منابع مشابه
Dynamic Gesture Recognition using Transformation Invariant Hand Shape Recognition
In this thesis a detailed framework is presented for accurate real time gesture recognition. Our approach to develop a hand-shape classifier, trained using computer animation, along with its application in dynamic gesture recognition is described. The system developed operates in real time and provides accurate gesture recognition. It operates using a single low resolution camera and operates i...
متن کاملHuman Computer Interaction Using Vision-Based Hand Gesture Recognition
With the rapid emergence of 3D applications and virtual environments in computer systems; the need for a new type of interaction device arises. This is because the traditional devices such as mouse, keyboard, and joystick become inefficient and cumbersome within these virtual environments. In other words, evolution of user interfaces shapes the change in the Human-Computer Interaction (HCI). In...
متن کاملHuman Computer Interaction Using Vision-Based Hand Gesture Recognition
With the rapid emergence of 3D applications and virtual environments in computer systems; the need for a new type of interaction device arises. This is because the traditional devices such as mouse, keyboard, and joystick become inefficient and cumbersome within these virtual environments. In other words, evolution of user interfaces shapes the change in the Human-Computer Interaction (HCI). In...
متن کاملView-Invariant Hand Gesture Planar Trajectory Recognition on Monocular Vision
On monocular vision, in the process of the hand gesture recognition, when the camera poses are different, the same motion trajectory can project into different trajectory projections, which will affect the recognition and application of the trajectory. To solve this problem, using the square calibration, a plane projection’s standardization model is built and used in a new active vision based v...
متن کاملA Novel System for Hand Gesture Recognition
The purpose of this project is to create a real-time dynamic hand gesture recognition system from front-to-back. Users interact with the system by wearing a special glove. Motions from the user are interpreted by our application running on standard computer hardware with a commodity webcam. These motions are analyzed using computer vision and machine learning, in particular Hidden Markov Models...
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ژورنال
عنوان ژورنال: International Journal of Engineering & Technology
سال: 2018
ISSN: 2227-524X
DOI: 10.14419/ijet.v7i4.6.21196