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A control method based on gesture recognition

A control method and gesture recognition technology, applied in the field of control, can solve problems such as large differences and inaccurate control of 3D models, and achieve the effect of eliminating influencing factors and accurate control results

Inactive Publication Date: 2017-07-18
GUANGDONG VTRON TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, since the hand is an elastic object, there are great differences between the same gesture. After the hand makes a movement, the control of the 3D model is not precise due to inertia.

Method used

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  • A control method based on gesture recognition
  • A control method based on gesture recognition
  • A control method based on gesture recognition

Examples

Experimental program
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no. 1 example

[0041] see figure 1 , the first embodiment of a control method based on gesture recognition in the embodiment of the present invention, specifically includes:

[0042] 101. When the hand makes a movement, obtain the dynamic information of the hand;

[0043] In this embodiment, the operator can stand in front of the camera to operate. When the hand makes a movement, the camera captures the video stream of the operator's hand movement, and extracts the dynamic information of the hand from it. The dynamic information can describe the movement state of the hand. For example, dynamic information such as whether the direction of hand movement is up or down.

[0044] 102. Calculate the impact factor through dynamic information;

[0045] In this embodiment, in order to eliminate the influencing factors in the gesture control process and make the control more precise, it is necessary to determine the quantified influencing factors of the influencing factors. It should be noted that t...

no. 2 example

[0050] The first embodiment of a control method based on gesture recognition in the embodiment of the present invention has been described above, please refer to figure 2 The second embodiment of a control method based on gesture recognition in the embodiment of the present invention specifically includes:

[0051] 201. When moving with one hand, take the hand as the mass point, obtain the space coordinates of the beginning and end of the mass point, and move the time, so as to calculate the displacement and speed of the single hand;

[0052] In this embodiment, the operator can stand in front of the camera and operate with one hand. When the hand makes a movement, the camera captures the video stream of the operator's single hand movement, and extracts the dynamic information of the single hand from it. The dynamic information can describe the movement of the hand. state of motion. Take the hand as the particle, obtain the starting and ending space coordinates of the partic...

no. 3 example

[0059] The second embodiment of a control method based on gesture recognition in the embodiment of the present invention has been described above, please refer to image 3 The third embodiment of a control method based on gesture recognition in the embodiment of the present invention specifically includes:

[0060] 301. When the hands are moving, use the hands as two mass points, obtain the space coordinates of the start and end of the two mass points, and move the time, so as to calculate the relative displacement and relative velocity;

[0061] In this embodiment, the operator can stand in front of the camera and operate with both hands. When the hands make a movement, the camera captures the video stream of the movement of the operator's hands, and extracts the dynamic information of the hands from it, which can describe the movement state of the hands . Take the hand as the particle, obtain the space coordinates of the beginning and end of the particle, and move the time,...

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Abstract

The invention discloses a control method based on gesture recognition, which is used for effectively and accurately controlling a three-dimensional model. The method in the embodiment of the present invention includes: acquiring the dynamic information of the hand when the hand makes an action; calculating the influence factor through the dynamic information; generating a control instruction through the dynamic information and the influence factor; and controlling the three-dimensional model according to the control instruction. Control instructions are generated through dynamic information and influencing factors, thereby eliminating influencing factors and making control results more precise.

Description

technical field [0001] The invention relates to the technical field of control, in particular to a control method based on gesture recognition. Background technique [0002] The interaction between human and computer has increasingly become an important part of people's daily life. Especially in recent years, with the rapid development of computer technology, the research on novel human-computer interaction technology that conforms to interpersonal communication habits has become extremely active, and has also achieved These studies include face recognition, facial expression recognition, lip reading, head movement tracking, gaze tracking, gesture recognition and body gesture recognition, etc. In general, human-computer interaction technology has gradually shifted from computer-centered to human-centered, and it is a multimedia and multi-mode interactive technology. [0003] Gesture is a natural, intuitive and easy-to-learn means of human-computer interaction. With the hum...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F3/01
Inventor 林良辉
Owner GUANGDONG VTRON TECH CO LTD
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