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- W2356116475 abstract "Traditional methods of gesture recognition are incompetent to detect finger's delicate movement due to poor segmentation effect using 2D images and limited gesture templates through supervised training of classifier.This paper proposes a method of finger joint angle measurement by Particle Swarm Optimization(PSO)algorithm,introduces Kinect depth image to optimize feature extraction and improve accuracy.Through the analysis of hand free degree,it introduces multiple constraints to reduce the degrees of freedom number,optimize PSO to calculate the best model and analyze the measurements,transform the common problems of gesture classification to the variable solution of finger joint angle.Experimental results show that this method can effectively improve the detection accuracy and reduce the situation of detection fault." @default.
- W2356116475 created "2016-06-24" @default.
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- W2356116475 date "2015-01-01" @default.
- W2356116475 modified "2023-09-23" @default.
- W2356116475 title "Finger Joint Angle Detection Method Based on Visual-image and Its Implementation" @default.
- W2356116475 hasPublicationYear "2015" @default.
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