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Noncontact type mouse control method based on video sequence recognition

A video sequence, non-contact technology, applied in character and pattern recognition, mechanical mode conversion, input/output of user/computer interaction, etc. The effect of improving the detection rate

Inactive Publication Date: 2011-09-14
DALIAN NATIONALITIES UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The detection rate of the existing face detection technology cannot meet the real-time requirements

Method used

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  • Noncontact type mouse control method based on video sequence recognition
  • Noncontact type mouse control method based on video sequence recognition
  • Noncontact type mouse control method based on video sequence recognition

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Experimental program
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Embodiment Construction

[0032] The present invention will be further described below in conjunction with the accompanying drawings. Such as figure 1 The system operation flowchart of the present invention, the present invention uses Windows operating system, Visual Studio 2008 as development platform.

[0033] The system of the present invention can be set to run automatically after booting or to start after booting. For the handicapped, the system can be set to run automatically after the system is installed. After the computer is turned on, the system runs automatically, drives the camera, and starts to collect face video images by the camera. If the operator is not in the camera area, the system will not respond. Only after the human face image is detected and the operator's movement is recognized, the corresponding mouse action will be executed.

[0034] If the system collects a face image and judges that the operator's mouth movement is "no movement", the mouse does not respond, such as f...

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Abstract

The invention discloses a noncontact type mouse control method based on video sequence recognition, which comprises the following steps: acquiring a video; detecting a human face; pre-treating a human face image; positioning lips; extracting a tongue action feature vector; recognizing the tongue action; and arousing the mouse operation. According to the method, the mouse operation is controlled by utilizing the lip and tongue action recognition, thereby helping the disabled people who lost the hands to control the mouse. By using the method, the head and eyes of an operator can freely act and are not limited, thereby bringing convenience to the daily use of computers. The traditional face detection method which is realized by using an adaptive enhanced AdaBoost algorithm has an image detection rate being 15 frames per second and cannot meet the real-time demand in the image detection field. By adopting a strategy of adjusting the size of the image acquired by a camera in the method, the face detection is realized on the small image, the detection rate is increased and the detection rate can be increased to 25 frames per second.

Description

technical field [0001] The invention relates to a computer mouse system, in particular to a non-contact mouse control method based on video sequence identification. Background technique [0002] The basic device for computer operation is the mouse. The current hardware mouse system requires manual operation, but for the handicapped, the inability to operate the mouse means that the computer cannot be used. [0003] In order to facilitate the use of computers by handicapped people, people have developed a human-computer interaction method based on face pose estimation. This method constructs a visual mouse device based on face feature point positioning and pose detection. By extracting two corners of the eyes, two A total of 5 feature points of mouth corner and nose tip are used to estimate the 3 deflection angles of the real-time face image, corresponding to the mouse position and operation mode, based on the corresponding feature point positions of a frontal image. And us...

Claims

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Application Information

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IPC IPC(8): G06F3/01G06K9/00G06K9/62
Inventor 刘勇奎王巍王鹏辛慧杰
Owner DALIAN NATIONALITIES UNIVERSITY
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