Human-Computer Interaction through Hand Gesture Recognition

手势识别(HGR)是一项促进人机交互(HCI)的快速新兴技术。在过去的几年里，人们试图开发它在游戏、手语识别、非接触式医疗文档浏览、辅助生活和虚拟试衣室等应用程序中的潜力。然而，在目前的手势识别技术还处于起步阶段时，现有的手势识别技术的共同局限性是：1)严格的约束：一个完整的手势的手势必须在摄像机的视线内移动；2)高度的模糊性：不同手势的子手势之间的相似度很高，以至于经常发生混淆；3)计算复杂度高；4)对前景和背景的人为干扰高度敏感。我们在这个项目中的目的是研究一种新的高效手势识别技术的可行性，该技术能够缓解这些限制。

Hand gesture recognition (HGR) is a fast emerging technology (FET) for facilitating Human-Computer Interaction (HCI). The past few years have seen attempts to exploit its potential in applications such as gaming, sign language recognition, contactless medical document browsing, assisted living and virtual fitting room. However, at the current infant stage of this FET, the common limitations of the existing hand gesture recognition techniques are 1) rigid constraints: the hand movement of a complete gesture has to be in view of the camera, 2) high ambiguity: the similarity between sub-gestures of different gestures may be so high that confusions occur frequently, 3) high computational complexity, and 4) high sensitivity to foregournd and background human interference. It is our intention in this project to study the feasibility of a new efficient hand gesture recognition technique that is able to alleviate those limitations.