手势识别系统研究进展

Jayesh S. Sonkusare, N. Chopade, Ravindra Sor, S. Tade
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引用次数: 52

摘要

从古代开始,手势就是第一种交流方式,在人类文明进化之后,他们发展了语言交流,但非语言交流同样重要。这种非语言交流不仅适用于残疾人,而且可以有效地用于3D游戏、航空、测量等各种应用。这是与计算机交互的最佳方法,无需任何外围设备。许多研究人员仍在开发鲁棒高效的新型手势识别技术。设计过程中涉及的主要步骤有:数据采集、分割与跟踪、特征提取和手势识别。在每个步骤中都有与几个子步骤相关联的不同方法。对各种分割跟踪、特征提取和识别技术进行了研究和分析。本文对目前提出的各种手势识别技术进行了比较研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Review on Hand Gesture Recognition System
From the ancient age, gesture was the first mode of communication, after the evolution of human civilization they developed the verbal communication, but still non-verbal communication is equally significant. Such non-verbal communication is not only used for physically challenged person but also it can be efficiently used for various applications such as 3D gaming, aviation, surveying, etc. This is the best method to interact with computer without any peripheral devices. Many Researchers are still developing robust and efficient new hand gesture recognition techniques. The major steps associated while designing the system are: data acquisition, segmentation and tracking, feature extraction and gesture recognition. There're different methodologies associated with several substepspresent at each step. A various segmentation and Tracking, feature extraction and recognition techniques are studied and analyzed. This paper reviews the comparative study of various hand gesture recognition techniques which are presented up-till now.
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