Intelligent cervical vertebra supporting pillow supporting force control method and system based on sensor

Abstract

The invention discloses an intelligent cervical vertebra supporting pillow supporting force control method and system based on a sensor, and belongs to the technical field of computers. According to the technical scheme provided by the embodiment of the invention, under the condition that the head of any object is in contact with the cervical vertebra supporting pillow, the environment data around the cervical vertebra supporting pillow, the contact data between the object and the cervical vertebra supporting pillow and the physiological data of the object are obtained by utilizing the multiple sensors. The first initial supporting force, the second initial supporting force and the target supporting force adjusting coefficient are determined according to the environment data, the contact data and the physiological data, and finally the supporting force of the cervical vertebra supporting pillow is adjusted according to the first initial supporting force, the second initial supporting force and the target supporting force adjusting coefficient. Intelligent supporting force adjustment is achieved, and the requirements of users are met.

Description

Technical Field

[0001] The present application relates to the field of computer technology, and in particular to a sensor-based intelligent cervical support pillow support force control method and system. Background Art

[0002] Having a suitable pillow is very important for people's sleep. Generally speaking, users choose a suitable pillow according to their needs.

[0003] In the related art, the support strength of a pillow is only related to the material of the pillow. Therefore, after the user selects a certain pillow, the support strength of the pillow is fixed.

[0004] However, the support strength required by the pillow in different environments or physiological conditions may be different, and a pillow with fixed support strength cannot meet the needs of users. Summary of the invention

[0005] The embodiment of the present application provides a sensor-based intelligent cervical support pillow support force control method and system, which can realize intelligent control of the support force of the cervical pillow. The technical solution is as follows:

[0006] On the one hand, a sensor-based intelligent cervical support pillow support force control method is provided, the method comprising:

[0007] When the head of any subject is in contact with the cervical vertebra support pillow, the environmental data around the cervical vertebra support pillow, the contact data between the subject and the cervical vertebra support pillow, and the physiological data of the subject are acquired through a plurality of sensors, wherein the environmental data includes environmental audio, environmental temperature, and environmental humidity, the contact data includes contact humidity, contact duration, contact temperature, contact pressure, contact position, and contact area, and the physiological data includes heart rate and respiratory rate;

[0008] Determining a first initial support strength of the cervical vertebra support pillow based on the environmental data, the physiological data, the contact humidity and the contact temperature;

[0009] Determine a second initial support strength and a target support strength adjustment coefficient of the cervical vertebra support pillow based on the physiological data, the contact duration, the contact pressure, the contact position, and the contact area, wherein the target support strength adjustment coefficient is used to adjust the support strength;

[0010] Based on the first initial support strength, the second initial support strength and the target support strength adjustment coefficient, the support strength of the cervical support pillow is adjusted.

[0011] In a possible implementation, determining the first initial support strength of the cervical support pillow based on the environmental data, the physiological data, the contact humidity, and the contact temperature includes:

[0012] Determining a first reference support strength of the cervical vertebra support pillow based on the ambient temperature, the ambient humidity, the contact humidity and the contact temperature;

[0013] Determining a second reference support strength of the cervical vertebra support pillow based on the heart rate and the breathing frequency;

[0014] Determining a first reference support force adjustment weight based on the ambient audio, the ambient temperature, and the ambient humidity;

[0015] Determining a second reference support force adjustment weight based on the ambient audio, the heart rate, and the breathing frequency;

[0016] The first reference support force adjustment weight and the second reference support force adjustment weight are used to merge the first reference support force and the second reference support force to obtain the first initial support force.

[0017] In a possible implementation, determining the first reference support strength of the cervical support pillow based on the ambient temperature, the ambient humidity, the contact humidity, and the contact temperature includes:

[0018] Determining a rest environment type of the subject based on the ambient temperature and the ambient humidity;

[0019] determining a resting comfort level of the subject based on the contact humidity and the contact temperature;

[0020] Based on the rest environment type and the rest comfort level, a first reference support strength of the cervical vertebra support pillow is determined.

[0021] In a possible implementation, determining a second reference support strength of the cervical support pillow based on the heart rate and the respiratory rate includes:

[0022] determining a resting state of the subject based on the heart rate and the breathing rate;

[0023] The support strength corresponding to the rest state is determined as the second reference support strength.

[0024] In a possible implementation, determining the first reference support force adjustment weight based on the ambient audio, the ambient temperature, and the ambient humidity includes:

[0025] Determining the audio type of the ambient audio based on the frequency and loudness of the ambient audio;

[0026] Determining the first reference support force adjustment weight based on the audio type and the rest environment type indicated by the ambient temperature and ambient humidity;

[0027] The determining a second reference support force adjustment weight based on the ambient audio, the heart rate, and the breathing frequency includes:

[0028] Determining the audio type of the ambient audio based on the frequency and loudness of the ambient audio;

[0029] The second reference support force adjustment weight is determined based on the audio type and the resting comfort level indicated by the heart rate and the breathing rate.

[0030] In a possible implementation, determining the second initial support strength and the target support strength adjustment coefficient of the cervical support pillow based on the physiological data, the contact duration, the contact pressure, the contact position, and the contact area includes:

[0031] Determining a second initial support strength of the cervical vertebra support pillow based on the contact duration, the contact pressure and the physiological data;

[0032] The target support force adjustment coefficient is determined based on the contact position and the contact area.

[0033] In a possible implementation, determining the second initial support strength of the cervical support pillow based on the contact duration, the contact pressure, and the physiological data includes:

[0034] determining a rest phase of the subject based on the contact duration and the physiological data;

[0035] determining a head mass of the object based on the contact pressure;

[0036] Based on the rest stage and the head mass, a second initial support force of the cervical vertebra support pillow is determined.

[0037] In a possible implementation manner, determining the target support force adjustment coefficient based on the contact position and the contact area includes:

[0038] determining a resting posture of the object based on the contact position and the contact area;

[0039] Based on the resting posture, the target support force adjustment coefficient is determined.

[0040] In a possible implementation, adjusting the support strength of the cervical support pillow based on the first initial support strength, the second initial support strength and the target support strength adjustment coefficient includes:

[0041] Performing weighted fusion on the first initial support strength and the second initial support strength to obtain a third initial support strength;

[0042] Multiplying the third initial support strength by the target support strength adjustment coefficient to obtain a target support strength;

[0043] The cervical support pillow is controlled to adjust the support strength to the target support strength.

