A control method, device, electronic device and storage medium for an intelligent massage bed

Abstract

The present invention relates to the field of massage, and in particular to a control method, device, electronic device and storage medium for an intelligent massage bed, comprising: obtaining a physiological sign state set and an emotional sign state set of a user; obtaining a physiological sign index according to the physiological sign state set; and obtaining an emotional sign index according to the emotional sign state set; searching for a physiological state feature vector in a preset physiological state feature vector level according to the physiological sign index; and searching for an emotional state feature vector in a preset emotional state feature vector level according to the emotional sign index; determining a personalized massage program according to the physiological state feature vector and the emotional state feature vector; the present invention constructs a personalized massage strategy based on the physiological state and the emotional state through multiple types of physiological state monitoring and multiple types of emotional state monitoring, which can focus on personalized massage needs based on individual differences of users.

Description

Technical Field

[0001] The present application relates to the field of massage beds, and in particular to a control method, device, electronic device and storage medium for an intelligent massage bed. Background Art

[0002] In recent years, with people's pursuit of a healthy lifestyle and the development of smart home technology, smart massage beds, as a new health-aiding device, have begun to enter the market. By integrating various sensors and advanced algorithms, smart massage beds can imitate the skills of professional masseurs to a certain extent and provide users with a convenient massage experience. However, most smart massage beds in the existing technology only focus on the detection of muscle tension, ignoring the impact of emotional state on overall health, resulting in a single massage program that cannot meet the personalized massage needs based on individual differences of users. Summary of the invention

[0003] This embodiment provides a control method, device, electronic device and storage medium for an intelligent massage bed. Through multiple types of physiological state monitoring and multiple types of emotional state monitoring, a personalized massage strategy based on physiological state and emotional state is constructed, which can focus on personalized massage needs based on individual differences of users.

[0004] In a first aspect, the present invention provides a control method for an intelligent massage bed, comprising:

[0005] Obtaining the user's physiological sign status set and emotional sign status set;

[0006] According to the physiological sign state set, a physiological sign index is obtained; and according to the emotional sign state set, an emotional sign index is obtained;

[0007] According to the physiological sign indicators, searching for physiological state feature vectors in a preset physiological state feature vector level; and according to the emotional sign indicators, searching for emotional state feature vectors in a preset emotional state feature vector level;

[0008] A personalized massage program is determined according to the physiological state feature vector and the emotional state feature vector.

[0009] In some embodiments, obtaining a user's physiological sign state set and an emotional sign state set includes:

[0010] Collect the user's height, weight, spinal curve, shoulder tilt, distribution of tense muscles and the tension in each area;

[0011] Determining a BIM score for the user based on the height and weight;

[0012] quantifying the spinal curve and determining a spinal curve score;

[0013] quantifying the degree of shoulder tilt and determining a shoulder tilt score;

[0014] Quantify the distribution area of ​​muscles and the tension of each area to determine the muscle tension score;

[0015] The BIM score, spinal curve score, shoulder inclination score and muscle tension score are used as physiological state samples of the physiological sign state set;

[0016] and obtaining the user's heart rate, systolic blood pressure, diastolic blood pressure, skin conductance value, and respiratory rate;

[0017] The heart rate, systolic blood pressure, diastolic blood pressure, skin conductance value and respiratory rate are used as emotional state samples of the emotional sign state set.

[0018] In some embodiments, the physiological sign index is obtained according to the physiological sign state set, including:

[0019] Obtain normalized values ​​of various physiological states including BIM score, spinal curve score, shoulder inclination score and muscle tension score;

[0020] Determine the physiological sign index according to the normalized values ​​of various physiological states including BIM score, spinal curve score, shoulder inclination score and muscle tension score , and its associated function is as follows:

[0021] ;

[0022] in, It is the first concentration of physiological signs The distribution weight of physiological state samples, is the base of natural logarithm; It is with The sensitivity factor related to each physiological state sample is used to control the normalized value Physiological indicators the extent of the impact; is an exponential factor used to adjust the nonlinearity of the final output.

