CSA  >> Vol. 6 No. 11 (November 2016)

    Design of Finger Gesture Recognition System

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苑秉成:海军工程大学兵器工程系,湖北 武汉;
熊鹏文,任倩茹,张发辉:南昌大学信息工程学院,江西 南昌

姿态识别手指康复多分类支持向量机Gesture Recognition Finger Rehabilitation Multi Classification Support Vector Machine



With high precision and high resolution of the mobile control demand, plus the data, it differs from man to man. Diversity, and in the process of movement of fuzzy signal recognition, real-time and accurate finger gesture recognition can greatly improve the effect of rehabilitation of finger. To solve this problem, this paper presents a simple, portable finger gesture recognition system design. The use of multi class support vector machine hand motion analysis and recognition, a large number of training data collected is divided into offline and online training set test set; after the test, a large number of online and offline training results show that the multi class support vector machine is efficient and practical in classification and recognition in the process of the rehabilitation process and which may contribute to the finger.

熊宏锦, 苑秉成, 熊鹏文, 任倩茹, 张发辉. 一种手指姿态识别系统设计[J]. 计算机科学与应用, 2016, 6(11): 648-656. http://dx.doi.org/10.12677/CSA.2016.611080


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