[0044] On the one hand, a sensor-based intelligent cervical support pillow support force control system is provided, the system comprising:

[0045] a data acquisition module, for acquiring, through a plurality of sensors, environmental data around the cervical vertebra support pillow, contact data between the subject and the cervical vertebra support pillow, and physiological data of the subject when the head of any subject is in contact with the cervical vertebra support pillow, wherein the environmental data includes environmental audio, environmental temperature, and environmental humidity, the contact data includes contact humidity, contact duration, contact temperature, contact pressure, contact position, and contact area, and the physiological data includes heart rate and respiratory rate;

[0046] A first initial support strength determination module, configured to determine a first initial support strength of the cervical vertebra support pillow based on the environmental data, the physiological data, the contact humidity and the contact temperature;

[0047] A second initial support strength determination module, for determining a second initial support strength of the cervical vertebra support pillow and a target support strength adjustment coefficient based on the contact duration, the contact pressure, the contact position and the contact area, wherein the target support strength adjustment coefficient is used to adjust the initial support strength;

[0048] An adjustment module is used to adjust the support strength of the cervical support pillow based on the first initial support strength, the second initial support strength and the target support strength adjustment coefficient.

[0049] In a possible implementation, the first initial support force determination module is used to determine the first reference support force of the cervical support pillow based on the ambient temperature, the ambient humidity, the contact humidity and the contact temperature; determine the second reference support force of the cervical support pillow based on the heart rate and the breathing rate; determine the first reference support force adjustment weight based on the ambient audio, the ambient temperature and the ambient humidity; determine the second reference support force adjustment weight based on the ambient audio, the heart rate and the breathing rate; use the first reference support force adjustment weight and the second reference support force adjustment weight to merge the first reference support force and the second reference support force to obtain the first initial support force.

[0050] In a possible implementation, the first initial support force determination module is used to determine the rest environment type of the object based on the ambient temperature and the ambient humidity; determine the rest comfort level of the object based on the contact humidity and the contact temperature; and determine the first reference support force of the cervical support pillow based on the rest environment type and the rest comfort level.

[0051] In a possible implementation, the first initial support force determination module is used to determine the resting state of the object based on the heart rate and the breathing frequency; and determine the support force corresponding to the resting state as the second reference support force.

[0052] In one possible implementation, the first initial support force determination module is used to determine the audio type of the ambient audio based on the frequency and loudness of the ambient audio; determine the first reference support force adjustment weight based on the audio type and the rest environment type indicated by the ambient temperature and ambient humidity; determine the audio type of the ambient audio based on the frequency and loudness of the ambient audio; and determine the second reference support force adjustment weight based on the audio type and the rest comfort level indicated by the heart rate and the breathing rate.

[0053] In a possible implementation, the second initial support force determination module is used to determine the second initial support force of the cervical support pillow based on the contact duration, the contact pressure and the physiological data; and determine the target support force adjustment coefficient based on the contact position and the contact area.

[0054] In a possible implementation, the second initial support force determination module is used to determine the rest stage of the object based on the contact duration and the physiological data; determine the head mass of the object based on the contact pressure; and determine the second initial support force of the cervical support pillow based on the rest stage and the head mass.

[0055] In a possible implementation, the second initial support force determination module is used to determine the resting posture of the object based on the contact position and the contact area; and determine the target support force adjustment coefficient based on the resting posture.

[0056] In a possible implementation, the adjustment module is used to perform weighted fusion of the first initial support force and the second initial support force to obtain a third initial support force; multiply the third initial support force by the target support force adjustment coefficient to obtain the target support force; and control the cervical support pillow to adjust the support force to the target support force.

[0057] On the one hand, a cervical support pillow is provided, which includes one or more processors and one or more memories, wherein at least one computer program is stored in the one or more memories, and the computer program is loaded and executed by the one or more processors to implement the sensor-based intelligent cervical support pillow support force control method.

[0058] On the one hand, a computer-readable storage medium is provided, in which at least one computer program is stored, and the computer program is loaded and executed by a processor to implement the support force control method of the sensor-based intelligent cervical support pillow.

[0059] On the one hand, a computer program product or a computer program is provided, which includes a program code, and the program code is stored in a computer-readable storage medium. The processor of the cervical support pillow reads the program code from the computer-readable storage medium, and the processor executes the program code, so that the cervical support pillow executes the above-mentioned sensor-based intelligent cervical support pillow support force control method.

[0060] Through the technical solution provided in the embodiment of the present application, when the head of any object is in contact with the cervical support pillow, multiple sensors are used to obtain environmental data around the cervical support pillow, contact data between the object and the cervical support pillow, and physiological data of the object. The first initial support strength, the second initial support strength, and the target support strength adjustment coefficient are determined using the environmental data, contact data, and physiological data. Finally, the first initial support strength, the second initial support strength, and the target support strength adjustment coefficient are used to adjust the support strength of the cervical support pillow, thereby realizing intelligent support strength adjustment to meet the needs of users. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0062] Figure 1 It is a schematic diagram of an implementation environment of a sensor-based intelligent cervical support pillow support force control method provided in an embodiment of the present application;

[0063] Figure 2 It is a flow chart of a method for controlling the support force of a sensor-based intelligent cervical support pillow provided in an embodiment of the present application;

[0064] Figure 3 is a flow chart of another sensor-based intelligent cervical support pillow support force control method provided in an embodiment of the present application;

[0065] Figure 4 It is a structural schematic diagram of a sensor-based intelligent cervical support pillow support force control system provided in an embodiment of the present application;

[0066] Figure 5 It is a structural schematic diagram of a cervical support pillow provided in an embodiment of the present application. DETAILED DESCRIPTION

[0067] In order to make the objectives, technical solutions and advantages of the present application clearer, the implementation methods of the present application will be further described in detail below with reference to the accompanying drawings.

[0068] In this application, the terms "first", "second", etc. are used to distinguish identical or similar items with basically the same effects and functions. It should be understood that there is no logical or temporal dependency between "first", "second", and "nth", nor is there any limitation on quantity and execution order.

[0069] In order to illustrate the technical solution provided by the embodiments of the present application, the terms involved in the embodiments of the present application are first introduced.

[0070] Sensor: A sensor is a detection device that can sense specific inputs (such as heat, light, pressure, motion, etc.) and respond to these inputs in a manner suitable for output or display. The working basis of sensors is to convert physical quantities into electrical quantities, which includes various principles such as resistance change, capacitance change, inductance change, piezoelectric effect, magnetoelectric effect, thermoelectric effect, etc. The main functions of sensors include perception and measurement, signal conversion and amplification, data acquisition and storage, triggering and control, and intelligence and adaptation.