[0023] In some embodiments, the emotional sign index is obtained according to the emotional sign state set, including:

[0024] Obtaining normalized values ​​of each emotional state including heart rate, systolic blood pressure, diastolic blood pressure, skin conductance value and respiratory rate;

[0025] Determine the emotional sign index based on normalized values ​​of each emotional state including heart rate, systolic blood pressure, diastolic blood pressure, skin conductance value and respiratory rate , and its associated function is as follows:

[0026] ;

[0027] in, It is the first concentration of emotional signs The distribution weight of the emotional state samples, It is Normalized value of emotional state samples; It is with The threshold factor related to the emotional state samples is used to adjust the inflection point position of the function; is the steepness factor associated with the th emotional state sample, which is used to control the slope of the function; is the offset, ensuring the output range of the function; Is an index factor used to adjust the emotional sign index The degree of nonlinearity.

[0028] In some embodiments, searching for a physiological state feature vector in a preset physiological state feature vector level according to a physiological sign indicator; and searching for an emotional state feature vector in a preset emotional state feature vector level according to an emotional sign indicator include:

[0029] Preset reference ranges for physiological sign indicators and emotional sign indicators, where the reference ranges cover normal value ranges for the physiological sign indicators and emotional sign indicators;

[0030] Comparing the physiological sign index with its reference range to obtain a physiological deviation value; and comparing the emotional sign index with its reference range to obtain an emotional deviation value;

[0031] According to the physiological deviation value, the physiological state feature vector is searched in a preset physiological state feature vector level; and according to the emotional deviation value, the emotional state feature vector is searched in a preset emotional state feature vector level.

[0032] In some of the embodiments, determining a personalized massage program based on the physiological state feature vector and the emotional state feature vector values ​​includes:

[0033] According to the physiological state feature vector and the emotional state feature vector, the physiological massage area and the emotional massage area are respectively identified;

[0034] Select the physiological massage unit corresponding to the physiological massage area and determine the physiological massage program;

[0035] Select the emotional massage unit corresponding to the emotional massage area and determine the emotional massage program.

[0036] In some embodiments, according to the physiological state feature vector and the emotional state feature vector, the physiological massage area and the emotional massage area are respectively identified, including:

[0037] Parsing the physiological state feature vector to obtain a physiological state score set and parsing the emotional state feature vector to obtain an emotional state score set;

[0038] From the physiological state score set, the maximum value of each state score is selected, and the physiological state area corresponding to the maximum value of each state score is identified as the physiological massage area;

[0039] From the emotional state score set, emotional states whose state scores exceed a normal threshold are selected, and emotional state regions whose state scores exceed the normal threshold are identified as emotional massage regions.

[0040] Compared with the prior art, the control method of an intelligent massage bed of the present invention constructs a personalized massage strategy based on physiological state and emotional state through multiple types of physiological state monitoring and multiple types of emotional state monitoring, which can focus on personalized massage needs based on individual differences of users.

[0041] In a second aspect, the present invention provides an intelligent massage bed control device, comprising:

[0042] A state acquisition module is used to acquire a user's physiological sign state set and emotional sign state set;

[0043] An index calculation module, used to obtain physiological sign indexes according to a physiological sign state set; and to obtain emotional sign indexes according to an emotional sign state set;

[0044] A vector search module, for searching for a physiological state feature vector in a preset physiological state feature vector level according to the physiological sign index; and for searching for an emotional state feature vector in a preset emotional state feature vector level according to the emotional sign index;

[0045] The program determination module is used to determine a personalized massage program according to the physiological state feature vector and the emotional state feature vector.

[0046] In a third aspect, the present invention provides an electronic device, comprising a memory and a processor, wherein the memory stores at least one computer executable instruction, and the processor is configured to run the computer executable instruction, and when the computer executable instruction is run by the processor, a control method for an intelligent massage bed described in a physiological aspect is implemented.

[0047] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the control method of an intelligent massage bed described in the physiological aspect is implemented.

[0048] Compared with the prior art, the beneficial effects of the control device, electronic device and storage medium of the intelligent massage bed of the present invention are the same as the beneficial effects of the control method of the intelligent massage bed mentioned above, so they are not repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 A schematic flow chart of a control method of an intelligent massage bed in an embodiment of the present invention;

[0050] Figure 2 A structural block diagram of a control device for an intelligent massage bed in an embodiment of the present invention;

[0051] Figure 3 A diagram of an electronic device in an embodiment of the present invention; DETAILED DESCRIPTION

[0052] In order to more clearly understand the purpose, technical solutions and advantages of the present application, the present application is described and illustrated below in conjunction with the accompanying drawings and embodiments.

