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Multidimensional weighted 3D recognition method for dynamic gestures

A technology of dynamic gestures and recognition methods, applied in the input/output of user/computer interaction, computer parts, graphic reading, etc., can solve the problem of low gesture recognition rate

Inactive Publication Date: 2014-10-29
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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AI Technical Summary

Problems solved by technology

However, the existing gesture recognition system has the problem of low gesture recognition rate.

Method used

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  • Multidimensional weighted 3D recognition method for dynamic gestures
  • Multidimensional weighted 3D recognition method for dynamic gestures
  • Multidimensional weighted 3D recognition method for dynamic gestures

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Embodiment Construction

[0091] Specific embodiments of the present invention will be described below in conjunction with the accompanying drawings, so that those skilled in the art can better understand the present invention. It should be noted that in the following description, when detailed descriptions of known functions and designs may dilute the main content of the present invention, these descriptions will be omitted here.

[0092] In this example, if figure 1 As shown, first perform gesture segmentation, such as figure 2 As shown, the joint point data of standard gestures are obtained from the continuous human action video (training video) provided by the image input device;

[0093] Track the positions of the six joint points of the left and right hands, left and right wrists, and left and right elbows, and detect whether the hand is in the extended state, that is, whether the Z coordinate of the hand is the smallest among the six tracked joint points. If it is not in the extended state, re...

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Abstract

The invention discloses a multidimensional weighted 3D recognition method for dynamic gestures. At the training stage, firstly, standard gestures are segmented to obtain a feature vector of the standard gestures; secondly, coordinate system transformation, normalization processing, smoothing processing, downsampling and differential processing are performed to obtain a feature vector set of the standard gestures, weight values of all joint points and weight values of all dimensions of elements in the feature vector set, and in this way, a standard gesture sample library is constructed. At the recognition stage, by the adoption of a multidimensional weighted dynamic time warping algorithm, the dynamic warping distances between the feature vector set Ftest of the gestures to be recognized and feature vector sets Fc =1,2,...,C of all standard gestures in the standard gesture sample library are calculated; when the (m, n)th element S(m, n) of a cost matrix C is calculated, consideration is given to the weight values of all the joint points and the weight values of all the dimensions of the elements, the joint points and coordinate dimensions making no contribution to gesture recognition are removed, in this way, the interference on the gesture recognition by joint jittering and false operation of the human body is effectively removed, the anti-interference capacity of the algorithm is enhanced, and finally the accuracy and real-time performance of the gesture recognition are improved.

Description

technical field [0001] The invention belongs to the technical fields of pattern recognition and intelligent systems, computer vision and human-computer interaction, and more specifically relates to a multi-dimensional weighted 3D dynamic gesture recognition method. Background technique [0002] The field of human-computer interaction has experienced two revolutions. The first was the appearance of the mouse in 1983, which allowed people to enter the two-dimensional graphical interface based on the mouse from the one-dimensional command line based on the keyboard. The second is the emergence of touch screen technology, which integrates display and input, making people gradually familiar with the interactive mode of multi-touch. The development of touch screen technology has also led to the exploration and research of other new interactive methods and devices. [0003] It can be considered that the transformation of the human-computer interaction mode is closely related to th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F3/01
Inventor 康波李云霞孙琴蔡会祥
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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