[0071] Smart cervical support pillow: A smart cervical support pillow is a pillow that combines modern technology with ergonomic design, designed to provide personalized cervical support to improve sleep quality and relieve cervical discomfort. These pillows are usually equipped with intelligent sensing technology, which can automatically adjust the support strength of the pillow according to actual conditions, thereby changing the height and hardness of the pillow to ensure that the cervical spine is properly supported and relaxed during sleep.

[0072] After introducing some terms involved in the embodiments of the present application, the implementation environment of the embodiments of the present application is introduced below. Figure 1 The implementation environment may include a pillow controller 110 , a sensor set 120 , and an airbag controller 140 .

[0073] The pillow controller 110 is electrically connected to the sensor set 120, and can obtain data collected by the sensor set 120. The pillow controller 110 is electrically connected to the airbag controller 140, and the pillow controller 110 can communicate with the airbag controller 140. In the embodiment of the present application, the pillow controller 110 can send control instructions to the airbag controller 140 based on the data collected by the sensor set 120.

[0074] The sensor set 120 includes multiple different types of sensors, and the different types of sensors are used to collect different types of data.

[0075] The airbag controller 140 is electrically connected to the multiple airbag inflation pumps to control the start and stop of the multiple airbag inflation pumps. In the embodiment of the present application, the cervical support pillow includes multiple airbags, and one airbag is controlled by one airbag inflation pump. The amount of gas in the airbag can control the support strength of the cervical support pillow.

[0076] After introducing the implementation environment of the embodiment of the present application, the technical solution provided by the embodiment of the present application is described below. Figure 2 , taking the pillow controller as an example, the method includes the following steps.

[0077] 201. When the head of any object is in contact with the cervical support pillow, the pillow controller obtains environmental data around the cervical support pillow, contact data between the object and the cervical support pillow, and physiological data of the object through multiple sensors, the environmental data including ambient audio, ambient temperature, and ambient humidity, the contact data including contact humidity, contact duration, contact temperature, contact pressure, contact position, and contact area, and the physiological data including heart rate and respiratory rate.

[0078] The cervical support pillow includes a plurality of airbags, which are evenly distributed below the surface of the cervical support pillow. In the embodiment of the present application, each airbag can be independently controlled. The object refers to the user, and the head of the object is in contact with the cervical support pillow, which means that the user is resting on the cervical support pillow. The ambient audio is the audio around the cervical support pillow, the ambient temperature is the temperature around the cervical support pillow, and the ambient humidity is the humidity around the cervical support pillow.

[0079] 202. The pillow controller determines a first initial support strength of the cervical vertebra support pillow based on the environmental data, the physiological data, the contact humidity and the contact temperature.

[0080] Among them, the first initial support strength is a benchmark support strength of the cervical support pillow.

[0081] 203. The pillow controller determines a second initial support strength and a target support strength adjustment coefficient of the cervical support pillow based on the physiological data, the contact duration, the contact pressure, the contact position, and the contact area. The target support strength adjustment coefficient is used to adjust the support strength.

[0082] The second initial support strength is a reference support strength of the cervical support pillow, and the first initial support strength and the second initial support strength are support strengths determined from different aspects. The target support strength adjustment coefficient can adjust the support strength, thereby improving the accuracy of the support strength.

[0083] 204. The pillow controller adjusts the support strength of the cervical support pillow based on the first initial support strength, the second initial support strength and the target support strength adjustment coefficient.

[0084] Through the technical solution provided in the embodiment of the present application, when the head of any object is in contact with the cervical support pillow, multiple sensors are used to obtain environmental data around the cervical support pillow, contact data between the object and the cervical support pillow, and physiological data of the object. The first initial support strength, the second initial support strength, and the target support strength adjustment coefficient are determined using the environmental data, contact data, and physiological data. Finally, the first initial support strength, the second initial support strength, and the target support strength adjustment coefficient are used to adjust the support strength of the cervical support pillow, thereby realizing intelligent support strength adjustment to meet the needs of users.

[0085] The above steps 201-204 are a brief description of the technical solution provided in the embodiment of the present application. The technical solution provided in the embodiment of the present application will be more clearly described below with reference to some examples. Figure 3 , taking the pillow controller as an example, the method includes the following steps.

[0086] 301. When the head of any object is in contact with the cervical support pillow, the pillow controller obtains environmental data around the cervical support pillow, contact data between the object and the cervical support pillow, and physiological data of the object through multiple sensors. The environmental data includes ambient audio, ambient temperature, and ambient humidity; the contact data includes contact humidity, contact duration, contact temperature, contact pressure, contact position, and contact area; and the physiological data includes heart rate and respiratory rate.

[0087] The cervical support pillow includes a plurality of airbags, which are evenly distributed below the surface of the cervical support pillow. In the embodiment of the present application, each airbag can be independently controlled. The object refers to the user, and the head of the object is in contact with the cervical support pillow, which means that the user is resting on the cervical support pillow. The ambient audio is the audio around the cervical support pillow, the ambient temperature is the temperature around the cervical support pillow, and the ambient humidity is the humidity around the cervical support pillow.

[0088] In a possible implementation, the multiple sensors include an environmental sensor, a contact sensor, and a physiological sensor. When the head of any subject contacts the cervical support pillow, the pillow controller acquires environmental data around the cervical support pillow through the environmental sensor, acquires contact data between the subject and the cervical support pillow through the contact sensor, and acquires physiological data of the subject through the physiological sensor.

[0089] Wherein, the environmental sensors are installed on both sides of the cervical vertebra support pillow, the contact sensors are installed below the surface of the cervical vertebra support pillow, and the physiological sensors are installed on the surface of the cervical vertebra support pillow.

[0090] In this implementation, environmental data, contact data and physiological data can be acquired by using environmental sensors, contact sensors and physiological sensors, and the efficiency of data acquisition is relatively high.

[0091] For example, the environmental sensor includes an environmental audio sensor, an environmental temperature sensor, and an environmental humidity sensor. The contact sensor includes a contact humidity sensor, a contact pressure sensor, and a contact temperature sensor. The victory sensor includes a heart rate sensor and a breathing rate sensor. When the head of any subject is in contact with the cervical support pillow, the pillow controller obtains the environmental audio through the environmental audio sensor, obtains the environmental temperature through the environmental temperature sensor, and obtains the environmental humidity through the environmental humidity sensor. The pillow controller obtains the contact humidity through the humidity sensor, obtains the contact temperature through the contact temperature sensor, and obtains the contact pressure, contact duration, contact pressure, contact position, and contact area through the contact pressure sensor.

