WO2021000554A1 - 一种智能按摩椅推荐按摩程序优化方法和系统 - Google Patents

一种智能按摩椅推荐按摩程序优化方法和系统 Download PDF

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WO2021000554A1
WO2021000554A1 PCT/CN2019/130295 CN2019130295W WO2021000554A1 WO 2021000554 A1 WO2021000554 A1 WO 2021000554A1 CN 2019130295 W CN2019130295 W CN 2019130295W WO 2021000554 A1 WO2021000554 A1 WO 2021000554A1
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massage
combination
recommended
evaluation data
adjustable parameters
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PCT/CN2019/130295
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English (en)
French (fr)
Chinese (zh)
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王铭琪
陈水金
冯时
张云龙
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奥佳华智能健康科技集团股份有限公司
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Priority to KR1020207023683A priority Critical patent/KR102470171B1/ko
Publication of WO2021000554A1 publication Critical patent/WO2021000554A1/zh

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    • A—HUMAN NECESSITIES
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    • A61H37/00—Accessories for massage
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    • A61H—PHYSICAL THERAPY APPARATUS, e.g. DEVICES FOR LOCATING OR STIMULATING REFLEX POINTS IN THE BODY; ARTIFICIAL RESPIRATION; MASSAGE; BATHING DEVICES FOR SPECIAL THERAPEUTIC OR HYGIENIC PURPOSES OR SPECIFIC PARTS OF THE BODY
    • A61H1/00—Apparatus for passive exercising; Vibrating apparatus; Chiropractic devices, e.g. body impacting devices, external devices for briefly extending or aligning unbroken bones
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    • A61H99/00—Subject matter not provided for in other groups of this subclass
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Definitions

  • the invention relates to the field of massage equipment, in particular to a method and system for optimizing recommended massage procedures for an intelligent massage chair.
  • the existing massage chair presets a variety of modes, and the user manually selects the massage mode for massage during the process of using the massage chair.
  • people have put forward a higher demand for intelligent interactive massage. This demand is not only reflected in the intelligent improvement of operation interaction, but also in the intelligent optimization of massage techniques.
  • the massage mode for the target user is determined according to the physiological data of the user, and the massage mode suitable for the target user is recommended to the target user.
  • the types of massage modes involved are limited, and the massage modes are preset and stored in the massage chair. They include fixed massage techniques and related parameters, which cannot be adjusted and changed according to personal needs. To achieve more personalized and accurate recommendation, the user experience is not good enough.
  • the main purpose of the present invention is to overcome the above-mentioned shortcomings in the prior art, and propose a method and system for optimizing the massage program recommended by a smart massage chair that can combine personal information to make personalized and accurate recommendations, and combine feedback opinions to optimize the massage program.
  • the recommended massage combination includes a combination of techniques and adjustable parameters, and the adjustable parameters are used to adjust the working process of the combination of techniques;
  • the massage equipment implements the recommended combination of massage
  • the personal information includes physiological parameter information, and the physiological parameter information includes one or more of blood pressure, blood oxygen, heart rate, fatigue index, or soreness index.
  • the personal information includes basic information, and the basic information includes one or more of height, weight, gender, age, or tolerance.
  • each massage instruction unit is equipped with several combination packages; according to personal information, one of the combination packages of each massage instruction unit is taken to form the combination of techniques.
  • the several combination packages of the massage instruction unit are divided according to one or more of massage time, massage intensity, massage times or massage speed.
  • the adjustable parameters include one or more of massage time, massage intensity, massage times, massage speed, or accuracy of massaged parts.
  • the adjustable parameters of the initial recommended massage combination be (l i , t i ), l i represents massage intensity, t i represents massage duration; historical evaluation data is ( ⁇ L i , ⁇ T i ), ⁇ L i represents massage intensity evaluation, ⁇ T i represents the evaluation of massage duration; the correction amount is ( ⁇ l i , ⁇ t i ), the preset weight is a i , i ⁇ [1,N], N is the number of historical evaluation data taken; then calculated based on historical evaluation data Correction amount:
  • ⁇ t i ⁇ T iN *a iN + ⁇ T i-N+1 *a i-N+1 ... + ⁇ T i-1 *a i-1 ;
  • Adjust the adjustable parameters according to the correction amount, and the final recommended combination of adjustable parameters is (l i + ⁇ l i , t i + ⁇ t i ).
  • the evaluation data includes one or more of massage time evaluation, massage intensity evaluation, massage frequency evaluation, massage speed evaluation, or massage part evaluation.
