Empirical study of a vision-based depth-sensitive human-computer interaction system
Proceedings of the 10th asia pacific conference on Computer human interaction
| Hi-index | 0.00 |
Moving beyond mouse and keyboard, the evolution of human-computer interaction (HCI) has been an interest research in recent years which witnessed the development from text-based like using a keyboard to graphic user interface (GUI) based on a mouse, from cumbersome data gloves and tracking devices to visual-based computer application. One of the interest fields is by using hand gestures to interact with computer. However, the complexity of a hand set a lot of challenges to be tracked. In real-time, the application requires high accurate detection and recognition. In additional the real and clutter environments have a big impact on recognition process because it included with irrelevant information from the application point of view. In this paper, a real time vision based hand gesture interaction prototype was proposed. Currently a prototype has built for controlling the desktop cursor and concerned the tasks involving in navigation the desktop cursor by using hand gesture input modality