使用神经网络的低成本手势检测器

S. T. Kumar, R. Ganesh, R. Hariprasad, S.A. Arvind Shanmuganaathan, B. Pandian
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引用次数: 0

摘要

该项目提出了一种新颖的低成本方法,使用神经网络进行手势识别,用于最终用户应用控制,而不是市场上普遍存在的更昂贵的设备。最终的结果是一个多功能的产品,具有各种各样的应用,可以满足许多用户的需求。事实上,一个具有最少编程知识的人也可以用提出的和原型化的设备设计一个应用程序。神经网络的使用使这成为可能,因为神经网络的模式识别比传统编程更准确。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Low-Cost Gesture Detector Using Neural Networks
This project proposes a novel low cost approach to gesture recognition using neural networks for end user applications control in contrary to more expensive devices prevalent in the market. The final outcome is proposed to be a versatile product with variety of applications which can cater to many user needs. In fact, a person with minimal programming knowledge can design an application with the proposed and prototyped device. The use of neural networks has made this possible, as the pattern recognition of neural networks is highly accurate than conventional programming.
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