  • An intelligent massage recommendation system which is characterized in that it comprises
  • the massage chair stores a number of manipulation combinations and adjustable parameters; it is used to collect some personal information and send it to the mobile terminal, and to receive massage recommendations and perform massage actions;
  • the mobile terminal is used to collect some personal information and send it to the cloud platform, and send the massage recommendation combination from the cloud platform to the massage chair;
  • the cloud platform stores a number of technique combinations, adjustable parameters and historical evaluation data. According to personal information, the initial massage recommendation combination is obtained, the correction amount is calculated according to the historical evaluation data, and the adjustable parameters are adjusted according to the correction amount to obtain the final massage recommendation combination, and Send to the mobile terminal.
  • the cloud platform stores a number of technique combinations, adjustable parameters and historical evaluation data. According to personal information, the initial massage recommendation combination is obtained, the correction amount is calculated according to the historical evaluation data, and the adjustable parameters are adjusted according to the correction amount to obtain the final massage recommendation combination, and Send to the mobile terminal.
  • the present invention compared with the prior art, the present invention has the following beneficial effects:
  • the optimization method of the present invention obtains the initial massage recommendation combination according to personal information, calculates the correction amount through historical evaluation data, uses the correction amount to adjust the adjustable parameters to obtain the final massage recommendation combination, and realizes the massage program, user feedback, and analysis optimization The overall closed loop, so as to continuously improve the recommendation logic, and bring a better massage experience.
  • the optimization method of the present invention divides the combination of techniques into several massage instruction units, and each massage instruction unit is set with multiple combination packages. By collecting personal information and combining the corresponding calculation model, the combination package of each massage instruction unit is determined By composing massage recommendations to achieve precise recommendations for users, massages are more personalized, rather than uniform.
  • the method of the present invention decomposes the combination of manipulations into several massage instruction units, which can be decomposed according to the massage location or massage sequence.
  • Each massage instruction unit can be set with multiple combinations according to massage time, massage intensity, massage times or massage speed, etc. If you only store the basic massage package, you can combine a large number of massage programs to achieve a thousand people in the true sense.
  • a corresponding calculation model is designed for each massage instruction unit, and the calculation model can also be optimized and adjusted as required, which is convenient for maintenance and upgrade.
  • the method of the present invention uses the evaluation data collected after the massage as the historical evaluation data, and combines the correction amount and the preset weight value to automatically optimize the adjustable parameters in the recommendation logic, which saves time, effort and high efficiency.
  • the massage program is a massage program combination package code, that is, an instruction set, rather than a complete massage program, with small size and fast transmission speed.
  • the device, information collection device, storage device and recommendation device of the present invention can be integrated on the massage chair to implement the recommendation method of the present invention.
  • the system of the present invention detects the soreness value, blood oxygen, pulse rate and other parameters of the body part by integrating physiological parameter detection equipment on the massage chair; designs a questionnaire survey page on the mobile terminal APP to collect basic user information, including Height, weight, age, gender, massage tolerance, and submit them to the cloud platform. Based on the collected information and supplemented by user feedback, the cloud platform optimizes massage procedures and recommendation logic through big data analysis, different users, different physiology Parameters and different personal information will have different intelligent recommendation results, achieving personalized massage effects for thousands of people. Based on the collected user physical information, supplemented by user feedback.
  • the system of the present invention also integrates relevant detection equipment on the massage chair to detect body parts' soreness, blood oxygen, pulse rate and other parameters, and collects the user's height, weight, age, gender, massage tolerance, and submits To the cloud platform, the cloud platform optimizes the massage program and recommendation logic through big data analysis based on the collected information and user feedback. Different users, different physiological parameters, and different personal information will have different intelligent recommendations. As a result, a personalized massage effect for thousands of people is achieved.
  • FIG. 1 is a flow chart of the method in Embodiment 1 of the present invention.
  • FIG. 2 is a system composition diagram of Embodiment 1 of the present invention.
  • Figure 3 is a composition diagram of the combination of techniques in the first embodiment of the present invention.
  • the physiological parameter information includes one or more of blood pressure, blood oxygen, heart rate, or soreness index.
  • the physiological parameter information is the information detected by the related detection device.
  • the basic information includes one or more of height, weight, gender, age, or tolerance, and the height, weight, gender, age, or tolerance can be obtained through user input.
  • the recommended massage combination includes a combination of techniques and adjustable parameters.
  • the adjustable parameters are used to adjust the working process of the combination of techniques.
  • the adjustable parameters include massage time, massage intensity, and massage. One or more of times or massage speed. details as follows:
  • each massage instruction unit has several combination packages for selection.
  • the several massage instruction units are used to control multiple massage devices to work at the same time or work in an interval between each other. They can be divided according to massage parts or according to the order of massage, etc.
  • the division method is not unique, for example: according to the massage parts: head, neck Part, back, waist, etc.; according to the massage sequence, it is divided into: cushion, middle, end, etc., or according to the massage part and combined with the massage sequence, such as cushion, middle (head, neck, back, waist, etc.), end.
