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CN-121987472-A - Intelligent massager control method, intelligent massager, equipment and storage medium

CN121987472ACN 121987472 ACN121987472 ACN 121987472ACN-121987472-A

Abstract

The application discloses an intelligent massager control method, an intelligent massager, equipment and a storage medium, which relate to the technical field of massage control, acquire feedback physiological data of the intelligent massager, determine feedback characteristic data according to the feedback physiological data, determine fatigue grade of a user according to the feedback characteristic data, and determine massage control parameters according to the fatigue grade so as to control the intelligent massager based on the massage control parameters. The application improves the control intelligence of the massager.

Inventors

  • LIN WENHONG

Assignees

  • 深圳市倍轻松科技股份有限公司

Dates

Publication Date
20260508
Application Date
20251219

Claims (10)

  1. 1. An intelligent massager control method, which is characterized by comprising the following steps: acquiring feedback physiological data of the intelligent massager, and determining feedback characteristic data according to the feedback physiological data; And determining the fatigue level of the user according to the feedback characteristic data, and determining a massage control parameter according to the fatigue level so as to control the intelligent massager based on the massage control parameter.
  2. 2. The intelligent massager control method of claim 1 wherein the step of determining feedback characteristic data from the feedback physiological data comprises: determining a target feedback signal in the feedback physiological data within a preset frequency band, wherein the target feedback signal comprises a plurality of continuous time period signals; And determining the amplitude, the signal main frequency, the signal energy distribution and the signal to noise ratio in the time period signal based on a preset rule, and taking the amplitude, the signal main frequency, the signal energy distribution and the signal to noise ratio as feedback characteristic data, wherein the preset rule comprises one of an averaging rule, a mode taking rule and a weighted averaging rule.
  3. 3. The intelligent massager control method of claim 1 wherein the fatigue level comprises a relaxed state, a light fatigue, a moderate fatigue, and a heavy fatigue, the step of determining the fatigue level of the user from the feedback characteristic data comprising: determining that the fatigue level of the user is the relaxed state under the condition that the feedback characteristic data meets a first characteristic condition; determining that the fatigue level of the user is the mild fatigue under the condition that the feedback characteristic data meets a second characteristic condition; under the condition that the feedback characteristic data meets a third characteristic condition, determining the fatigue level of the user as the moderate fatigue; And under the condition that the feedback characteristic data meets a fourth characteristic condition, determining the fatigue level of the user as the severe fatigue, wherein in the first characteristic condition, the second characteristic condition, the third characteristic condition and the fourth characteristic condition, the amplitude in the feedback characteristic data is sequentially increased, the main frequency of signals in the feedback characteristic data is sequentially decreased, the signal energy distribution in the feedback characteristic data is sequentially dispersed, and the signal to noise ratio in the feedback characteristic data is sequentially reduced.
  4. 4. The intelligent massager control method of claim 3 wherein the step of determining feedback characteristic data from the feedback physiological data comprises: And determining that the fatigue level of the user is one of the mild fatigue or the relaxed state if none of the feedback feature data satisfies the first feature condition, the second feature condition, the third feature condition, and the fourth feature condition.
  5. 5. The intelligent massager control method of claim 1 wherein the step of determining a massage control parameter based on the fatigue level comprises: under the condition that the fatigue level is in a relaxed state, determining a massage control parameter as a first massage parameter, wherein the first massage parameter comprises a kneading manipulation control parameter; under the condition that the fatigue level is mild fatigue, determining a massage control parameter as a second massage parameter, wherein the second massage parameter comprises a pushing manipulation control parameter; under the condition that the fatigue level is moderate fatigue, determining that the massage control parameter is a third massage parameter, wherein the third massage parameter comprises a pushing manipulation control parameter; And under the condition that the fatigue level is severe fatigue, determining a massage control parameter as a fourth massage parameter, wherein the fourth massage parameter comprises a pushing method control parameter, and the vibration frequency, the massage hot compress temperature and the massage duration of the massage are sequentially increased in the first massage parameter, the second massage parameter, the third massage parameter and the fourth massage parameter.
  6. 6. The intelligent massager control method of claim 5 wherein after the step of determining a massage control parameter based on the fatigue level comprises: Acquiring latest feedback physiological data under the control of the massage control parameters, and determining difference characteristic data in the latest feedback physiological data; And adjusting the massage control parameter under the condition that the difference characteristic data does not meet the preset relieving condition, wherein the adjustment of the massage control parameter comprises at least one of increasing the vibration frequency, the massage hot compress temperature and the massage duration.
  7. 7. The intelligent massager control method of any one of claims 1-6 wherein after the step of determining feedback characteristic data from the feedback physiological data, it comprises: under the condition that the amplitude in the feedback characteristic data is smaller than a preset threshold value, determining a feedback temperature value and a frequency band characteristic in the feedback physiological data; And executing the next step of acquiring the feedback physiological data of the intelligent massager under the condition that the feedback temperature value is matched with a preset temperature range or the frequency band characteristic is matched with a preset interference characteristic.
  8. 8. An intelligent massager is characterized in that, the intelligent massager includes: the data acquisition module is used for acquiring feedback physiological data of the intelligent massager and determining feedback characteristic data according to the feedback physiological data; And the massage control module is used for determining the fatigue level of the user according to the feedback characteristic data and determining massage control parameters according to the fatigue level so as to control the intelligent massager based on the massage control parameters.
  9. 9. An intelligent massager control device, characterized in that it comprises a processor, a memory on which an intelligent massager control method program is stored which is executable on the processor, wherein the intelligent massager control method program, when executed by the processor, implements the steps of the intelligent massager control method according to any one of claims 1 to 7.
  10. 10. A storage medium, characterized in that the storage medium is a computer-readable storage medium, on which a smart massager control method program is stored, wherein the smart massager control method program, when executed by a processor, implements the steps of the smart massager control method according to any one of claims 1 to 7.