[0092] The contact duration is the duration of time that the contact pressure sensor detects the contact pressure, the contact position is the position of the pressure sensor that detects the contact pressure, and the contact area is determined by the number of pressure sensors that detect the contact pressure. The greater the number, the larger the contact area; the smaller the number, the smaller the contact area. In some embodiments, the physiological sensor can be either a contact sensor or a non-contact sensor, which is not limited in the embodiments of the present application.

[0093] 302. The pillow controller determines a first initial support strength of the cervical vertebra support pillow based on the environmental data, the physiological data, the contact humidity and the contact temperature.

[0094] Among them, the first initial support strength is a benchmark support strength of the cervical support pillow.

[0095] In a possible implementation, the pillow controller determines a first reference support strength of the cervical support pillow based on the ambient temperature, the ambient humidity, the contact humidity, and the contact temperature. The pillow controller determines a second reference support strength of the cervical support pillow based on the heart rate and the respiratory rate. The pillow controller determines a first reference support strength adjustment weight based on the ambient audio, the ambient temperature, and the ambient humidity. The pillow controller determines a second reference support strength adjustment weight based on the ambient audio, the heart rate, and the respiratory rate. The pillow controller uses the first reference support strength adjustment weight and the second reference support strength adjustment weight to fuse the first reference support strength and the second reference support strength to obtain the first initial support strength.

[0096] Among them, the first reference support strength is an intermediate quantity for determining the first initial support strength, and the first reference support strength is a support strength associated with temperature and humidity. The first reference support strength is determined because the comfortable support strength under different temperatures and humidities is usually different. The second reference support strength is an intermediate quantity for determining the first initial support strength, and the second reference support strength is a support strength associated with heart rate and respiratory rate. The second reference support strength is determined because the comfortable support strength under different heart rate and respiratory rate is usually different. The first reference support strength adjustment weight is also the environmental adjustment weight, which is used to indicate the importance of the first reference support strength related to the environment. The second reference support strength adjustment weight is also the physiological adjustment weight, which is used to indicate the importance of the second reference support strength related to physiology. The first initial support strength is obtained by integrating the first reference support strength and the second reference support strength, that is, the support strength associated with the environment and physiology.

[0097] In this implementation, the first reference support force is determined by using the ambient temperature and ambient humidity, and the second reference support force is determined by using the heart rate and respiratory rate. The first reference support force adjustment weight is determined by using the ambient audio, ambient temperature and ambient humidity, and the second reference support adjustment weight is determined by using the ambient audio, heart rate and respiratory rate, so that the first reference support force and the second reference support force are fused by using the first reference support force adjustment weight and the second reference support force adjustment weight to obtain the first initial support force, and the first initial support force has a high accuracy.

[0098] In order to explain the above implementation more clearly, the above implementation is explained in several parts below.

[0099] The first part, the pillow controller determines a first reference support force of the cervical vertebra support pillow based on the ambient temperature, the ambient humidity, the contact humidity and the contact temperature.

[0100] In a possible implementation, the pillow controller determines the rest environment type of the subject based on the ambient temperature and the ambient humidity. The pillow controller determines the rest comfort level of the subject based on the contact humidity and the contact temperature. The pillow controller determines the first reference support strength of the cervical vertebra support pillow based on the rest environment type and the rest comfort level.

[0101] Among them, the rest environment type belongs to multiple candidate rest environment types, and the multiple candidate rest environment types are set by technicians according to actual conditions, such as low temperature and low humidity, low temperature and high humidity, high temperature and low humidity, and high temperature and high humidity, etc., which are not limited in the embodiments of the present application. The rest comfort level is positively correlated with the rest comfort level. The higher the rest comfort level, the higher the rest comfort level; the lower the rest comfort level, the lower the rest comfort level. The specific rest comfort level is set by technicians according to actual conditions, which are not limited in the embodiments of the present application.

[0102] In this embodiment, the ambient temperature and ambient humidity are used to determine the rest environment type, and the contact humidity and contact temperature are used to determine the rest comfort level. The rest environment type and the rest comfort level are used to determine the first reference support force, and the first reference support force has high accuracy.

[0103] The above implementation is described below through two examples.

[0104] Example 1: The pillow controller uses the ambient temperature and the ambient humidity to query in the first relational table to obtain the rest environment type of the object. The pillow controller uses the contact humidity and the contact temperature to query in the second relational table to obtain the rest comfort level of the object. The pillow controller uses the rest environment type and the rest comfort level to query in the third relational table to obtain the first reference support strength of the cervical support pillow.

[0105] Among them, the first relationship table stores the correspondence between the ambient temperature and ambient humidity and the rest environment type. The second relationship table stores the correspondence between the contact humidity and contact temperature and the rest comfort level. The third relationship table stores the correspondence between the rest environment type and the rest comfort level and the first reference support strength. The correspondences in the first relationship table, the second relationship table, and the third relationship table are all set by technicians according to actual conditions, and the embodiments of the present application do not limit this.

[0106] Example 2: The pillow controller inputs the ambient temperature and the ambient humidity into the ambient classification model, and extracts features of the ambient temperature and the ambient humidity through the ambient classification model to obtain the ambient classification features. The pillow controller fully connects and normalizes the ambient classification features through the ambient classification model to obtain multiple first probabilities, and one first probability corresponds to one candidate rest environment type. The pillow controller determines the candidate rest environment type with the highest first probability among the multiple candidate rest environment types as the rest environment type of the object. The pillow controller inputs the contact humidity and the contact temperature into the grade division model, and extracts features of the contact humidity and the contact temperature through the grade division model to obtain the grade division features. The pillow controller fully connects and normalizes the grade division features through the grade division model to obtain multiple second probabilities, and one second probability corresponds to one candidate rest comfort level. The pillow controller determines the candidate rest comfort level with the highest second probability among the multiple candidate rest comfort levels as the rest comfort level of the object. The pillow controller inputs the rest environment type and the rest comfort level into a first reference support strength determination model, extracts features of the rest environment type and the rest comfort level through the first reference support strength determination model, and obtains a first reference support strength determination feature. The pillow controller fully connects and normalizes the first reference support strength determination feature through the first reference support strength determination model to obtain the first reference support strength of the cervical support pillow.

[0107] Among them, the environment classification model and the level division model are multi-classification models, and the first reference support strength determination model is a regression model. The structures of the environment classification model, the level division model and the first reference support strength determination model are selected by technicians according to needs, and the embodiments of this application do not limit this.

