sEMG self-adaptive mode recognition method based on on-line SVM and application of method on intelligent wheelchair

A pattern recognition and self-adaptive technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as lack of self-adaptive ability, and achieve the effect of improving self-adaptive ability, good self-adaptive ability, and natural and friendly interaction

Inactive Publication Date: 2015-03-25
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0006] In view of this, the purpose of the present invention is to provide a sEMG adaptive pattern recognition method based on online SVM and its application on intelligent wheelchairs, which can solve the problem of long-term human-computer interaction systems based on sEMG. The problem of lack of adaptive ability in the process of computer interaction

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  • sEMG self-adaptive mode recognition method based on on-line SVM and application of method on intelligent wheelchair
  • sEMG self-adaptive mode recognition method based on on-line SVM and application of method on intelligent wheelchair
  • sEMG self-adaptive mode recognition method based on on-line SVM and application of method on intelligent wheelchair

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[0017] The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0018] The technical solution provided by the invention is an online SVM-based sEMG adaptive pattern recognition method and its application to intelligent wheelchairs. Such as figure 1 As shown, the method is specifically as follows: on the basis of realizing the sEMG feature extraction of the AR model for the single-click and double-click of the masticatory muscles, through the comparative analysis of the basic theory of SVM and its training methods, the incremental learning method is finally used to realize the SVM Then select samples according to a new method of sample selection and forgetting, and at the same time introduce the head visual information obtained by Kinect as the correction information of the system during the sample update process to prevent muscle fatigue and transient signal and the effect of unconscious actions on the...

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Abstract

The invention relates to an sEMG self-adaptive mode recognition method based on an on-line SVM and application of the method on an intelligent wheelchair and belongs to the technical field of surface electromyogram signal recognition and control. According to the method, the incremental learning algorithm is adopted to perform on-line training on an SVM model, and meanwhile head information is introduced in the on-line learning process and serves as correction information to jointly form a classifier of an sEMG; effective recognition is achieved on the sEMG at different muscle states, influences on the stability of a man-machine interactive system by muscle fatigue are reduced, and finally the method is successfully applied to the intelligent wheelchair. The method effectively improves the self-adaptive capacity of the system in the long-term man-machine interaction process, and the interaction can be more natural and friendlier.

Description

technical field [0001] The invention belongs to the technical field of surface electromyography signal recognition control, and relates to an online SVM-based sEMG self-adaptive pattern recognition method and its application on an intelligent wheelchair. Background technique [0002] Human-computer interaction technology is listed as a key technology in the information industry's key research in all countries in the world, and has become a focus of technology competition among countries. In the national key technology of the United States, this technology is said to be "extremely important to the computer industry and also very important to other industries", and it is also listed as one of the six key technologies in the information industry technology alongside computers and software. . [0003] Research on human-computer interaction systems based on surface electromyography (sEMG) has produced far-reaching scientific and social significance in sports, rehabilitation and ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/66
CPCG06F18/2413
Inventor 张毅罗元刘想德林海波徐晓东胡豁生
Owner CHONGQING UNIV OF POSTS & TELECOMM
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