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Measurement method and device of difference between facial expressions

A technology of facial expressions and measurement methods, which is applied in diagnostic recording/measurement, medical science, sensors, etc., can solve the problems of high cost, complex measurement, unfavorable wide use, etc., and achieve the effect of simple structure and high accuracy

Inactive Publication Date: 2012-03-28
SUZHOU UNIV
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Problems solved by technology

[0005] In view of this, the present invention provides a method and device for measuring differences in facial expressions to overcome the problem in the prior art that the equipment for measurement is relatively complicated and costly, which is not conducive to being widely used

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  • Measurement method and device of difference between facial expressions
  • Measurement method and device of difference between facial expressions
  • Measurement method and device of difference between facial expressions

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Embodiment 1

[0042] Please refer to the attached figure 1 , the flow chart of a method for measuring facial expression differences disclosed by the present invention mainly includes the following steps:

[0043] Step S101, determining the test points, the test points being the auricle-frontal points of the left ear and the right ear.

[0044] The process of determining the test point in step S101 is the process of selecting acupoints. The selected acupoints are the auricle-frontal acupoints of the left ear and the right ear respectively.

[0045] Step S102, acquiring two sets of active near-infrared transmission voltage signals output by the test point before and after the test facial expression change.

[0046] When performing step S102, two different expressions before and after the subject are tested respectively, and two sets of active infrared transmission voltage signals output by the test points corresponding to the two expressions are obtained. The ear-frontal points and the righ...

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Abstract

The invention discloses a measurement method and a device of a difference between facial expressions. By two near-infrared probes arranged at ear frontal acupoints of left and right ears, signals reflected by the brain frontal regions corresponding to the ear frontal acupoints are extracted by a signal extraction circuit, the extracted signals are input by an X channel and a Y channel of an oscilloscope, and are displayed on the oscilloscope in a way of Lissajous figures superimposed into ball spots in an X-Y working mode, and a facial expression is identified by comparing the differences between areas comprised in corresponding ball spot movement trajectories before and after the facial expression changes. In the measurement method and device, only two near-infrared probes are utilized to measure the ear frontal acupoints corresponding to the brain frontal regions, and the ball spots superimposed by the Lissajous figures displayed by the extracted ear frontal acupoint signals on the oscilloscope are directly compared, accordingly, the accuracy is high, the structure is simple, the external filtering is not needed and the interference of noise is not considered, the method and device can be used for being tested in various environments, and can be widely used and popularized.

Description

technical field [0001] The present invention relates to the technical field of biological signal measurement, and more specifically relates to a method and device for measuring differences in facial expressions. Background technique [0002] Smiling is a subtle movement unique to human beings and a facial expression with a high frequency. When humans perform this action, it can relieve stress and relax the mind. [0003] Modern research on the brain mechanism of smiling expressions shows that: the left prefrontal cortex of the human brain is mainly responsible for positive emotions; the right prefrontal cortex is mainly responsible for negative emotions. At present, the most widely used method in the prior art is to measure the chemical, electrical and magnetic characteristics of the human brain non-destructively for distinguishing the differences in the characteristics of human facial expressions. Based on the above methods, it mainly includes magnetic resonance spectrosco...

Claims

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Application Information

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IPC IPC(8): A61B5/00
Inventor 李文石李雷
Owner SUZHOU UNIV
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