منابع مشابه
Gesture Recognition System
Gestures are a major form of human communication. Hence gestures are found to be an appealing way to interact with computers, as they are already a natural part of how we communicate. A primary goal of gesture recognition is to create a system which can identify specific human gestures and use them to convey information for device control and by implementing real time gesture recognition a user...
متن کاملGesture Recognition System
In this paper, the hand gesture of a person is recognised and it identifies which hand of the person is raised. The skin colour is taken to recognise hands and face and the dark background is taken so that the skin detection may become easier. The hands and face are differentiated on the basis of area and centroid. Camera is the only input device used in this algorithm. No other input device is...
متن کاملHandel, a Free-Hands Gesture Recognition System
I describe here a real-time vision-based gesture recognition system used in interactive computer music performances. The performer moves his hands in a video-camera capture area, the camera sends the signal to a video digitizer card plugged into a computer. By processing the reconstructed images of the performer’s hands in movement the computer detects x-y positions, shape (posture) and angle o...
متن کاملSupervised Training Based Hand Gesture Recognition System
We have developed a hand gesture recognition system, based on the shape analysis of static gestures, for Human Computer Interaction purposes. Our appearance-based recognition uses modified Fourier descriptors for the classification of hand shapes. As always found in literature, such recognition systems consist of two phases: training and recognition. In our new practical approach, following the...
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 Electronics Signals and Systems
سال: 2012
ISSN: 2231-5969
DOI: 10.47893/ijess.2012.1080