[0108] Another implementation of the first part is described below.

[0109] In a possible implementation, the pillow controller determines a first reference support force of the cervical support pillow based on a temperature difference between the ambient temperature and the contact temperature, and a humidity difference between the ambient humidity and the contact humidity.

[0110] For example, the pillow controller uses the temperature difference and the humidity difference to query in the fourth relationship table to obtain the first reference supporting force.

[0111] Among them, the fourth relationship table stores the correspondence between the temperature difference and the humidity difference and the first reference support force. The correspondence in the fourth relationship table is set by technical personnel according to actual conditions, and the embodiment of the present application does not limit this.

[0112] Part 2: The pillow controller determines a second reference support strength of the cervical support pillow based on the heart rate and the breathing frequency.

[0113] In a possible implementation, the pillow controller determines the resting state of the subject based on the heart rate and the breathing frequency, and determines the support strength corresponding to the resting state as the second reference support strength.

[0114] Among them, the rest state belongs to multiple candidate rest states, and the multiple candidate rest states are set by technical personnel according to actual conditions, such as setting them to nap, sleep, and rest, etc. The embodiment of the present application does not limit this.

[0115] In this implementation, the heart rate and the breathing frequency are used to determine the resting state of the subject, and the resting state is used to determine the second reference supporting force, and the second reference supporting force is determined more efficiently.

[0116] For example, the pillow controller determines a first reference resting state based on the heart rate. The pillow controller determines a second reference resting state based on the breathing rate. The pillow controller determines the resting state of the object based on the first reference resting state and the second reference resting state. The pillow controller determines the support strength corresponding to the resting state as the second reference support strength.

[0117] Among them, heart rate refers to the set of heart rates within a period of time, and respiratory rate refers to the set of respiratory rates within a period of time. Since both heart rate and respiratory rate can represent the rest state to a certain extent, heart rate and respiratory rate can be used to determine the first reference rest state and the second reference rest state respectively.

[0118] For example, the pillow controller inputs the heart rate into the first rest state classification model, extracts features of the heart rate through the first rest state classification model, and obtains the heart rate features of the object. The pillow controller fully connects and normalizes the heart rate features through the first rest state classification model to obtain multiple third probabilities, and one third probability corresponds to one candidate rest state. The pillow controller determines the candidate rest state with the highest third probability among the multiple candidate rest states as the first reference rest state of the object. The pillow controller inputs the breathing frequency into the second rest state classification model, extracts features of the breathing frequency through the second rest state classification model, and obtains the breathing frequency features of the object. The pillow controller fully connects and normalizes the breathing frequency features through the second rest state classification model to obtain multiple fourth probabilities, and one fourth probability corresponds to one candidate rest state. The pillow controller determines the candidate rest state with the highest fourth probability among the multiple candidate rest states as the second reference rest state of the object. The pillow controller performs state fusion on the first reference rest state and the second reference rest state to obtain the rest state of the object. The pillow controller determines the support strength corresponding to the rest state as the second reference support strength.

[0119] Among them, state fusion means that when the two states are the same, any state is directly used as the fusion result. When the two states are different, the intermediate state of the two states is used as the fusion result. The corresponding relationship between the rest state and the support strength is set by the technician according to the actual situation, and the embodiment of the present application does not limit this.

[0120] Part three: The pillow controller determines a first reference support force adjustment weight based on the ambient audio, the ambient temperature and the ambient humidity.

[0121] In a possible implementation, the pillow controller determines the audio type of the ambient audio based on the frequency and loudness of the ambient audio, and determines the first reference support force adjustment weight based on the audio type and the rest environment type indicated by the ambient temperature and ambient humidity.

[0122] The audio types include quiet, normal, and noisy, etc., which are not limited in the present embodiment. The rest environment type indicated by the ambient temperature and ambient humidity is determined by the method provided in the first part above, which will not be repeated here.

[0123] For example, the pillow controller inputs the frequency and loudness of the ambient audio into an audio classification model, and determines the audio type of the ambient audio through the audio classification model. The pillow controller uses the audio type and the rest environment type to query in the fifth relationship table to obtain the first reference support force adjustment weight.

[0124] Among them, the fifth relationship table stores the correspondence between the audio type and the rest environment type and the first reference support force adjustment weight. The correspondence in the fifth relationship table is set by technical personnel according to actual conditions, and the embodiment of the present application does not limit this.

[0125] Part 4: The pillow controller determines a second reference support force adjustment weight based on the ambient audio, the heart rate and the breathing frequency. The audio classification model is a multi-classification model.

[0126] In a possible implementation, the pillow controller determines the audio type of the ambient audio based on the frequency and loudness of the ambient audio, and determines the second reference support force adjustment weight based on the audio type and the rest comfort level indicated by the heart rate and the breathing rate.

[0127] The method for determining the audio type belongs to the same inventive concept as described in the third part above, and the implementation process is not repeated. The method for determining the second reference support force adjustment weight based on the audio type and the rest comfort level is described below.

[0128] For example, the pillow controller uses the audio type and the rest comfort level to query in the sixth relationship table to obtain the second reference support force adjustment weight.

[0129] Among them, the sixth relationship table stores the correspondence between the audio type and the rest comfort level and the second reference support force adjustment weight. The correspondence in the sixth relationship table is set by technical personnel according to actual conditions, and the embodiment of the present application does not limit this.

[0130] Part 5: The pillow controller adopts the first reference support force adjustment weight and the second reference support force adjustment weight, merges the first reference support force and the second reference support force, and obtains the first initial support force.

[0131] In a possible implementation, the pillow controller multiplies the first reference support force adjustment weight by the first reference support force to obtain a first adjustment force. The pillow controller multiplies the second reference support force adjustment weight by the second reference support force to obtain a second adjustment force. The pillow controller adds the first adjustment force and the second adjustment force to obtain the first initial support force.

[0132] 303. The pillow controller determines a second initial support strength of the cervical vertebra support pillow based on the contact duration, the contact pressure and the physiological data.

[0133] Among them, the second initial support strength is a benchmark support strength of the cervical support pillow, and the first initial support strength and the second initial support strength are support strengths determined from different aspects.

[0134] In a possible implementation, the pillow controller determines the rest stage of the subject based on the contact duration and the physiological data. The pillow controller determines the head mass of the subject based on the contact pressure. The pillow controller determines the second initial support strength of the cervical vertebra support pillow based on the rest stage and the head mass.

[0135] Among them, the rest stage includes not falling asleep, just falling asleep, light sleep and deep sleep, etc., which is not limited in the embodiments of the present application.

