手势识别的阶段、建模类型和方法研究

K. Gurbanova
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引用次数: 0

摘要

现代社会中,人与人之间的交流方式发展迅速,我们不可能不考虑残疾人与外界交流和融入社会的问题。手势是残疾人唯一的交流方式(听觉和语言)。研究提供了有关静态和动态手势的信息,这些手势可以让有交流障碍的人交流信息。据悉,自动手势识别问题是通过各种数学方法、算法和计算机系统解决的。二维和三维模型在手势顺序识别方面的优缺点也得到了说明。报告指出,在阿塞拜疆共和国建立一个能够识别国家双字节字母和手势的国家电子数据库是一个紧迫的问题。本文介绍了该领域的著名方法。人工神经网络法、隐马尔科夫法、随机森林法和使用涂有不同颜色标记的手套指定手势的方法。建议建立一个国家电子数据库,识别国家双元音字母和手势,这将部分消除现有的教育障碍和人与人之间的交流问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research of Stages, Types of Modeling and Methods of Gesture Recognition
It is impossible to leave aside the problem of communication with the outside world and the social integration of people with disabilities in modern society, where there is a rapid development of communication methods between people. Gesture is the only method of communication for people with disabilities (auditory and language). The research provides information on static and dynamic gestures that allow people with communication problems to exchange information. It is noted that the problem of automatic gesture recognition is solved by various mathematical methods, algorithms and computer systems. The advantages and disadvantages of 2D and 3D models for sequential recognition of hand gestures are shown. It is noted that the creation of a national electronic database that recognizes the national dactyl alphabet and gestures in the Republic of Azerbaijan is an urgent problem. The well-known methods of this category are shown. Artificial neural network method, Hidden Markov method, Random Forest method and method of designating a hand gesture using gloves painted with markers of different colors. The creation of a national electronic database that recognizes the national dactyl alphabet and gestures is proposed, which will partially eliminate the existing barrier in education and problems of communication between people.
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