文章基本信息

标题：Short Survey on Static Hand Gesture Recognition
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作者：Huu-Hung Huynh ; Duc-Hoang Vo
期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2017
卷号：8
期号：7
DOI：10.14569/IJACSA.2017.080761
出版社：Science and Information Society (SAI)
摘要：This paper presents a survey of methods which have been recently proposed for recognizing static hand gestures. These approaches are first summarized and then are assessed based on a common dataset. Because mentioned methods employ different types of input, the survey focuses on stages of feature extraction and classification. Other former steps, such as pre-processing and hand segmentation, are slightly modified. In experiments, this work does not only consider the recognition accuracy but also suggests suitable scenarios for each method according to its advantages and limitations.
关键词：Hand gesture; rank-order correlation matrix; Gabor filter; block; centroid distance; Fourier transform