[0136] In this embodiment, the resting stage of the subject is determined using the contact duration and physiological data, the head mass is determined using the contact pressure, and the second initial support force is determined using the resting stage and the head mass, and the second initial support force has a high accuracy.

[0137] For example, the pillow controller determines the first reference rest stage of the object based on the contact duration and the heart rate in the physiological data. The pillow controller determines the second reference rest stage of the object based on the contact duration and the breathing rate in the physiological data. The pillow controller fuses the first reference rest stage and the second reference rest stage to obtain the rest stage of the object. The pillow controller determines the head mass of the object based on the contact pressure. The pillow controller inputs the rest stage and the head mass into the second initial support force determination model, and extracts features of the rest stage and the head mass through the second initial support force determination model to obtain the second initial support force determination feature. The pillow controller fully connects and normalizes the second initial support force determination feature through the second initial support force determination model to obtain the second initial support force of the cervical support pillow.

[0138] Among them, state fusion means that when the two states are the same, any state is directly used as the fusion result. When the two states are different, the intermediate state of the two states is used as the fusion result. The second initial support strength determination model is a regression model, and the embodiment of the present application does not limit the structure and type of the second initial support strength determination model.

[0139] 304. The pillow controller determines the target support force adjustment coefficient based on the contact position and the contact area, and the target support force adjustment coefficient is used to adjust the support force.

[0140] Among them, the target support force adjustment coefficient can adjust the support force, thereby improving the accuracy of the support force.

[0141] In a possible implementation, the pillow controller determines the resting posture of the object based on the contact position and the contact area, and determines the target support force adjustment coefficient based on the resting posture.

[0142] Among them, the position and contact area between the head and the cervical pillow are different in different resting postures. For example, the contact area of ​​the head will be different when lying flat and lying on the side. The combined position is to improve the accuracy of determining the resting posture when the head is at the edge of the cervical pillow. The contact position is the position of the pressure sensor that detects the contact pressure on the cervical pillow, and the contact area is the product of the number of pressure sensors that detect the contact pressure and the preset area. The preset area is the contact area corresponding to a single pressure sensor. The preset area is set by the technician according to the actual situation, and the embodiment of the present application does not limit this.

[0143] In this implementation, the contact position and contact area are used to determine the resting posture, and the resting posture is used to determine the target support force adjustment coefficient, and the target support force adjustment coefficient is more closely matched to the resting posture of the target object.

[0144] For example, the pillow controller inputs the contact position and contact area into the rest posture determination model, and extracts features of the contact position and contact area through the rest posture determination model to obtain rest posture classification features. The pillow controller fully connects and normalizes the rest posture classification features through the rest posture determination model to obtain multiple fifth probabilities, and each fifth probability corresponds to a candidate rest posture. The pillow controller determines the candidate rest posture with the highest fifth probability among the multiple candidate rest postures as the rest posture of the object. The pillow controller determines the support force adjustment coefficient corresponding to the rest posture as the target support force adjustment coefficient.

[0145] Among them, the corresponding relationship between the resting posture and the support force adjustment coefficient is set by the technical personnel according to the actual situation, and the embodiment of the present application does not limit this.

[0146] 305. The pillow controller determines a target support force based on the first initial support force, the second initial support force and the target support force adjustment coefficient.

[0147] In a possible implementation, the pillow controller performs weighted fusion of the first initial support strength and the second initial support strength to obtain a third initial support strength. The pillow controller multiplies the third initial support strength by the target support strength adjustment coefficient to obtain the target support strength.

[0148] For example, the pillow controller uses the first fusion weight and the second fusion weight to weightedly fuse the first initial support force and the second initial support force to obtain a third initial support force. The pillow controller multiplies the third initial support force by the target support force adjustment coefficient to obtain the target support force.

[0149] Among them, the first fusion weight is the confidence of the first initial support strength, and the second fusion weight is the confidence of the second initial support strength. The confidence is set by technical personnel according to actual conditions, and the embodiment of the present application does not limit this.

[0150] 306. The pillow controller controls the cervical vertebra support pillow to adjust the support strength to the target support strength.

[0151] Among them, the pillow controller adjusts the support strength through the airbag controller.

[0152] In a possible implementation, the pillow controller controls the cervical support pillow to adjust the support force to the target support force at a target adjustment speed.

[0153] In order to explain the above embodiment more clearly, the method for determining the target adjustment speed in the above embodiment is explained below.

[0154] In some embodiments, the pillow controller determines the target adjustment speed based on the difference between the current support strength of the cervical support pillow and the target support strength.

[0155] Among them, the target adjustment speed is negatively correlated with the difference between the target support forces, that is, the larger the difference between the target support forces, the smaller the target adjustment speed; the smaller the difference between the target support forces, the larger the target adjustment speed.

[0156] In some embodiments, the pillow controller determines the target adjustment speed based on a distance between the contact location and a center of the cervical support pillow.

[0157] The distance is positively correlated with the target adjustment speed, that is, the larger the distance is, the larger the target adjustment speed is; and the smaller the distance is, the smaller the target adjustment speed is.

[0158] It should be noted that the above steps 301-306 are described by taking the pillow controller as the execution body as an example. In other possible implementations, the pillow controller can also send the acquired data to a high-computing-power intermediate device, and the intermediate device can execute the corresponding steps in the above steps 301-306. The intermediate device is communicatively connected with the pillow controller.

[0159] All the above optional technical solutions can be arbitrarily combined to form optional embodiments of the present application, which will not be described one by one here.

[0160] Through the technical solution provided in the embodiment of the present application, when the head of any object is in contact with the cervical support pillow, multiple sensors are used to obtain environmental data around the cervical support pillow, contact data between the object and the cervical support pillow, and physiological data of the object. The first initial support strength, the second initial support strength, and the target support strength adjustment coefficient are determined using the environmental data, contact data, and physiological data. Finally, the first initial support strength, the second initial support strength, and the target support strength adjustment coefficient are used to adjust the support strength of the cervical support pillow, thereby realizing intelligent support strength adjustment to meet the needs of users.

[0161] Figure 4 This is a schematic diagram of a sensor-based intelligent cervical support pillow support force control system provided in an embodiment of the present application, see Figure 4 The device includes: a data acquisition module 401, a first initial support force determination module 402, a second initial support force determination module 403 and an adjustment module 404.

