Coal mine blasting insecurity action identification and judgment method based on GMM (Gaussian Mixture Model) representation

A technology of action recognition and judgment method, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as insecurity

Active Publication Date: 2018-10-12
SHANDONG UNIV OF SCI & TECH
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AI Technical Summary

Problems solved by technology

[0008] The present invention aims at many deficiencies in the existing unsafe action identification and judgment technology of blasting in coal mines, and considers the interdependence between frames and the interrelationships between nodes, proposes a p...

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  • Coal mine blasting insecurity action identification and judgment method based on GMM (Gaussian Mixture Model) representation
  • Coal mine blasting insecurity action identification and judgment method based on GMM (Gaussian Mixture Model) representation
  • Coal mine blasting insecurity action identification and judgment method based on GMM (Gaussian Mixture Model) representation

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Embodiment Construction

[0066] The method for identifying and judging unsafe actions of blasting in coal mines based on GMM characterization of the present invention is achieved through the construction of an immersive virtual mine blasting scene generated by unity 3D, and the combination of skeleton information obtained by Kinect and hand motion information obtained by data gloves. Synchronization of actions between virtual and real people in virtual reality. See the specific process figure 1 , as described below.

[0067] (1) Human skeleton sequence data preprocessing:

[0068] The human skeleton data obtained by Kinect has a certain degree of jumping and shaking. At the same time, due to the difference in the distance between the human body and the kinect device and the difference in height and shape of each person, the data of the skeleton points in the same pose are different. In order to improve the effect of action judgment, it is necessary to Perform denoising and normalization preprocessin...

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Abstract

The invention discloses a coal mine blasting insecurity action identification and judgment method based on GMM (Gaussian Mixture Model) representation. The method comprises the following specific processes that: (1) preprocessing human body skeleton sequence data, obtaining the human body skeleton sequence data through kinect, obtaining hand joint data through a data glove, and carrying out denoising and normalized preprocessing on the human body skeleton sequence data and the hand joint data; (2) carrying out human body skeleton sequence data representation: 1) obtaining the GMM feature of action, 2) representing a skeleton sequence time sequence, and 3) extracting action representation GMM features; and (4) on the basis of the behavior identification of a Bayes classifier. By use of themethod, one action is comprehended as the sequential combination of multiple key gestures, a method for representing an action key gesture by the GMM is used for simplifying problem processing, so that the method exhibits certain effectiveness, and the problems of long time sequence, complex action and difficulty in judgment of coal mine blasting action can be accurately solved through identification and judgment.

Description

technical field [0001] The invention relates to a method for identifying and judging unsafe coal mine blasting actions in an immersive virtual reality environment, and belongs to the technical field of coal mine blasting safety operations. Background technique [0002] Unsafe actions in coal mines are the main cause of coal mine safety accidents, and among them, the gas explosion accidents caused by blasting by blasters are the ones with the highest frequency of occurrence and the largest number of deaths. [0003] Eliminate unsafe actions in the process of shooting, mainly through repeated training of standard shooting actions, discover and correct unsafe actions of trainees, so that they can consciously make safe actions when encountering the same situation in actual work . However, due to the particularity of the action training of blasting operation, it is impossible for the trainees to carry out repeated training or verification in the real gas explosion dangerous envi...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/40G06K9/62
CPCG06V40/23G06V40/28G06V10/30G06F18/23213G06F18/24155
Inventor 朱其刚刘明尹燕芳张帅帅
Owner SHANDONG UNIV OF SCI & TECH
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