  • each massage instruction unit can be divided according to one or more of massage time, massage intensity, massage times or massage speed.
  • the massage time is divided into 3 combination packages from long to short, and 3 packages according to the number of massages from more to less, or according to the massage speed and number of massages, it is divided into 5 packages, etc.
  • the division method and number are not unique.
  • a preset calculation function may be used to calculate the input personal information to obtain the second group of evaluation scores, and the calculation function includes commonly used mathematical calculation models such as score calculation functions and collaborative filtering algorithms.
  • M M1 ⁇ M2 ⁇ M3... ⁇ Mn.
  • Each massage instruction unit M x , x ⁇ i ⁇ [1, N], including q x combination packages can have different massage techniques and effects. Refer to Figure 3 and Table 1, including 6 massage instruction units (head, neck, shoulders, back, waist, buttocks), and each massage instruction unit has 5 combination packages.
  • Program fragment Calculation function Calculation results head J1(r1, r2, r3...., r11) Score 2, corresponding to package P12 neck J2(r1, r2, r3...., r11) Score 3, corresponding to package P23
  • Collect input parameters r 1 , r 2 , r 3 ...., r p including soreness index (the soreness level is divided into 3 levels, light, moderate, and severe, replaced by 1, 2, and 3 respectively), blood oxygen, heart rate, height , Weight, gender, age, massage tolerance (divided into three levels: light, normal, and heavy, represented by 0, 1, 2 respectively), fatigue index (divided into 4 levels, replaced by 1, 2, 3, 4 respectively) )Wait.
  • ⁇ t i ⁇ T iN *a iN + ⁇ T i-N+1 *a i-N+1 ...+ ⁇ T i-1 *a i-1 adjust the adjustable parameters according to the correction amount, then the final recommended combination can be
  • the tuning parameter is (l i + ⁇ l i , t i + ⁇ t i )
  • the types of adjustable parameters are not limited to massage strength and massage duration, but can also include the number of massages, massage speed, and accuracy of massage parts.
  • massage parts they can be refined to the shoulders, neck, back, and waist.
  • the accuracy includes partial Left, right, top, bottom.
  • the calculation method of the correction amount is similar to the calculation method of massage intensity and massage duration.
  • the combination of manipulations and adjustable parameters included in the final recommended massage combination is a combination of massage command data, where each massage command unit of the manipulation combination can be used to control the corresponding massage device to perform massage actions, and the adjustable parameters can control the correlation of the massage device parameter.
  • the composition is as follows: the evaluation data is ( ⁇ L i , ⁇ T i ), where: ⁇ L i represents the massage strength evaluation (too light, light, just, heavy, too heavy), and the scores are (2, 1) , 0, -1, -2), ⁇ T i represents the massage duration evaluation (too short, short, just right, long, too long), and the scores are (2, 1, 0, -1, -2).
  • evaluation data are not limited to massage intensity evaluation and massage duration evaluation, but can also include massage frequency evaluation, massage speed evaluation, massage part evaluation, etc., which can correspond to adjustable parameters.
  • the present invention also provides an intelligent massage recommendation device, including:
  • the information collection unit is used to collect the user's personal information and collect evaluation data. It can use detection handles, smart bracelets, mobile phones, tablets, etc., electrodes or sensor chips are set in the detection handles and smart bracelets to detect physiological parameter information , Enter personal information and collect evaluation data through smart terminals such as bracelets, mobile phones, and tablets.
  • the storage unit stores several combination of techniques, adjustable parameters and historical evaluation data. It also stores a number of massage instruction units, and each massage instruction unit is provided with a number of combination packages; the correspondence relationship between the calculation model and the massage instruction unit and the correspondence relationship between parameters and the combination package are stored.
  • the recommendation unit obtains the initial massage recommendation combination according to personal information, calculates the correction amount according to the historical evaluation data, and adjusts the adjustable parameters according to the correction amount to obtain the final massage recommendation combination.
  • the intelligent massage recommendation device can be installed in a massage chair or on other massage equipment, recommend a combination of massage recommendations based on the user's personal information combined with evaluation data, and perform corresponding massage actions.
  • the present invention also proposes an intelligent massage recommendation system, including
  • the massage chair is equipped with an information collection unit, a storage unit, a communication unit, a control unit and several massage devices.
  • the storage unit stores a number of manipulation combinations, adjustable parameters, etc.
  • the manipulation combination includes a plurality of massage instruction units, and each massage instruction unit is provided with a number of combination packages.
  • the information collection unit is used to collect physiological parameter information and can be designed as a detection handle or a built-in detection module.
  • the communication unit is used to communicate with the mobile terminal, and can adopt Bluetooth or WIFI.
  • the several massage devices are used to perform massage actions, which can correspond to several massage instruction units, including head massage unit, neck massage unit, back massage unit, waist massage unit, hip massage unit, foot massage unit, etc.