[0053] Unless otherwise defined, the technical terms or scientific terms involved in this application shall have the general meaning understood by people with general skills in the technical field to which this application belongs. The words "one", "a", "the", "these" and the like in this application do not indicate a quantitative limitation, and they may be singular or plural. The terms "include", "comprise", "have" and any variants thereof involved in this application are intended to cover non-exclusive inclusions; for example, a process, method and system, product or device comprising a series of steps or modules (units) is not limited to the listed steps or modules (units), but may include unlisted steps or modules (units), or may include other steps or modules (units) inherent to these processes, methods, products or devices. The words "connect", "connected", "coupled" and the like involved in this application are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The "multiple" involved in this application refers to two or more. "And / or" describes the association relationship of associated objects, indicating that there may be three relationships, for example, "A and / or B" may mean: A exists alone, A and B exist at the same time, and B exists alone. Generally, the character " / " indicates that the objects associated with each other are in an "or" relationship. The terms "physiology", "emotion", "third" and the like in this application are only used to distinguish similar objects and do not represent a specific ordering of the objects.

[0054] refer to Figures 1 to 3 In an embodiment of the present invention, a control method for an intelligent massage bed is provided. Figure 1 1 is a flow chart of a control method of an intelligent massage bed of the present invention, and the flow chart includes:

[0055] Step S1: Obtain the user's physiological sign state set and emotional sign state set; specifically:

[0056] Collect the user's height, weight, spinal curve, shoulder tilt, distribution of tense muscles and the tension in each area;

[0057] Determining a BIM score for the user based on the height and weight;

[0058] quantifying the spinal curve and determining a spinal curve score;

[0059] quantifying the degree of shoulder tilt and determining a shoulder tilt score;

[0060] Quantify the distribution area of ​​muscles and the tension of each area to determine the muscle tension score;

[0061] The BIM score, spinal curve score, shoulder inclination score and muscle tension score are used as physiological state samples of the physiological sign state set;

[0062] and obtaining the user's heart rate, systolic blood pressure, diastolic blood pressure, skin conductance value, and respiratory rate;

[0063] The heart rate, systolic blood pressure, diastolic blood pressure, skin conductance value and respiratory rate are used as emotional state samples of the emotional sign state set.

[0064] Exemplarily, the user stands on the weight scale equipped with the smart massage bed, and the user's height is automatically recorded as 180 cm and weight is 75 kg;

[0065] Calculate the BMI score based on the user's height and weight; substitute the above height and weight into the BMI formula:

[0066] ;

[0067] This BMI score falls within the normal range, indicating that the user has a moderate weight and height ratio;

[0068] The smart massage bed's sensors detect that the user's scoliosis angle is 5°, which can be given a good score, such as 3 / 10, compared with the average scoliosis angle of a healthy spine (0°~5°), where 10 points indicates severe deviation and 0 points indicates perfect alignment.

[0069] Through the built-in camera and image analysis, the smart massage bed found that the user's right shoulder was 2 cm lower than the left shoulder. According to the preset tilt level standard, this tilt level can be scored as 4 / 10 points, indicating a slight shoulder imbalance.

[0070] The smart massage bed uses a pressure sensor matrix to detect that the user's back neck muscles, levator scapulae and back muscles have high pressure values. Assume that the pressure sensor gives a value range of 0 to 100, where 0 means complete relaxation and 100 means extreme tension. The pressure values ​​detected are 70 for the back neck muscles, 65 for the levator scapulae, and 60 for the back muscles. Based on this information, the muscle tension scores of these three areas can be given as 7 / 10, 6.5 / 10 and 6 / 10 respectively, and then the user's overall muscle tension score can be obtained using the equal weighted average method or the non-equal weighted average method; assuming the equal weighted average method is used, a tension score of 6.5 is obtained.

[0071] The heart rate sensor built into the smart massage bed detects tiny volume changes caused by blood flowing through blood vessels under the skin through photoplethysmography (PPG). Users only need to gently place their fingers on the sensor to read their heart rate data within a few seconds.

[0072] The smart massage bed is equipped with a blood pressure cuff. When the user puts his arm into the cuff, the smart massage bed will automatically inflate and measure the systolic and diastolic blood pressure.