Description

Intelligent massager control method, intelligent massager, equipment and storage medium Technical Field The application relates to the technical field of massage control, in particular to an intelligent massager control method, an intelligent massager, equipment and a storage medium. Background With the continuous development of massagers, users have also put higher demands on the manner in which the massagers are controlled on the massagers. The traditional massager control mode is to realize the control of the massage mode and the massage process by a fixed program or a manual switching mode, and has certain defects, namely the phenomenon that the massager control can be realized only by the fixed program or the manual switching mode can exist, namely the massager control mode can realize the massager control only by the fixed program or the manual switching mode, so that the intelligent of the massager control is not high. The foregoing is provided merely for the purpose of facilitating understanding of the technical solutions of the present application and is not intended to represent an admission that the foregoing is prior art. Disclosure of Invention The application mainly aims to provide an intelligent massager control method, an intelligent massager, equipment and a storage medium, and aims to solve the technical problem that the intelligent control of the massager is not high. In order to achieve the above object, the present application provides an intelligent massager control method, comprising: acquiring feedback physiological data of the intelligent massager, and determining feedback characteristic data according to the feedback physiological data; And determining the fatigue level of the user according to the feedback characteristic data, and determining a massage control parameter according to the fatigue level so as to control the intelligent massager based on the massage control parameter. In an embodiment, the step of determining feedback characteristic data from the feedback physiological data comprises: determining a target feedback signal in the feedback physiological data within a preset frequency band, wherein the target feedback signal comprises a plurality of continuous time period signals; And determining the amplitude, the signal main frequency, the signal energy distribution and the signal to noise ratio in the time period signal based on a preset rule, and taking the amplitude, the signal main frequency, the signal energy distribution and the signal to noise ratio as feedback characteristic data, wherein the preset rule comprises one of an averaging rule, a mode taking rule and a weighted averaging rule. In an embodiment, the fatigue level comprises a relaxed state, a mild fatigue, a moderate fatigue, and a severe fatigue, the step of determining the fatigue level of the user from the feedback characteristic data comprises: determining that the fatigue level of the user is the relaxed state under the condition that the feedback characteristic data meets a first characteristic condition; determining that the fatigue level of the user is the mild fatigue under the condition that the feedback characteristic data meets a second characteristic condition; under the condition that the feedback characteristic data meets a third characteristic condition, determining the fatigue level of the user as the moderate fatigue; And under the condition that the feedback characteristic data meets a fourth characteristic condition, determining the fatigue level of the user as the severe fatigue, wherein in the first characteristic condition, the second characteristic condition, the third characteristic condition and the fourth characteristic condition, the amplitude in the feedback characteristic data is sequentially increased, the main frequency of signals in the feedback characteristic data is sequentially decreased, the signal energy distribution in the feedback characteristic data is sequentially dispersed, and the signal to noise ratio in the feedback characteristic data is sequentially reduced. In an embodiment, after the step of determining feedback characteristic data from the feedback physiological data, the method comprises: And determining that the fatigue level of the user is one of the mild fatigue or the relaxed state if none of the feedback feature data satisfies the first feature condition, the second feature condition, the third feature condition, and the fourth feature condition. In one embodiment, the step of determining the massage control parameter based on the fatigue level comprises: under the condition that the fatigue level is in a relaxed state, determining a massage control parameter as a first massage parameter, wherein the first massage parameter comprises a kneading manipulation control parameter; under the condition that the fatigue level is mild fatigue, determining a massage control parameter as a second massage parameter, wherein the second massage parameter compr