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Data glove gesture recognition algorithm based on mathematical statistics

A data glove, gesture recognition technology, applied in computing, computer parts, character and pattern recognition, etc., can solve the problems of different degrees of flexion and extension of finger joints and inability to match

Active Publication Date: 2019-11-05
QINGHAI NORMAL UNIV
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AI Technical Summary

Problems solved by technology

[0012] Aiming at the deficiencies of the existing technology, the present invention provides a data glove gesture recognition algorithm based on mathematical statistics, which solves the problem that different users have different degrees of flexion and extension of finger joints, which leads to the inability to achieve relatively perfect matching.

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  • Data glove gesture recognition algorithm based on mathematical statistics
  • Data glove gesture recognition algorithm based on mathematical statistics
  • Data glove gesture recognition algorithm based on mathematical statistics

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Embodiment Construction

[0059] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention.

[0060] Examples of the described embodiments are shown in the drawings, wherein like or similar reference numerals designate like or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0061] see figure 1 , is a flowchart of the present invention.

[0062] The process in this program is as follows:

[0063]Step 1: Based on the 20 one-handed mathematical gestures of hearing-impaired people, wear data gloves and use the sensor.getData() method under the Vi...

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Abstract

The invention discloses a data glove gesture recognition algorithm based on mathematical statistics, and relates to the technical field of artificial intelligence. The method comprises the steps thata sensor.getData () method is used for a worn data glove, the same gesture is divided into a natural state and a stretching state to collect sensor angle values respectively, and the values are storedin two documents respectively; numerical values in the text document are read and stored in arrays a1 and b1, a2 and b2,..., a20 and b20, ai = (ai, 1, ai, 2, ai, 3,..., ai, 24), and bi = (bi, 1, bi,2, bi, 3,..., bi, 24). According to the method, the deviation degree and the linear relation between the randomly acquired gesture and the gesture in the template library are judged by calculating thestandard deviation and the correlation coefficient. The gesture most similar to the randomly acquired gesture is found out in the template library. Through two times of screening, the screening valueprecision is gradually improved, so that gesture recognition is very accurate. The gesture recognition based on the data glove can eliminate the interference of the external environment.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a data glove gesture recognition algorithm based on mathematical statistics. Background technique [0002] Gesture recognition technology is often used in sign language recognition and human-computer interaction. The process of gesture recognition is the process of classifying the trajectory points in the model parameter space of the hand into a certain subset of the space. Static gestures correspond to a point in the model parameter space, while dynamic gestures correspond to a trajectory in the model parameter space. Therefore, their identification methods are different. The existing gesture recognition technologies mainly include template matching method, neural network method, hidden Markov model method and so on. Among them, the neural network is a gesture recognition method based on vision. Hidden Markov model method is suitable for dynamic gesture recogn...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/20G06V40/28
Inventor 张效娟毛亚平程思
Owner QINGHAI NORMAL UNIV
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