[0162] The data acquisition module 401 is used to acquire environmental data around the cervical support pillow, contact data between the object and the cervical support pillow, and physiological data of the object through multiple sensors when the head of any object is in contact with the cervical support pillow, the environmental data including environmental audio, ambient temperature, and ambient humidity, the contact data including contact humidity, contact duration, contact temperature, contact pressure, contact position, and contact area, and the physiological data including heart rate and respiratory rate.

[0163] The first initial support strength determination module 402 is used to determine the first initial support strength of the cervical support pillow based on the environmental data, the physiological data, the contact humidity and the contact temperature.

[0164] The second initial support strength determination module 403 is used to determine the second initial support strength of the cervical support pillow and the target support strength adjustment coefficient based on the contact duration, the contact pressure, the contact position and the contact area. The target support strength adjustment coefficient is used to adjust the initial support strength.

[0165] The adjustment module 404 is used to adjust the support strength of the cervical support pillow based on the first initial support strength, the second initial support strength and the target support strength adjustment coefficient.

[0166] In a possible implementation, the first initial support strength determination module 402 is used to determine the first reference support strength of the cervical support pillow based on the ambient temperature, the ambient humidity, the contact humidity and the contact temperature. Based on the heart rate and the respiratory rate, the second reference support strength of the cervical support pillow is determined. Based on the ambient audio, the ambient temperature and the ambient humidity, the first reference support strength adjustment weight is determined. Based on the ambient audio, the heart rate and the respiratory rate, the second reference support strength adjustment weight is determined. The first reference support strength and the second reference support strength are merged using the first reference support strength adjustment weight and the second reference support strength adjustment weight to obtain the first initial support strength.

[0167] In a possible implementation, the first initial support strength determination module 402 is used to determine the rest environment type of the subject based on the ambient temperature and the ambient humidity, determine the rest comfort level of the subject based on the contact humidity and the contact temperature, and determine the first reference support strength of the cervical support pillow based on the rest environment type and the rest comfort level.

[0168] In a possible implementation, the first initial support strength determination module 402 is configured to determine the resting state of the subject based on the heart rate and the respiratory rate, and determine the support strength corresponding to the resting state as the second reference support strength.

[0169] In a possible implementation, the first initial support force determination module 402 is used to determine the audio type of the ambient audio based on the frequency and loudness of the ambient audio. The first reference support force adjustment weight is determined based on the audio type and the rest environment type indicated by the ambient temperature and ambient humidity. The audio type of the ambient audio is determined based on the frequency and loudness of the ambient audio. The second reference support force adjustment weight is determined based on the audio type and the rest comfort level indicated by the heart rate and the respiratory rate.

[0170] In a possible implementation, the second initial support strength determination module 403 is used to determine the second initial support strength of the cervical support pillow based on the contact duration, the contact pressure and the physiological data, and to determine the target support strength adjustment coefficient based on the contact position and the contact area.

[0171] In a possible implementation, the second initial support strength determination module 403 is used to determine the rest stage of the subject based on the contact duration and the physiological data, determine the head mass of the subject based on the contact pressure, and determine the second initial support strength of the cervical support pillow based on the rest stage and the head mass.

[0172] In a possible implementation, the second initial support force determination module 403 is configured to determine the resting posture of the object based on the contact position and the contact area, and determine the target support force adjustment coefficient based on the resting posture.

[0173] In a possible implementation, the adjustment module 404 is used to perform weighted fusion of the first initial support strength and the second initial support strength to obtain a third initial support strength, multiply the third initial support strength by the target support strength adjustment coefficient to obtain a target support strength, and control the cervical support pillow to adjust the support strength to the target support strength.

[0174] It should be noted that: the sensor-based intelligent cervical support pillow support force control system provided in the above embodiment only uses the division of the above functional modules as an example to illustrate when adjusting the support force. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the cervical support pillow is divided into different functional modules to complete all or part of the functions described above. In addition, the sensor-based intelligent cervical support pillow support force control system provided in the above embodiment and the sensor-based intelligent cervical support pillow support force control method embodiment belong to the same concept. The specific implementation process is detailed in the method embodiment and will not be repeated here.

[0175] Through the technical solution provided in the embodiment of the present application, when the head of any object is in contact with the cervical support pillow, multiple sensors are used to obtain environmental data around the cervical support pillow, contact data between the object and the cervical support pillow, and physiological data of the object. The first initial support strength, the second initial support strength, and the target support strength adjustment coefficient are determined using the environmental data, contact data, and physiological data. Finally, the first initial support strength, the second initial support strength, and the target support strength adjustment coefficient are used to adjust the support strength of the cervical support pillow, thereby realizing intelligent support strength adjustment to meet the needs of users.

[0176] Figure 5 Schematic diagram of a cervical support pillow provided in an embodiment of the present application. Generally, the cervical support pillow 500 includes: one or more processors 501 and one or more memories 502 .

[0177] The processor 501 may include one or more processing cores, such as a 4-core processor, an 8-core processor, etc. The processor 501 may be implemented in at least one hardware form of DSP (Digital Signal Processing), FPGA (Field-Programmable Gate Array), and PLA (Programmable Logic Array). The processor 501 may also include a main processor and a coprocessor. The main processor is a processor for processing data in the awake state, also known as a CPU (Central Processing Unit); the coprocessor is a low-power processor for processing data in the standby state. In some embodiments, the processor 501 may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content to be displayed on the display screen. In some embodiments, the processor 501 may also include an AI (Artificial Intelligence) processor, which is used to process computing operations related to machine learning.

[0178] The memory 502 may include one or more computer-readable storage media, which may be non-transitory. The memory 502 may also include a high-speed random access memory, and a non-volatile memory, such as one or more disk storage devices, flash memory storage devices. In some embodiments, the non-transitory computer-readable storage medium in the memory 502 is used to store at least one computer program, which is executed by the processor 501 to implement the sensor-based intelligent cervical support pillow support force control method provided in the method embodiment of the present application.

[0179] Those skilled in the art will understand that Figure 5 The structure shown in the figure does not constitute a limitation on the cervical support pillow 500, and the cervical support pillow 500 may include more or less components than those shown in the figure, or combine certain components, or adopt a different arrangement of components.

[0180] In an exemplary embodiment, a computer-readable storage medium is also provided, such as a memory including a computer program, and the computer program can be executed by a processor to complete the sensor-based intelligent cervical support pillow support force control method in the above embodiment. For example, the computer-readable storage medium can be a read-only memory (ROM), a random access memory (RAM), a compact disc read-only memory (CD-ROM), a magnetic tape, a floppy disk, an optical data storage device, etc.

