Hand motion automatic correction and recognition method based on electroencephalogram signal detection

An EEG signal and hand motion technology, applied in character and pattern recognition, computer components, electrical digital data processing, etc., can solve the problems of reduced applicable population and lack of detection methods and methods, so as to improve the recognition rate and application prospects. Wide and accurate recognition results

Inactive Publication Date: 2016-06-08
TONGJI UNIV
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AI Technical Summary

Problems solved by technology

Movement training using automatic correction of hand movements can be used as a means of human limb rehabilitation, and movement detection methods are an important part of the rehabilitation training system. For patients with normal or slightly impaired hand movements, motion capture equipment can be used to detect them Actions, such as

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  • Hand motion automatic correction and recognition method based on electroencephalogram signal detection
  • Hand motion automatic correction and recognition method based on electroencephalogram signal detection

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[0021] Examples:

[0022] The automatic correction of hand movement is a special human hand movement process. When humans stretch their fingers and other movements, the corresponding hand movement will be adjusted quickly and without intentional control following the sudden change of the target object. , The detection method in the present invention is to detect the completion of this action process, and get the result of whether it is completed correctly. It is mainly used in the rehabilitation exercise training system, when the subject (or patient) performs this action A feedback result, so that the rehabilitation exercise training system can give the test (or patient) real-time results, which is helpful to guide their further rehabilitation training.

[0023] ERP is event-related potential, which refers to the potential that causes EEG when the brain performs cognitive processing of a certain event. Each ERP component is described by the amplitude V and the latency L. The ERP co...

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Abstract

The invention relates to a hand motion automatic correction and recognition method based on electroencephalogram signal detection. The method includes the following steps that 1, ERP components of electroencephalogram signals of a healthy subject are acquired; 2, electroencephalogram signals, in a corresponding brain area, of a patient suffering from serious motion limitation are acquired; 3, a feature calculation time window Fw is set, the peak value, the mean value Mean, the standard deviation SD, the correlation coefficient CORR of collected electrode signals, the autoregression model coefficient AR and the electroencephalogram signal energy E, in the feature calculation time window Fw, of the electroencephalogram signals in the finger motion automatic correction test of the healthy subject are acquired, and the peak value, the mean value Mean, the standard deviation SD, the correlation coefficient CORR of collected electrode signals, the autoregression model coefficient AR and the electroencephalogram signal energy E, in the feature calculation time window Fw, of the electroencephalogram signals in the finger motion automatic correction test of the patient suffering from serious limitation are acquired; 4, classification and recognition are carried out through a binary classification support vector machine, and whether a motion completed by the subject in the hand motion automatic correction test is a correctly-completed automatically-corrected motion is judged. Compared with the prior art, the method has the advantages of being applicable to hand motion automatic correction, accurate in recognition result, broad in application prospect and the like.

Description

Technical field [0001] The invention relates to the field of brain electrical signal detection, in particular to a method for automatically correcting and identifying hand movements based on brain electrical signal detection. Background technique [0002] Human motion detection refers to the analysis and recognition of human motion patterns. It is a hot issue in the field of pattern recognition in recent years. It is widely used in many fields such as human-computer interaction, motion analysis, and medical rehabilitation. The automatic correction of human hand movements is a special and extremely important action behavior. When humans stretch their fingers and other actions, the corresponding hand movements will be adjusted quickly and without intentional control following the sudden change of the target object. , And the brain area of ​​the posterior parietal cortex is considered to be the brain neural basis of the automatic steering behavior mechanism of the hand. Movement tr...

Claims

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Application Information

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IPC IPC(8): G06F3/01G06K9/62
CPCG06F3/015G06F3/017G06F2203/011G06F18/2411
Inventor 宋亚林孙杳如张虹王子剑庞子龙王大明
Owner TONGJI UNIV
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