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Human-computer interaction method for intelligent wheelchair based on double-hybrid lip shape feature extraction

A feature extraction, human-computer interaction technology, applied in computer parts, instruments, character and pattern recognition, etc., can solve the problems of limited crowd range, not suitable for users with inconvenient upper limbs, etc.

Active Publication Date: 2016-09-28
CHONGQING UNIV OF POSTS & TELECOMM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the traditional sense, smart wheelchairs control the movement through manual joysticks, but they are not suitable for users with handicapped upper limbs, so the range of people who can be applied is limited

Method used

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  • Human-computer interaction method for intelligent wheelchair based on double-hybrid lip shape feature extraction
  • Human-computer interaction method for intelligent wheelchair based on double-hybrid lip shape feature extraction
  • Human-computer interaction method for intelligent wheelchair based on double-hybrid lip shape feature extraction

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Embodiment 1

[0048] The dual-hybrid lip shape feature extraction method in this embodiment refers to a lip shape feature extraction method that uses a mixture of DT_CWT and DCT. Aiming at the lip shape feature extraction link in the field of lip shape recognition technology, the present invention proposes a hybrid dual-tree complex wavelet (Dual-Tree Complex Wavelet Transform, DT_CWT) and discrete cosine transform (Discrete Cosine Transform, DCT) for lip shape feature extraction Methods.

[0049] Since DT_CWT filtering has approximate translation invariance, after DT_CWT filtering, the difference between the eigenvalues ​​of the same lip shape at different positions in the ROI will be small, and the lip shape recognition error caused by the offset of the lip in the ROI position will be overcome. Influence; then DCT transformation is performed on the lip feature vector extracted by DT_CWT, so that the lip features extracted after DT_CWT transformation are concentrated in the larger coeffici...

Embodiment 2

[0088] The difference between this embodiment and embodiment 1 is only:

[0089] In this embodiment, DT_CWT filtering is first performed on the lips. Since DT_CWT has approximately translation invariance, after DT_CWT filtering, the difference between the eigenvalues ​​of the same lip shape at different positions in the ROI will be small, which overcomes the problem of the lips being in the ROI. lip shape recognition error due to position offset; then DCT transform is performed on the lip feature vector extracted by DT_CWT, so that the lip features extracted after DT_CWT transform are concentrated in the larger coefficients after DCT transform, so that the feature vector Contains the largest amount of information in the lips, and at the same time achieves the effect of dimensionality reduction.

[0090] According to the principle of DT_CWT transformation, an image will produce 6 directions at each level after this transformation (θ∈{+15°,+45°,+75°,-75°,-45°,-15°} ), a matrix ...

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Abstract

The invention discloses an intelligent wheelchair man-machine interaction method based on double-mixture lip feature extraction, and relates to the field of feature extraction and recognition control of a lip recognition technology. The method includes the steps of firstly, conducting DT_CWT filtering on a lip, then, conducting DCT conversion on a lip feather vector extracted through the DT_CWT so that the lip features extracted after conversion is conducted through the DT_CWT can be concentrated in a large coefficient obtained after the DCT conversion, enabling the feature vector to contain the largest amount of lip information, and enabling the effect of dimensionality reduction to be achieved at the same time, wherein due to the fact that the DT_CWT has approximate translation invariance, the difference between feature values of the same lip in different positions in an ROI is small after the DT_CWT filtering is conducted, and the influence produced when the lip recognition is wrong due to position offset of the lip in the ROI is eliminated. According to the intelligent wheelchair man-machine interaction method, the lip recognition rate is greatly improved, and the robustness of a lip recognition system is improved.

Description

technical field [0001] The invention relates to the field of lip visual information analysis and recognition control, in particular to a feature extraction method in a lip shape processing system. Background technique [0002] In today's society, the aging rate of the world's population is constantly accelerating, and the number of people with disabilities caused by various diseases and disasters is also increasing year by year. Many factors have caused the elderly and disabled people to have different degrees of physical defects, especially the lower limb movement disorders have brought them great inconvenience and prevented them from living a normal life. For this reason, barrier-free technology has gradually entered people's sight and has received extensive attention. [0003] Barrier-free technology is the use of advanced science and technology to provide effective assistive means for the elderly and the disabled so that they can reintegrate into society. Human-compute...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/46G06K9/36
Inventor 张毅罗元刘想德徐晓东林海波崔叶
Owner CHONGQING UNIV OF POSTS & TELECOMM
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