[0073] The smart massage bed detects changes in skin conductivity through contact sensors. The user's palms or soles are placed on a surface with electrodes, and changes in skin resistance are measured through a weak current.

[0074] Smart massage beds use pressure sensors or motion sensors to detect the rise and fall of the chest or abdomen to calculate breathing rate. When the user lies flat on the massage bed, the sensor can capture the tiny movements of the chest or abdomen when breathing, thereby estimating the number of breaths.

[0075] The process also includes:

[0076] Step S2: obtaining physiological sign indicators according to the physiological sign state set; and obtaining emotional sign indicators according to the emotional sign state set; specifically:

[0077] The normalized values ​​of various physiological states including BIM score, spinal curve score, shoulder inclination score and muscle tension score are obtained. Normalization maps physiological state values ​​of different ranges to the same range (such as 0 to 1) for easy comparison and subsequent processing.

[0078] Determine the physiological sign index according to the normalized values ​​of various physiological states including BIM score, spinal curve score, shoulder inclination score and muscle tension score , and its associated function is as follows:

[0079] ;

[0080] in, It is the first concentration of physiological signs The weight assigned to each physiological state sample reflects the Physiological state samples are used to calculate physiological sign indicators The relative importance of is the base of natural logarithm; It is with The sensitivity factor related to each physiological state sample is used to control the normalized value Physiological indicators the extent of the impact; It is an exponential factor used to adjust the nonlinearity of the final output to ensure the physiological signs index The indicator changes more sensitively or smoothly within a specific numerical range.

[0081] The normalized values ​​of each physiological state are used to form a comprehensive physiological sign index using a correlation function. This function takes into account the weight, sensitivity factor and exponential factor of each physiological state score, and affects the final physiological sign index in a nonlinear way. .

[0082] Normalized values ​​of each emotional state including heart rate, systolic blood pressure, diastolic blood pressure, skin conductance value and respiratory rate were obtained; heart rate, systolic blood pressure, diastolic blood pressure, skin conductance value and respiratory rate were normalized to ensure that they were compared on the same scale.

[0083] Determine the emotional sign index based on normalized values ​​of each emotional state including heart rate, systolic blood pressure, diastolic blood pressure, skin conductance value and respiratory rate , and its associated function is as follows:

[0084] ;

[0085] in, It is the first concentration of emotional signs The distribution weight of the emotional state samples, It is Normalized value of emotional state samples; It is with The threshold factor related to the emotion state sample is used to adjust the inflection point of the function, that is, when the When the normalized value of an emotional state sample reaches a certain threshold, the indicator will change more significantly; It is with The steepness factor associated with each emotional state sample is used to control the slope of the function, determines the steepness of the slope of the correlation function, and affects the emotional sign index. rate of change with emotional state; is the offset, ensuring the output range of the function; Is an index factor used to adjust the emotional sign index The degree of nonlinearity makes the indicator more sensitive to changes within certain emotional states.

[0086] For example, parameters such as weights, sensitivity factors, threshold factors, etc. can be adjusted according to individual differences or specific health conditions to make the indicators closer to the individual's actual state; the exponential factors and the nonlinear properties of the function can capture the interaction between emotional state samples and the nonlinear characteristics of their impact on health status.

[0087] The process also includes:

[0088] Step S3: searching for a physiological state feature vector in a preset physiological state feature vector level according to the physiological sign index; and searching for an emotional state feature vector in a preset emotional state feature vector level according to the emotional sign index; specifically:

[0089] Preset the reference range of physiological sign indicators and emotional sign indicators, the reference range covers the normal value range of physiological sign indicators and emotional sign indicators; define the physiological sign indicators The normal range of , emotional signs indicators The normal range of ;

[0090] The physiological sign index is compared with its reference range to obtain the physiological deviation value; and the emotional sign index is compared with its reference range to obtain the emotional deviation value; specifically, for a given physiological sign index and emotional indicators , we can get the physiological deviation value and sentiment deviation ; Its expression is:

[0091] ,

[0092] ,

[0093] in, is the median value of physiological signs. It is the median value of the emotional sign index.

