CN-121971065-A - Ache grade identification method and device based on ejection amount of 3D massage machine core

CN121971065ACN 121971065 ACN121971065 ACN 121971065ACN-121971065-A

Abstract

The invention discloses a pain level identification method and device based on the ejection amount of a 3D massage machine core, which comprises the steps of acquiring capacitance changes of a human body acquired in a current movement period of the 3D massage machine core, converting the capacitance changes of the human body to obtain voltage values at each moment, fitting the voltage values at each moment to obtain a fitting line of the voltage values changing with time, acquiring the ejection amount of the 3D massage machine core in the current movement period, responding to the fact that a crest exists in the fitting line, and the ejection amount of the 3D massage machine core corresponding to the moment of the crest is the maximum value, calculating the slope of an ascending section of the fitting line before the moment of the crest, determining the pain level in the current movement period based on the slope of the ascending section of the fitting line, and repeating the steps to obtain the pain levels in a plurality of movement periods for the same 3D massage machine core of the same massage part, and carrying out statistics and filtering treatment to obtain the final pain level. The invention can accurately detect the massage ache grade and has strong anti-interference capability.

Inventors

ZHU JINGTAO
XU TIEXIANG
HONG HUINENG

Assignees

奥佳华智能健康科技集团股份有限公司
厦门蒙发利电子有限公司

Dates

Publication Date: 20260505
Application Date: 20251230

Claims (10)

1. A ache grade identification method based on the ejection quantity of a 3D massage machine core is characterized by comprising the following steps: Acquiring the capacitance change of a human body acquired in the current movement period of the 3D massage movement, converting the capacitance change into a voltage value at each moment, and fitting the voltage value at each moment to obtain a fitting line of the voltage value changing along with time; Acquiring the ejection quantity of the 3D massage machine core in the current motion period, and calculating the slope of the ascending section of the fitting line before the moment of the wave crest in response to the fact that the wave crest exists in the fitting line and the ejection quantity of the 3D massage machine core corresponding to the moment of the wave crest is the maximum value; Determining a pain level in the current movement period based on the slope of the rising segment of the fitted line; Repeating the steps to obtain the ache grades in a plurality of movement periods aiming at the same 3D massage machine core of the same massage part, and carrying out statistics and filtering treatment to obtain the final ache grade.
2. The method for identifying the ache grade based on the ejection amount of the 3D massage machine core according to claim 1, wherein the step of determining the ache grade in the current movement period based on the slope of the rising section of the fitting line comprises the following steps: In response to determining that the slope of the rising segment of the fitted line is less than or equal to a first threshold, determining that the level of soreness within the current movement period is mild; in response to determining that the slope of the rising segment of the fitted line is greater than a first threshold and less than or equal to a second threshold, determining that the level of soreness within the current movement period is moderate; In response to determining that the slope of the rising segment of the fitted line is greater than a second threshold, the level of soreness within the current movement period is determined to be severe.
3. The method for identifying a pain level based on the ejection amount of a 3D massage machine according to claim 1, wherein the statistics include a mode of preference.
4. The method for recognizing a pain level based on the ejection amount of a 3D massage movement according to claim 3, wherein the filtering process comprises: If the current acid pain level obtained by statistics differs from the acid pain level obtained by the last statistics by 2 levels, setting the final acid pain level as a moderate level; If the difference between the current acid pain grade and the last acid pain grade is less than 2 grades, setting the current acid pain grade as a final acid pain grade.
5. The method for recognizing a pain level based on the ejection amount of a 3D massage movement according to claim 1, further comprising: In response to determining that a peak exists in the fitting line, and the ejection amount of the 3D massage machine core corresponding to the moment of the peak is not the maximum value, determining whether the maximum value of the ejection amount of the 3D massage machine core is within a front time threshold and a rear time threshold of the moment of the peak, if so, performing offset calibration on the fitting line to enable the ejection amount of the 3D massage machine core corresponding to the moment of the peak to be the maximum value, and then calculating the slope of the ascending section of the fitting line before the moment of the peak, otherwise, not calculating the slope of the ascending section of the fitting line before the moment of the peak.
6. The method for identifying the pain level based on the ejection amount of the 3D massage machine core according to claim 1, wherein the voltage value is the same as the sampling frequency of the ejection amount of the 3D massage machine core, the voltage value is obtained by adopting a charge-discharge integral type C-V conversion circuit and is subjected to data processing and filtering, and the calculation formula of the ejection amount of the 3D massage machine core is as follows: ; Wherein, the And (3) representing the ejection amount at the T-th moment in the current motion period, constructing a coordinate axis by taking the starting point of the 3D massage machine core as an origin, taking the direction parallel to the ground as an x axis, taking the direction vertical to the ground as a y axis, and respectively representing the coordinates of the 3D massage machine core at the T-th moment in the current motion period in the x axis and the y axis.
7. Ache grade identification device based on 3D massage core ejection volume, characterized by comprising: The data processing module is configured to acquire the capacitance change of the human body acquired in the current movement period of the 3D massage machine core, convert the capacitance change into a voltage value at each moment, and fit the voltage value at each moment to acquire a fitting line of the voltage value changing along with time; the data calculation module is configured to acquire the ejection amount of the 3D massage machine core in the current movement period, and calculate the slope of the ascending section of the fitting line before the moment of the wave crest in response to the fact that the wave crest exists in the fitting line and the ejection amount of the 3D massage machine core corresponding to the moment of the wave crest is the maximum value; a judging module configured to determine a pain level in a current movement period based on a slope of a rising segment of the fitted line; The ache grade determining module is configured to repeat the steps for the same 3D massage machine core of the same massage part to obtain the ache grade in a plurality of movement periods, and perform statistics and filtering treatment to obtain the final ache grade.
8. An electronic device, comprising: One or more processors; storage means for storing one or more programs, When executed by the one or more processors, causes the one or more processors to implement the method of any of claims 1-6.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the method according to any of claims 1-6.
10. A computer program product comprising a computer program which, when executed by a processor, implements the method according to any of claims 1-6.

