Robot control method and system based on gesture distribution template action recognition

A technology of motion recognition and control method, applied in the field of pattern recognition, can solve problems such as inaccurate gesture recognition results, easy recognition of wrong results, etc., and achieve the effect of improving robustness, accuracy, and small amount of calculation

Pending Publication Date: 2022-05-13
重庆特斯联智慧科技股份有限公司
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Problems solved by technology

The problem with this method is that the same gesture can easily recognize wrong results

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  • Robot control method and system based on gesture distribution template action recognition
  • Robot control method and system based on gesture distribution template action recognition
  • Robot control method and system based on gesture distribution template action recognition

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[0068] The present application will be further described below with reference to the accompanying drawings. The following examples are only used to more clearly illustrate the technical solutions of the present invention, and cannot be used to limit the protection scope of the present application.

[0069] The embodiment of the present application is a robot for sending and receiving express delivery, and it is necessary to recognize gestures and actions of people around its destination, and perform different machine instructions according to different gestures. The courier is taken out or put in; the waving action corresponds to greeting the robot that receives and dispatches the courier, asking it to stop and not continue to move forward; the user can edit different gestures corresponding to different robot instructions for different application scenarios.

[0070] In the first aspect, the present application proposes a robot control method based on gesture distribution temp...

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Abstract

The invention provides a robot control method and system based on gesture distribution template action recognition, and belongs to the field of mode recognition, and the system comprises the steps: creating various gesture distribution templates and robot instructions corresponding to the gesture distribution templates; collecting a human body external cuboid of a to-be-recognized object; the human body external cuboid of the to-be-recognized object is divided into N * M * P small cubes; calculating each matching probability corresponding to each gesture distribution template; taking the matching probability which exceeds the minimum threshold value and is the maximum value as a final matching result; and executing a robot instruction corresponding to the gesture distribution template. The system comprises a template instruction creation module, an acquisition module, a segmentation module, a calculation module, a matching result module and an execution module. According to the method, the robustness and accuracy of action recognition are improved, the calculated amount is small, and the method is suitable for online real-time recognition.

Description

technical field [0001] The present application belongs to the technical field of pattern recognition, and in particular relates to a robot control method and system for motion recognition based on gesture distribution templates. Background technique [0002] With the development of robot technology, recognition based on gestures has been widely used. Among them, the robot for sending and receiving express delivery needs some kind of technology to enable people and machines to communicate smoothly. In the existing technology, voice or mobile phone is usually used to input a series of However, in practical applications, because the environment of the courier robot is noisy, the voice has very strong noise, and it is difficult to recognize accurately; it is not suitable to use a mobile phone to input a series of operations to communicate with the robot. Elderly people who use mobile phones often encounter insurmountable problems in places with poor mobile phone signals. [000...

Claims

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Application Information

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IPC IPC(8): G06F3/01G06K9/62G06V10/75
CPCG06F3/017
Inventor 衡进孙贇姚郁巍苏瑞
Owner 重庆特斯联智慧科技股份有限公司
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