Human-Machine Interaction Using Stereo Vision-based Gesture Recognition
| Autor: | Shin-zung Huang, 黃信榮 |
|---|---|
| Rok vydání: | 2009 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 97 At present, the development of consumer electronic products focuses on more convenient and friendly interactive interface. Through the body posture interacting with machine without direct touch has become an important research trend. This paper presents a stereo vision-based gesture recognition system of human-computer interaction. Two cameras are set on the computer screen, and the Lens Shooting is in front of screen. Assuming the hand which controls the computer is the nearest object to the screen. We use the neural network to achieve the mapping model of aberrations and image depth. We detect the fingers after the nearest object is found, and the static gestures are defined by the numbers of finger. Finally, the dynamic gesture model is established on the state transfer of different static gestures and the action of states. Different dynamic gestures indicate the different human-computer interaction commands. Based on the stereo vision, the location of hand can be efficiently and accurately identified by the experiments. And we don’t need to waste too much cost on finding the hand in a complex background. Our dynamic gestures recognition efficiency is the same as other research, and the complexity is low than others. When the system wants to add a new gesture, a new description of the state transition is required. It has no need to retrain the dynamic gesture model. Therefore, the system we present here provides a highly flexible, efficient and reliable human-computer interaction method. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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