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• W2781937774 abstract "Hand gesture recognition is highly valued for its potential applications in contactless human-computer interaction (HCI). Aiming at the problem that the gesture recognition system based on ordinary camera is susceptible to different lighting conditions and complex background environment, an improved algorithm based on depth image for fingertip detection and gesture recognition is proposed. Firstly, the depth image is obtained by zed stereo camera. The position of the hand is detected and segmented by depth information and color information, It is proposed to combine the convex hull and the k-curvature detection fingertip to detect the number and position of the fingertip, The angle between the tip and the palm of the hand, the angle between the two adjacent fingertips and the distance between the fingertip and the palm of the hand. Finally, the five kinds of digital gestures are identified by the support vector machine (SVM). The experiment results show that the method can accurately detect the count and location of the fingertips, and the average recognition rate of 5 kinds of digital gestures is 94. 9%. The Features used in this paper are simple, real-time, and have good robustness." @default.
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• W2781937774 date "2017-10-01" @default.
• W2781937774 modified "2023-09-27" @default.
• W2781937774 title "An improved approach for gesture recognition" @default.
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• W2781937774 doi "https://doi.org/10.1109/cac.2017.8243638" @default.
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