[0094] According to physiological deviation , at the preset physiological state feature vector level Find the physiological state feature vector in ; and according to the sentiment deviation value , in the preset emotional state feature vector Finding emotional state eigenvectors in the hierarchy In this embodiment, the vector levels are sorted from small to large according to the deviation values, so a matching function can be defined To select the level vector closest to the deviation value; it is expressed as:

[0095] ;

[0096] in, and are the smallest integers that satisfy the following conditions:

[0097] ;

[0098] in, and They are respectively and The relevant preset deviation value, and is the actual calculated deviation value.

[0099] The process also includes:

[0100] Step S4: Determine a personalized massage program according to the physiological state feature vector and the emotional state feature vector; specifically:

[0101] According to the physiological state feature vector and the emotional state feature vector, the physiological massage area and the emotional massage area are respectively identified;

[0102] Further, according to the physiological state feature vector and the emotional state feature vector, the physiological massage area and the emotional massage area are respectively identified, including:

[0103] Analyzing physiological state feature vectors , get the physiological state score set And parse the emotional state feature vector , get the emotional state score set ; Specifically, the parsing process is defined as:

[0104] make ,in, Indicates A score of physiological status;

[0105] make ,in, Indicates Rating of emotional state.

[0106] From the physiological state score set In the above example, select the maximum value of each state score. ,Right now ;

[0107] The maximum value of each state score The corresponding physiological state area is identified as the physiological massage area ; i.e. select the score equal to The physiological state area is used as the physiological massage area , which is expressed as: ;

[0108] From the emotional state rating set , select Status score exceeds normal threshold emotional state, that is, to find all Emotional state scores are obtained, and emotional state areas whose state scores exceed the normal threshold are identified as emotional massage areas. , which is expressed as:

[0109] .

[0110] Choose the corresponding physiological massage area Physiological massage unit , determine the physiological massage program ;

[0111] For each , select the corresponding physiological massage unit , the physiological massage unit Including rollers, air bags or vibrators, etc.

[0112] Choose the massage area that corresponds to your mood Emotional massage unit , determine the emotional massage program The emotional massage unit includes light brightness, music playing program or aromatherapy mist output.

[0113] Similarly, for each , select the corresponding emotional massage unit , the emotional massage unit Including adjusting the light brightness, music playback program or aromatherapy mist output.

[0114] Physiological massage program and emotional massage procedures Combined into a personalized massage program . It is expressed as:

[0115] .

[0116] In this embodiment, a control method of an intelligent massage bed is provided. The method constructs a personalized massage strategy based on physiological state and emotional state by monitoring multiple types of physiological state (such as muscle tension, spinal curve, shoulder inclination, BMI, etc.) and multiple types of emotional state (such as heart rate, blood pressure, skin conductance, respiratory rate, etc.). Specifically,

[0117] By comprehensively analyzing the user's physiological and emotional state, the smart massage bed can accurately identify the muscle areas and emotional states that require special attention, providing users with a more precise massage experience.

[0118] Based on the user's real-time health data, the smart massage bed can dynamically adjust the massage program to ensure that the massage position and type match the user's current status, thereby improving the massage effect and user satisfaction.

[0119] In addition to providing physical relaxation, the smart massage bed also regulates the user's emotions through music, light, aromatherapy, etc., promoting comprehensive recovery of the body and mind and achieving a better state of health.

[0120] In summary, the smart massage bed control method of this embodiment solves the limitations of traditional massage therapy and existing smart massage beds by integrating physiological and emotional state monitoring, realizes personalized massage services based on individual differences of users, significantly improves massage effects and user experience, and promotes the physical and mental health of users.

[0121] The embodiment of the present invention further provides an intelligent massage bed control device, which is used to implement the above method embodiment, and will not be repeated hereafter. The terms "module", "unit", "subunit", etc. used below may be a combination of software and / or hardware that implements a predetermined function. Although the device described in the following embodiments is preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0122] like Figure 2 As shown, Figure 2 : is a structural block diagram of an intelligent massage bed control device of the present invention, the device comprises:

[0123] A state acquisition module 101 is used to acquire a user's physiological sign state set and an emotional sign state set;

[0124] The index calculation module 102 is used to obtain the physiological sign index according to the physiological sign state set; and to obtain the emotional sign index according to the emotional sign state set;

[0125] The vector search module 103 is used to search for a physiological state feature vector in a preset physiological state feature vector level according to the physiological sign index; and to search for an emotional state feature vector in a preset emotional state feature vector level according to the emotional sign index;

[0126] The program determination module 104 is used to determine a personalized massage program according to the physiological state feature vector and the emotional state feature vector.

