文章基本信息

标题：A Framework on Hand Gesture Recognition Using Fuzzy-Logic with Backpropagation Neural Network Algorithm
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作者：Abhishek Patil ; Kanchan Pathak ; Saurabh Tagalpallewar 等
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2016
卷号：7
期号：3
页码：77-81
语种：English
出版社：Ayushmaan Technologies
摘要：This paper presents a method of hand gesture sequence recognition through a multi-feature criteria based on a predefined area in two dimensional space, the presence of skin color, and non-motion for a defined period of time using a web camera. Hand gesture recognition is an active topic of research and development for human computer interfaces. Hand gestures naturally consist of movement and paused motion. This technique focuses on the nonmotion features of a hand gesture. It is easy for a human being to recognize the meaning of a common hand gesture but it is difficult for a computer to accomplish this same task. A systematic method was developed to distinguish paused motion from hand movements so that pattern recognition techniques can be effectively utilized to interpret the gesture. We have compared the results of gesture recognition using two algorithms – backpropagation feedforwardalgorithm and neuro-fuzzy algorithm.
关键词：Neural Networks;Fuzzy Logic;Gesture Recognition;Fuzzy Clustering;Back-Propagation Feedforward Algorithm