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Dynamic hand gesture recognition system using moment invariants

机译:利用不变矩的动态手势识别系统

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摘要

We have developed a dynamic hand gesture recognition system that can simplify the way humans interact with computers and many other non-critical consumer electronic equipment. The proposed system is based on the well-known “Wave Controller” technology developed at the University of Wollongong and will revolutionize video gaming and consumer electronics control interfaces. Currently, computer interfacing mainly involves keyboard, mouse, joystick or gaming wheels and occasionally voice recognition for user input. These modes of interaction have restrained the artistic ability of many users, as they are required to respond to the computer through pressing buttons or moving other apparatus. Voice recognition is seen as unreliable and impractical in areas where more than one user is present. All these drawbacks can be tackled by using a reliable hand gesture recognition system that facilitates interaction between users and computers and other consumer electronic equipment in real time. This will further enhance the user experience as users no longer have any physical connection to the equipment being controlled. This system can also be extended to a sign language system for the benefit of the disabled including those with speech disabilities.
机译:我们已经开发了一种动态手势识别系统,可以简化人类与计算机和许多其他非关键消费电子设备进行交互的方式。拟议的系统基于卧龙岗大学开发的著名的“ Wave Controller”技术,将彻底改变视频游戏和消费电子控制界面。当前,计算机接口主要涉及键盘,鼠标,操纵杆或游戏轮,偶尔还涉及用于用户输入的语音识别。这些交互方式限制了许多用户的艺术能力,因为它们需要通过按下按钮或移动其他设备来响应计算机。在存在多个用户的地区,语音识别被认为是不可靠且不切实际的。所有这些缺点都可以通过使用可靠的手势识别系统来解决,该系统可以促进用户与计算机和其他消费电子设备之间的实时交互。由于用户不再与受控设备有任何物理连接,因此这将进一步增强用户体验。该系统还可以扩展到手语系统,以使包括语言障碍者在内的残疾人受益。

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