[0127] In the above device, the state acquisition module 101 is used to obtain the user's physiological sign state set and emotional sign state set; the indicator calculation module is used to obtain the physiological sign indicator and the emotional sign indicator; the vector search module is used to find the physiological state feature vector and the emotional state feature vector; the program determination module is used to determine the personalized massage program according to the physiological state feature vector and the emotional state feature vector; thereby solving the problem that the traditional massage bed ignores the impact of the emotional state on the overall health, resulting in the massage program being too single and unable to meet the personalized needs of the user in different emotional states.

[0128] like Figure 3 As shown, an embodiment of the present invention further provides an electronic device, which includes a memory 230 and a processor 210, wherein the memory 230 stores at least one computer executable instruction, and the processor 210 is configured to run the computer executable instruction, and when the computer executable instruction is run by the processor 210, the above-mentioned control method of the intelligent massage bed is implemented.

[0129] The electronic device may include a processor 210, a communication interface 220, a memory 230, and a communication bus 240, wherein the processor 210, the communication interface 220, and the memory 230 communicate with each other via the communication bus 240. The processor 210 may call the logic instructions in the memory 230 to execute a control method of a smart massage bed disclosed in this embodiment.

[0130] In addition, the logic instructions in the above-mentioned memory 230 can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0131] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, i.e., they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative effort.

[0132] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0133] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A control method for an intelligent massage bed, characterized in that: include: Obtaining the user's physiological sign status set and emotional sign status set; According to the physiological sign status set, physiological sign indicators are obtained, including: Obtain normalized values ​​of various physiological states including BIM score, spinal curve score, shoulder inclination score and muscle tension score; Determine the physiological sign index according to the normalized values ​​of various physiological states including BIM score, spinal curve score, shoulder inclination score and muscle tension score , and its associated function is as follows: ； in, It is the first concentration of physiological signs The distribution weight of physiological state samples, is the base of natural logarithm; It is with The sensitivity factor related to each physiological state sample is used to control the normalized value Physiological indicators the extent of the impact; is an exponential factor used to adjust the nonlinearity of the final output; According to the emotional sign state set, emotional sign indicators are obtained, including: Obtaining normalized values ​​of each emotional state including heart rate, systolic blood pressure, diastolic blood pressure, skin conductance value and respiratory rate; Determine the emotional sign index based on normalized values ​​of each emotional state including heart rate, systolic blood pressure, diastolic blood pressure, skin conductance value and respiratory rate , and its associated function is as follows: ； in, It is the first concentration of emotional signs The distribution weight of the emotional state samples, It is Normalized value of emotional state samples; It is with The threshold factor related to the emotional state samples is used to adjust the inflection point position of the function; is the steepness factor associated with the th emotional state sample, which is used to control the slope of the function; is the offset, ensuring the output range of the function; Is an index factor used to adjust the emotional sign index The degree of nonlinearity; According to the physiological sign indicator, searching for the physiological state feature vector in the preset physiological state feature vector level, and according to the emotional sign indicator, searching for the emotional state feature vector in the preset emotional state feature vector level, including: Preset reference ranges for physiological sign indicators and emotional sign indicators, where the reference ranges cover normal value ranges for the physiological sign indicators and emotional sign indicators; Comparing the physiological sign index with its reference range to obtain a physiological deviation value; and comparing the emotional sign index with its reference range to obtain an emotional deviation value; According to the physiological deviation value, searching for a physiological state feature vector in a preset physiological state feature vector level; and according to the emotional deviation value, searching for an emotional state feature vector in a preset emotional state feature vector level; According to the physiological state feature vector and the emotional state feature vector, a personalized massage program is determined, including: According to the physiological state feature vector and the emotional state feature vector, the physiological massage area and the emotional massage area are respectively identified; Select the physiological massage unit corresponding to the physiological massage area and determine the physiological massage program; Select the emotional massage unit corresponding to the emotional massage area and determine the emotional massage program.