[0181] In an exemplary embodiment, a computer program product or a computer program is also provided, which includes a program code, and the program code is stored in a computer-readable storage medium. The processor of the cervical support pillow reads the program code from the computer-readable storage medium, and the processor executes the program code, so that the cervical support pillow executes the above-mentioned sensor-based intelligent cervical support pillow support force control method.

[0182] In some embodiments, the computer program involved in the embodiments of the present application may be deployed and executed on a cervical support pillow, or on multiple cervical support pillows located at one location, or on multiple cervical support pillows distributed at multiple locations and interconnected by a communication network. Multiple cervical support pillows distributed at multiple locations and interconnected by a communication network may constitute a blockchain system.

[0183] A person skilled in the art will understand that all or part of the steps to implement the above embodiments may be accomplished by hardware or by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a disk or an optical disk, etc.

[0184] The above are only optional embodiments of the present application and are not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.

Claims

1. A sensor-based intelligent cervical support pillow support force control method, characterized in that: The method comprises: When the head of any subject is in contact with the cervical vertebra support pillow, the environmental data around the cervical vertebra support pillow, the contact data between the subject and the cervical vertebra support pillow, and the physiological data of the subject are acquired through a plurality of sensors, wherein the environmental data includes environmental audio, environmental temperature, and environmental humidity, the contact data includes contact humidity, contact duration, contact temperature, contact pressure, contact position, and contact area, and the physiological data includes heart rate and respiratory rate; Determining a first initial support strength of the cervical vertebra support pillow based on the environmental data, the physiological data, the contact humidity and the contact temperature; Determine a second initial support strength and a target support strength adjustment coefficient of the cervical vertebra support pillow based on the physiological data, the contact duration, the contact pressure, the contact position, and the contact area, wherein the target support strength adjustment coefficient is used to adjust the support strength; Based on the first initial support strength, the second initial support strength and the target support strength adjustment coefficient, the support strength of the cervical support pillow is adjusted.

2. The method according to claim 1, characterized in that The determining of a first initial support strength of the cervical vertebra support pillow based on the environmental data, the physiological data, the contact humidity and the contact temperature comprises: Determining a first reference support strength of the cervical vertebra support pillow based on the ambient temperature, the ambient humidity, the contact humidity and the contact temperature; Determining a second reference support strength of the cervical vertebra support pillow based on the heart rate and the breathing frequency; Determining a first reference support force adjustment weight based on the ambient audio, the ambient temperature, and the ambient humidity; Determining a second reference support force adjustment weight based on the ambient audio, the heart rate, and the breathing frequency; The first reference support force adjustment weight and the second reference support force adjustment weight are used to merge the first reference support force and the second reference support force to obtain the first initial support force.

3. The method according to claim 2, characterized in that The determining of a first reference support strength of the cervical vertebra support pillow based on the ambient temperature, the ambient humidity, the contact humidity and the contact temperature comprises: Determining a rest environment type of the subject based on the ambient temperature and the ambient humidity; determining a resting comfort level of the subject based on the contact humidity and the contact temperature; Based on the rest environment type and the rest comfort level, a first reference support strength of the cervical vertebra support pillow is determined.

4. The method according to claim 2, characterized in that: The step of determining a second reference support strength of the cervical vertebra support pillow based on the heart rate and the respiratory frequency includes: determining a resting state of the subject based on the heart rate and the breathing rate; The support strength corresponding to the rest state is determined as the second reference support strength.

5. The method according to claim 2, characterized in that: The determining of the first reference support force adjustment weight based on the ambient audio, the ambient temperature and the ambient humidity includes: Determining the audio type of the ambient audio based on the frequency and loudness of the ambient audio; Determining the first reference support force adjustment weight based on the audio type and the rest environment type indicated by the ambient temperature and ambient humidity; The determining a second reference support force adjustment weight based on the ambient audio, the heart rate, and the breathing frequency includes: Determining the audio type of the ambient audio based on the frequency and loudness of the ambient audio; The second reference support force adjustment weight is determined based on the audio type and the resting comfort level indicated by the heart rate and the breathing rate.

6. The method according to claim 1, characterized in that The determining, based on the physiological data, the contact duration, the contact pressure, the contact position, and the contact area, of the second initial support strength and the target support strength adjustment coefficient of the cervical support pillow comprises: Determining a second initial support strength of the cervical vertebra support pillow based on the contact duration, the contact pressure and the physiological data; The target support force adjustment coefficient is determined based on the contact position and the contact area.

7. The method according to claim 6, characterized in that The determining, based on the contact duration, the contact pressure and the physiological data, a second initial support strength of the cervical vertebra support pillow comprises: determining a rest phase of the subject based on the contact duration and the physiological data; determining a head mass of the object based on the contact pressure; Based on the rest stage and the head mass, a second initial support force of the cervical vertebra support pillow is determined.

8. The method according to claim 6, characterized in that The determining the target support force adjustment coefficient based on the contact position and the contact area includes: determining a resting posture of the object based on the contact position and the contact area; Based on the resting posture, the target support force adjustment coefficient is determined.

9. The method according to claim 1, characterized in that: The adjusting the support strength of the cervical support pillow based on the first initial support strength, the second initial support strength and the target support strength adjustment coefficient includes: Performing weighted fusion on the first initial support strength and the second initial support strength to obtain a third initial support strength; Multiplying the third initial support strength by the target support strength adjustment coefficient to obtain a target support strength; The cervical vertebra support pillow is controlled to adjust the support strength to the target support strength.

10. A sensor-based intelligent cervical support pillow support force control system, characterized in that: The system comprises: a data acquisition module, for acquiring, through a plurality of sensors, environmental data around the cervical vertebra support pillow, contact data between the subject and the cervical vertebra support pillow, and physiological data of the subject when the head of any subject is in contact with the cervical vertebra support pillow, wherein the environmental data includes environmental audio, environmental temperature, and environmental humidity, the contact data includes contact humidity, contact duration, contact temperature, contact pressure, contact position, and contact area, and the physiological data includes heart rate and respiratory rate; A first initial support strength determination module, configured to determine a first initial support strength of the cervical vertebra support pillow based on the environmental data, the physiological data, the contact humidity and the contact temperature; A second initial support strength determination module, for determining a second initial support strength of the cervical vertebra support pillow and a target support strength adjustment coefficient based on the contact duration, the contact pressure, the contact position and the contact area, wherein the target support strength adjustment coefficient is used to adjust the initial support strength; An adjustment module is used to adjust the support strength of the cervical support pillow based on the first initial support strength, the second initial support strength and the target support strength adjustment coefficient.

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