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Sand painting drawing method based on Leap Motion gesture recognition

A technology of gesture recognition and production methods, applied in the input/output process of data processing, input/output of user/computer interaction, instruments, etc., can solve the problems of multiple appreciation and dissemination of works, and achieve good cross-platform sexual effect

Inactive Publication Date: 2017-08-08
ZHONGBEI UNIV
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, live sand painting performances require performers to carry projection equipment, sand painting square tables, a large amount of fine sand and other necessary tools at all times, and there are many requirements for the live performance environment and light. In addition, the works of live sand painting performances do not have multiple Appreciation and Dissemination Deficiencies

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  • Sand painting drawing method based on Leap Motion gesture recognition
  • Sand painting drawing method based on Leap Motion gesture recognition
  • Sand painting drawing method based on Leap Motion gesture recognition

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Embodiment Construction

[0032] A kind of sand painting production method based on Leap Motion gesture recognition in the present embodiment, comprises the following steps:

[0033] 1) Data collection: First, you need to download the Leap_Motion_SDK_Windows_2.3.1 software installation package from the Leap Motion official website to install Leap Motion on the computer terminal; in order to integrate Leap Motion into Unity 3D, you need to download the Leap Motion Unity Core Assets v2.3.1 package and import it into Unity 3D. Leap MotionAPI obtains several types of data such as Hand, Finger, Tool, Vector, and Gesture of gestures from the frame data captured by Leap Motion. If Leap Motion successfully detects a human hand and the hand does not leave the field of view of the device, Leap Motion will give it. Set a unique and unchangeable ID number, and then the Listener subclass bound to the Controller object will immediately trigger its internally defined onFrame() callback function to synchronously outpu...

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Abstract

The invention belongs to the technical field of sand painting drawing, particularly relates to a sand painting drawing method based on Leap Motion gesture recognition, mainly solves the technical problems that inaccuracy and poorer timeliness are caused by the fact that the overall implementation process of vision-based gesture recognition is tedious and is susceptible to light and complicated environment and overcomes defects that sand painting performance at the present stage does not have propagation and storage functions. The virtual sand painting drawing process is completed by use of the characteristic of high Leap Motion capture gesture accuracy in combination with powerful integration and built-in functions of Unity 3D; by improving a feature extraction algorithm and optimizing the tracking process, the gesture recognition accuracy is higher, and the tracking effect is more stable; particles are added to simulate the falling effect, and finally, the vivid sand painting drawing effect is realized.

Description

technical field [0001] The invention belongs to the technical field of sand painting production methods, in particular to a sand painting production method based on Leap Motion gesture recognition. Background technique [0002] With the development of virtual reality technology and people's research on computer graphics, computer vision and other related subjects, gesture recognition technology has developed into a hot research topic in the field of human-computer interaction in recent years. Gesture recognition can be divided into two categories: gesture recognition based on mechanical sensing devices and gesture recognition based on vision. Compared with gesture recognition based on mechanical sensing devices, vision-based gesture recognition has many advantages in the implementation process, such as convenience, efficiency, flexibility, and nature. However, most of these methods rely on cameras to collect gesture image information, and require After cumbersome processes ...

Claims

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Application Information

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IPC IPC(8): G06F3/01
CPCG06F3/017
Inventor 杨晓文宁亚楠况立群韩燮
Owner ZHONGBEI UNIV
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