  • the massage device may not correspond to the massage instruction unit.
  • the control unit is used to control the coordinated work of each unit.
  • the mobile terminal is used to collect the user’s basic information and evaluation data and send it to the cloud platform, and send the massage recommendation combination from the cloud platform to the massage chair.
  • It can be a smart terminal such as a mobile phone or a tablet, with an operation interface, a communication module, etc. Collect basic information and evaluation data such as age, weight, gender and tolerance through questionnaire surveys.
  • the cloud platform is equipped with a database, communication unit, recommendation unit, etc.
  • the database stores several technique combinations, adjustable parameters and historical evaluation data, etc.
  • the technique combination includes several massage instruction units, and each massage instruction unit has several combination packages .
  • the communication unit communicates with the mobile terminal and can receive personal information and send massage recommendations. Obtain the initial massage recommended combination according to personal information, calculate the correction amount according to the historical evaluation data, and adjust the adjustable parameters according to the correction amount to obtain the final massage recommendation combination.
  • the user can establish a personal account on the cloud platform in advance through the mobile terminal.
  • the massage chair collects the user’s physiological parameter information and sends the information to the mobile terminal.
  • the mobile terminal collects the user’s basic information and sends it to the cloud platform together with the physiological parameter information.
  • the cloud platform calculates the personal information through the relevant calculation model.
  • the initial massage recommended combination is calculated based on the historical evaluation data, and the adjustable parameters are adjusted according to the correction value to obtain the final massage recommended combination and sent to the mobile terminal.
  • the mobile terminal then sends the massage recommended combination to the massage chair.
  • the recommended combination performs the corresponding massage action; after the massage is completed, the mobile terminal collects the evaluation data and transmits it to the cloud platform.
  • An intelligent massage chair recommended massage program optimization method Its main features are the same as the first embodiment. The difference is that the combination of techniques is a preset massage mode, that is, a combination of several massage command units is a preset combination. Personal information is calculated to obtain relevant indicators, and one of the method combinations is determined according to the indicators. For example, the relevant index is the degree of fatigue, and each fatigue degree corresponds to a massage mode to relieve fatigue.
  • a smart massage chair recommended massage program optimization method, device and system The optimization method and device are the same as those in the first embodiment. The difference lies in that the recommendation system includes:
  • the massage chair is equipped with an information collection unit, a storage unit, a communication unit, a control unit and several massage devices.
  • the storage unit stores a number of manipulation combinations, adjustable parameters, historical evaluation data, etc.
  • the manipulation combination includes a number of massage instruction units, and each massage instruction unit is provided with a number of combination packages.
  • the information collection unit is used to collect physiological parameter information and can be designed as a detection handle or a built-in detection module; and an intelligent interactive interface is set to collect basic information and evaluation data such as age, weight, gender, and tolerance through questionnaire surveys.
  • the communication unit is used to communicate with the cloud platform, which can be implemented through WIFI or internet or other internet communication protocols.
  • the several massage devices are used to perform massage actions, which can correspond to several massage instruction units, including head massage unit, neck massage unit, back massage unit, waist massage unit, hip massage unit, foot massage unit, etc.
  • the massage device may not correspond to the massage instruction unit.
  • the control unit is used to control the coordinated work of each unit.
  • the cloud platform is equipped with a database, communication unit, recommendation unit, etc.
  • the database stores several technique combinations, adjustable parameters and historical evaluation data, etc.
  • the technique combination includes several massage instruction units, and each massage instruction unit has several combination packages .
  • the communication unit communicates with the mobile terminal and can receive personal information and send massage recommendations. Obtain the initial massage recommended combination according to personal information, calculate the correction amount according to the historical evaluation data, and adjust the adjustable parameters according to the correction amount to obtain the final massage recommendation combination.
  • the user can establish a personal account on the cloud platform in advance through a mobile terminal.
  • the massage chair collects the user’s physiological parameter information and basic information and sends the information to the cloud platform.
  • the cloud platform calculates the personal information through the relevant calculation model to generate the initial massage recommendation combination, and then calculate the correction amount based on the historical evaluation data. Adjust the adjustable parameters according to the correction amount to obtain the final recommended massage combination and send it to the massage chair.
  • the massage chair executes the corresponding massage action according to the recommended massage combination. After the massage is completed, the massage chair collects the evaluation data and transmits it to the cloud platform.

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  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Rehabilitation Therapy (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Pain & Pain Management (AREA)
  • Physical Education & Sports Medicine (AREA)
  • Epidemiology (AREA)
  • Software Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Massaging Devices (AREA)
PCT/CN2019/130295 2019-07-01 2019-12-31 一种智能按摩椅推荐按摩程序优化方法和系统 WO2021000554A1 (zh)

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