2. The control method of the intelligent massage bed according to claim 1, characterized in that: Obtain the user's physiological sign status set and emotional sign status set, including: Collect the user's height, weight, spinal curve, shoulder tilt, distribution of tense muscles and the tension in each area; Determining a BIM score for the user based on the height and weight; quantifying the spinal curve and determining a spinal curve score; quantifying the degree of shoulder tilt and determining a shoulder tilt score; Quantify the distribution area of ​​muscles and the tension of each area to determine the muscle tension score; The BIM score, spinal curve score, shoulder inclination score and muscle tension score are used as physiological state samples of the physiological sign state set; and obtaining the user's heart rate, systolic blood pressure, diastolic blood pressure, skin conductance value, and respiratory rate; The heart rate, systolic blood pressure, diastolic blood pressure, skin conductance value and respiratory rate are used as emotional state samples of the emotional sign state set.

3. The control method of the intelligent massage bed according to claim 2, characterized in that: According to the physiological state feature vector and the emotional state feature vector, the physiological massage area and the emotional massage area are identified respectively, including: Parsing the physiological state feature vector to obtain a physiological state score set and parsing the emotional state feature vector to obtain an emotional state score set; From the physiological state score set, the maximum value of each state score is selected, and the physiological state area corresponding to the maximum value of each state score is identified as the physiological massage area; From the emotional state score set, emotional states whose state scores exceed a normal threshold are selected, and emotional state regions whose state scores exceed the normal threshold are identified as emotional massage regions.

4. An intelligent massage bed control device, characterized in that: include: A state acquisition module is used to acquire a user's physiological sign state set and emotional sign state set; The index calculation module is used to obtain the physiological sign index according to the physiological sign state set, including: obtaining the normalized values ​​of each physiological state including the BIM score, the spinal curve score, the shoulder inclination score and the muscle tension score; Determine the physiological sign index according to the normalized values ​​of various physiological states including BIM score, spinal curve score, shoulder inclination score and muscle tension score , and its associated function is as follows: ； in, It is the first concentration of physiological signs The distribution weight of physiological state samples, is the base of natural logarithm; It is with The sensitivity factor related to each physiological state sample is used to control the normalized value Physiological indicators the extent of the impact; is an exponential factor used to adjust the nonlinearity of the final output; And according to the emotional sign state set, emotional sign indicators are obtained, including: Obtaining normalized values ​​of each emotional state including heart rate, systolic blood pressure, diastolic blood pressure, skin conductance value and respiratory rate; Determine the emotional sign index based on normalized values ​​of each emotional state including heart rate, systolic blood pressure, diastolic blood pressure, skin conductance value and respiratory rate , and its associated function is as follows: ； in, It is the first concentration of emotional signs The distribution weight of the emotional state samples, It is Normalized value of emotional state samples; It is with The threshold factor related to the emotional state samples is used to adjust the inflection point position of the function; is the steepness factor associated with the th emotional state sample, which is used to control the slope of the function; is the offset, ensuring the output range of the function; Is an index factor used to adjust the emotional sign index The degree of nonlinearity; The vector search module is used to search for physiological state feature vectors in a preset physiological state feature vector level according to the physiological sign index, and to search for emotional state feature vectors in a preset emotional state feature vector level according to the emotional sign index, including: Preset reference ranges for physiological sign indicators and emotional sign indicators, where the reference ranges cover normal value ranges for the physiological sign indicators and emotional sign indicators; Comparing the physiological sign index with its reference range to obtain a physiological deviation value; and comparing the emotional sign index with its reference range to obtain an emotional deviation value; According to the physiological deviation value, searching for a physiological state feature vector in a preset physiological state feature vector level; and according to the emotional deviation value, searching for an emotional state feature vector in a preset emotional state feature vector level; The program determination module is used to determine the personalized massage program according to the physiological state feature vector and the emotional state feature vector, including: According to the physiological state feature vector and the emotional state feature vector, the physiological massage area and the emotional massage area are respectively identified; Select the physiological massage unit corresponding to the physiological massage area and determine the physiological massage program; Select the emotional massage unit corresponding to the emotional massage area and determine the emotional massage program.

5. An electronic device, characterized in that: The electronic device includes a memory and a processor, the memory stores at least one computer executable instruction, the processor is configured to execute the computer executable instruction, and the computer executable instruction is executed by the processor to implement the control method of the intelligent massage bed according to any one of claims 1 to 3.

6. A computer-readable storage medium, characterized in that: A computer program is stored on a computer-readable storage medium, and when the computer program is executed by a processor, the control method of the intelligent massage bed according to any one of claims 1 to 3 is implemented.

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