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Method and system for recognizing facial expression changes based on vision of intelligent robot

A technology of intelligent robots and facial expressions, applied in the field of intelligent robots, can solve the problem of difficult control of when to capture pictures, and achieve the effect of improving interactive experience and self-capturing

Inactive Publication Date: 2016-12-07
BEIJING GUANGNIAN WUXIAN SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The time node of self-capture is very important to the quality of captured photos, but since the time node of self-capture is generally obtained dynamically, it is difficult to control when to capture, so there is an urgent need for a method that can accurately control the time node of self-capture

Method used

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  • Method and system for recognizing facial expression changes based on vision of intelligent robot
  • Method and system for recognizing facial expression changes based on vision of intelligent robot
  • Method and system for recognizing facial expression changes based on vision of intelligent robot

Examples

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no. 1 example

[0025] figure 1 According to the first embodiment of the present invention, it is a schematic flow chart of a method for visually recognizing changes in human facial expressions based on intelligent robots. As shown in the figure, the method includes the following steps:

[0026] Step S110 , receiving the human face and facial expression change node instruction obtained from the first application.

[0027] Step S120, call the vision module loop according to the above instruction to obtain image information, and record the facial expression information in the image information.

[0028] Step S130 , judging whether the facial expression of the human face has changed according to the recorded facial expression information, and feeding back the node information when the node of the facial expression changing of the human face is identified.

[0029] Specifically, the snapping app generally snaps a shot based on a setting change in the received image, for example, when the facial ...

no. 2 example

[0039] figure 2According to the second embodiment of the present invention, it is a schematic flow chart of the method for visual recognition of changes in human facial expressions based on intelligent robots. In this embodiment, the image is analyzed by acquiring the emotional value corresponding to the human face in the image. The following combines Examples are described in detail.

[0040] Such as figure 2 As shown, the Snapshot APP sends an instruction to the intelligent robot system to request to obtain the change node of human face and facial expression, and the intelligent robot system calls the camera to obtain the previewed image information according to the request of the Snapshot APP. This step performs the same operation as step S110 in the first embodiment, and details are not repeated here.

[0041] The intelligent robot system recognizes each frame of images acquired, determines and records the number of faces contained in each frame of images and the emoti...

no. 3 example

[0055] image 3 It is a schematic structural diagram of a system for visually recognizing changes in human facial expressions based on intelligent robots according to the third embodiment of the present invention. A robot operating system is installed on an intelligent robot, and the system for changing human facial expressions includes:

[0056] An instruction receiving module 31, which receives the human facial expression change node instruction obtained from the first application.

[0057] Facial expression information recognition module 32, which invokes the vision module cycle to obtain image information according to the instruction, and records the facial expression information in the image information.

[0058] Judgment feedback module 33, which judges whether the facial expression of the human face changes according to the recorded facial expression information, and feeds back the node information when the node of the facial facial expression change is identified.

[...

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PUM

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Abstract

This invention discloses a method and system for recognizing facial expression changes based on vision of intelligent robot. The intelligent robot is provided with a robot operation system. The robot operation system receives a facial expression change node command acquired by a first application, calls a visual module cycle according to the command to acquire image information and record facial expression information in the image information, judges whether the facial expression is changed or not according to the recorded facial expression information, and feeds back node information when a node of the facial expression change is recognized. The method can recognize the emotional changes of a user in time, so as to achieve self-snapshot better and improve the interactive experience of the user.

Description

technical field [0001] The invention belongs to the field of intelligent robots, and in particular relates to a method and system for visually recognizing changes in facial expressions of human faces based on intelligent robots. Background technique [0002] With the widespread application of intelligent robots in multimodal interactions, new requirements are placed on their performance. For example, for an intelligent robot capable of taking pictures, it is not only required to be able to take pictures, but also required to have the ability to self-capture. [0003] The time node of self-capture is very important to the quality of captured photos, but since the time node of self-capture is generally obtained dynamically, it is difficult to control when to capture, so there is an urgent need for a method that can accurately control the time node of self-capture. Contents of the invention [0004] One of the technical problems to be solved by the present invention is to pr...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/174
Inventor 畅敬佩
Owner BEIJING GUANGNIAN WUXIAN SCI & TECH
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