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Locomotive hand signal operation training method based on body feeling technology

A training method and somatosensory technology, applied in the field of virtual reality, can solve problems such as high cost and poor interactive experience

Inactive Publication Date: 2017-10-24
HUAZHONG UNIV OF SCI & TECH
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AI Technical Summary

Problems solved by technology

[0006] In order to overcome the problems of high cost and poor interactive experience in the current locomotive signal training system, the present invention proposes a locomotive signal operation training method based on somatosensory technology, using Kinect to obtain human bone point data, combined with a matching algorithm The training method of real-time scoring of human posture can train the actions of locomotive signal personnel

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  • Locomotive hand signal operation training method based on body feeling technology
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Embodiment Construction

[0045] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0046] The present invention mainly uses Kinect and Unity3D platforms to realize the training system. Considering the characteristics of the training system, the logical framework of the system is set into three layers, and the main logical structure is as follows: Figure 5 As shown, the following layers are included:

[0047] (1) Data layer. Use Kinect SDK to obtain depth data, bone data...

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Abstract

The invention discloses a locomotive hand signal operation training method based on a body feeling technology and belongs to a virtual training category of virtual reality. In existing hand signal teaching training, a training result can not be fed back in real time, and manual cost is increased and there are many other disadvantages. By using the method of the invention, the above disadvantages are overcome. Based on the body feeling technology, through data acquisition and standard template library establishment, a template matching algorithm is used to carry out real-time assessment on training and a hand signal work training system with good interactivity is established. The method mainly comprises two portions of standard signal library establishment and real-time signal matching training. The invention provides an effective method for railway hand signal training to some extent.

Description

technical field [0001] The invention belongs to the field of virtual reality, and relates to a method of recognizing human bones through somatosensory equipment and realizing hand signal training of locomotives in a somatosensory manner. Background technique [0002] Hand signals are also a kind of railway mobile signals, which are various orders issued by people directly waving signal flags and signal lights. Traditional locomotive personnel training simulation systems mostly use 3D image technology combined with virtual instrument technology to simulate locomotive personnel training, which cannot better interact with locomotive signal personnel. The somatosensory technology reduces the cost, simplifies the training process, and relies on real-time human upper limb recognition scoring to achieve training purposes. Realizing the training system in this most natural way, which can relieve the task of the trainer, is getting more and more attention. [0003] The Kinect used ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G09B9/00G09B19/16G06K9/00
CPCG09B9/00G09B19/167G06V40/23
Inventor 付艳王峻峰刘坤李世其刘世平郑先权程祥汤贤
Owner HUAZHONG UNIV OF SCI & TECH
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