Description

Ache grade identification method and device based on ejection amount of 3D massage machine core Technical Field The invention relates to the field of massage detection, in particular to a ache grade identification method and device based on the ejection quantity of a 3D massage machine core. Background Nowadays, the massage equipment has higher and higher requirements for human body detection, and the pain grades of all parts of the human body are required to be collected for targeted massage and relaxation. The existing massage products have poor accuracy in detecting the ache grade of the human body part, different data measured by different people can lead to different feedback and detraction of the massage products in the market, and a unified solution is needed to solve the problem of inaccurate ache grade detection. The inaccuracy of the pain class detection may be caused by several aspects: 1. Different palm sizes or grips the difference caused by different method forces. The existing mode may need to judge the degree of soreness by the grip strength of the hand, but the palm sizes or the grip strength of different people are different, so that larger errors exist in detection by the mode. 2. Different ages cause a difference in body perspiration. Perspiration resulting from sympathetic activation may be related to stress or body pain, and if soreness results in the body being in a stressed state, may increase the amount of body perspiration, resulting in an inaccurate way of detecting the degree of soreness by detecting the amount of body perspiration. Disclosure of Invention The application aims to provide a ache grade identification method and device based on the ejection quantity of a 3D massage machine core aiming at the technical problems. In a first aspect, the invention provides a method for identifying a pain level based on the ejection amount of a 3D massage machine core, which comprises the following steps: Acquiring the capacitance change of a human body acquired in the current movement period of the 3D massage movement, converting the capacitance change into a voltage value at each moment, and fitting the voltage value at each moment to obtain a fitting line of the voltage value changing along with time; Acquiring the ejection amount of the 3D massage machine core in the current movement period, and calculating the slope of the ascending section of the fit line before the moment of the wave crest if the wave crest exists in the fit line and the ejection amount of the 3D massage machine core corresponding to the moment of the wave crest is the maximum value; Determining a pain level in the current movement period based on a slope of the rising segment of the fit line; Repeating the steps to obtain the ache grades in a plurality of movement periods aiming at the same 3D massage machine core of the same massage part, and carrying out statistics and filtering treatment to obtain the final ache grade. Preferably, the method for determining the pain level in the current movement period based on the slope of the rising section of the fit line specifically comprises the following steps: in response to determining that the slope of the rising segment of the fitted line is less than or equal to a first threshold, determining that the level of soreness within the current movement period is mild; in response to determining that the slope of the rising segment of the fit line is greater than the first threshold and less than or equal to the second threshold, determining that the level of soreness within the current movement period is moderate; In response to determining that the slope of the rising segment of the fitted line is greater than a second threshold, the level of soreness within the current movement period is determined to be severe. Preferably, the statistics include a mode. Preferably, the filtering process includes: if the current acid pain grade obtained by statistics is different from the acid pain grade obtained by the previous statistics by 2 grades, setting the final acid pain grade as a middle grade; If the difference between the current acid pain grade and the last acid pain grade is less than 2 grades, the current acid pain grade is set as the final acid pain grade. Preferably, the method further comprises: In response to determining that the fitting line has a peak, and the ejection amount of the 3D massage machine core corresponding to the moment of the peak is not the maximum value, determining whether the maximum value of the ejection amount of the 3D massage machine core is within a time threshold before and after the moment of the peak, if so, performing offset calibration on the fitting line to enable the ejection amount of the 3D massage machine core corresponding to the moment of the peak to be the maximum value, and then calculating the slope of the rising section of the fitting line before the moment of the peak, otherwise, not calculating the slope of the rising secti