Human-Computer Interaction through Hand Gesture Recognition

手势识别（HGR）是一种促进人机交互（HCI）的新兴技术（FET）。在过去的几年里，人们尝试在游戏、手语识别、非接触式医疗文档浏览、辅助生活和虚拟试衣间等应用中挖掘其潜力。然而，在该FET的当前婴儿阶段，现有手势识别技术的共同限制是1）刚性约束：完整手势的手移动必须在相机的视野内，2）高模糊性：不同姿势的子姿势之间的相似性可能很高以至于经常发生混淆，3）高计算复杂度，（4）对前景和背景人为干扰的敏感性高。这是我们在这个项目中的意图，研究一个新的有效的手势识别技术，是能够减轻这些限制的可行性。

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.