Visual gesture recognition system recognition method

A gesture recognition and system recognition technology, applied in the field of visual gesture recognition system recognition, can solve problems such as low recognition accuracy, achieve the effects of simple operation, enriching functional requirements and usage scenarios, and reducing complexity and storage capacity

Pending Publication Date: 2022-05-06
BEIJING MXTRONICS CORP +1
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  • Claims
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AI Technical Summary

Problems solved by technology

[0004] The technical problem solved by the present invention is: Aiming at the problem in the current prior art that the existing gesture recognition technology can only recognize hand images and the recognition accuracy is low, a recognition method of a visual gesture recognition system is proposed

Method used

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  • Visual gesture recognition system recognition method
  • Visual gesture recognition system recognition method

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Embodiment Construction

[0028] A visual gesture recognition system recognition method, first detects whether there is a hand in the current input image, then tracks the position of the hand in the input image and returns 21 key points and their position information, and finally combines these key points with the defined The location node information is compared to get the corresponding gesture, thus overcoming the disadvantage that the input image is only limited to the hand image, and adding new gestures is too complicated. The specific design steps are as follows:

[0029] (1) Call the camera to obtain the current gesture picture and pass it to the palm detection module to detect whether there is a palm in the input image. If there is a palm in the current input image, describe the corresponding area of ​​the input image through a rectangular frame, then enter step (2) ;

[0030] Among them, the detection of the palm is specifically:

[0031] Obtain the Rect area by performing grayscale detection ...

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Abstract

The invention discloses a visual gesture recognition system and method. A palm detection module is designed by utilizing rigid characteristics of a palm to detect whether a hand exists in a current image or not; after it is detected that the hand exists in the current image, 21 3D hand skeleton key point coordinates are positioned in the detected hand area; and identifying a specific gesture according to the obtained position relationship between the key points. Compared with a touch key mode, non-contact man-machine interaction can be achieved, and a new scheme is provided for man-machine interaction.

Description

technical field [0001] The invention relates to a recognition method of a visual gesture recognition system, which belongs to the field of artificial intelligence image recognition. Background technique [0002] At present, the most mainstream human-computer interaction method is to operate through touch or buttons. However, in some special cases such as the weightless environment in space, the interaction effect of touch and buttons cannot meet the requirements for accuracy. The vision-based gesture recognition system can enable the operator to perform human-computer interaction with bare hands in a more natural way. It is easy to operate and does not have high requirements for software and hardware performance compared with traditional touch methods. It is the future of human-computer interaction. an important development trend. Gesture recognition technology is one of the key technologies for improving user experience in various technical fields and application platforms...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V40/10G06V40/20G06V10/762G06F3/01
CPCG06F3/017G06F18/23
Inventor 陈勃旭于立新孟晓秦智勇庄伟朴泉宇姜爽毛鹤立李易昂
Owner BEIJING MXTRONICS CORP
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