intelligence ... to the right of the plane mirror so as to better reach it with the dominant hand, and the artist’s head ...

Gesture recognition plays a crucial role in various applications such as virtual environment control, sign language translation, robot control, and music creation. This project utilizes MediaPipe, an ...

Power companies that tap into the latest computer vision technology stand to benefit ... It is the technology at the core of facial recognition, for example—the ability of your phone to take ...

Abstract: This research presents a real-time remote monitoring system tailored for the elderly, integrating advanced hand gesture recognition using computer vision technology ... elderly monitoring ...