Mouse recognition method for gesture based on machine vision

A recognition method, machine vision technology

Inactive Publication Date: 2012-04-04
SOUTH CHINA UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The method based on the data glove requires the user to wear a glove-like sensor to obtain the position and movement information of the hand through the computer. This method has disadvantages such as cumbersome and inflexible
Most of the existing machine-based methods use the method of skin color extraction to segment the gesture area. This method is greatly affected by the light, and usually requires the video acquisition area to be limited to a small range of the hand area, which limits the movement of the human hand. scope

Method used

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  • Mouse recognition method for gesture based on machine vision
  • Mouse recognition method for gesture based on machine vision
  • Mouse recognition method for gesture based on machine vision

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Experimental program
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Embodiment

[0068] The gesture mouse recognition method of the present invention is based on a gesture mouse system. The gesture mouse system of this embodiment is composed of an image acquisition module, an image processing module and a mouse event response module. The image acquisition module includes a camera, which is responsible for collecting the user's image in real time and transmitting it to the processing module.

[0069] The image processing module and the mouse event response module are completed by a computer, wherein the image processing module runs various image processing algorithms to analyze the user's image in real time, and converts the movement of the user's hands and fingers into corresponding control instructions. The mouse event response module accepts the control instructions sent by the image processing module, and converts the corresponding instructions into mouse response events.

[0070] Such as figure 1 As shown, the machine-based gesture mouse recognition m...

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Abstract

The invention discloses a mouse recognition method for gesture based on machine vision, comprising the following steps: (1) establishing an active shape model for gestures; (2) off-line training for gestures and getting a gesture features classifier; (3) collecting images; (4) extracting partial binary pattern characteristics for the images, searching the target gesture among the images through the gesture features classifier from step (2), then step (5); (5) positioning on the fingertips; (6) mapping of mouse. The invention is a natural and intuitive way of human-computer interaction, and has advantages of no need to carry other auxiliary equipments, finishing the mouse operation through natural hand and finger movement, small influence by light and background, and freely operation right switch when multi-users are operating the computer.

Description

technical field [0001] The invention relates to machine vision technology and human-computer interaction technology, in particular to a gesture mouse recognition method based on machine vision. Background technique [0002] With the development of computer technology, the interaction between human and computer has become an important part of human daily life. The mouse is mainly used in the human-computer interaction of the graphical interface, but in the interaction process, the human hand must hold a mouse device and move it on a plane. There are certain limitations in all aspects, so the study of human-computer interaction methods that conform to the natural habits of human beings has become a development trend in the field of human-computer interaction. [0003] Gesture-based human-computer interaction technology mainly judges the operation that the user needs to perform by recognizing the change of the user's gesture. It is divided into two categories based on receipt...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F3/01G06K9/00G06K9/62
Inventor 徐向民孙骁
Owner SOUTH CHINA UNIV OF TECH
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