Massage device and method of operation thereof

Abstract

An embodiment of the present invention provides a massage device, characterized by including a massage unit for massaging a user's body, and a control unit for controlling the massage unit to provide a user-customized massage pattern.

Description

[0001] This application is a divisional application of patent application No. 2025116980455, filed on November 19, 2025, entitled "Massage Device and Method of Movement Thereof". Technical Field

[0002] This disclosure relates to a massage device and its method of operation that provides customized massage to a user based on at least one of past, present, and future temperament. Specifically, it relates to a massage device and its method of operation that utilizes information such as a user's innate temperament, current temperament and / or physical condition, and future temperament to provide customized massage. Background Technology

[0003] Massage refers to the application of various forms of mechanical stimulation to a part of the body, such as kneading, pressing, stretching, patting, or inducing physical activity, to adjust changes in the body, promote blood circulation, and relieve fatigue. Due to economic and time constraints, the demand for massage devices (or massage chairs) that provide manual massage functions has increased. Specifically, with the growing need to relieve stiff muscles and eliminate fatigue or stress through massage, various massage devices that offer good time and cost-effectiveness have been introduced. A massage device is any shapeless instrument, device, or apparatus that provides massage through mechanical means in the absence of a separate masseuse. Recently, with increasing interest in health and the evolution of massage devices from simply providing massage functions to offering various additional and / or medical functions, research into methods for effectively controlling massage devices continues. Summary of the Invention

[0004] The technical problem to be solved This disclosure is made in response to the above-mentioned technical background. One of the various purposes of this disclosure is to provide a massage device and its method of action that provides user-customized massage based on at least one of past, present and future temperament.

[0005] However, the technical problems are not limited to those mentioned above; other technical problems may also exist.

[0006] Technical solutions for solving the problem An embodiment of the present invention for solving the above problems can provide a massage device, comprising: a massage unit for massaging a user's body, and a control unit for controlling the massage unit to provide a user-customized massage mode; the user-customized massage mode is determined based on state information, which is information about one or more of the user's innate state, current state, and future state.

[0007] In addition, the status information is information obtained based on the user's personal information, which includes at least one of the following: the user's date and time of birth, biological information, medical information, physical information, personality tendency information, and one or more of the four-element medical information.

[0008] In addition, the status information is first information about the user's innate status obtained based on the user's personal information, which includes at least one of the user's date and time of birth.

[0009] In addition, the first information includes one or more of the following: information about a user's congenital diseases, information about a user's high probability of having congenital diseases, and information about the congenital health status of each part of the user's body.

[0010] In addition, the first information includes information about at least one body part, either congenitally strong or congenitally weak, obtained based on the correlation between the congenital state and the body part corresponding to the congenital state.

[0011] In addition, the status information is a second piece of information about the user's current status, obtained based on the user's personal information, which includes one or more of the user's biological information, medical information, physical information, personality tendency information, and four-element medical information.

[0012] In addition, the second information includes one or more of the following: information on the user's current illness, information on the user's potential current illness, and information on the current health status of each part of the user's body.

[0013] Additionally, the second information includes information about at least one body part, either currently strong or currently weak, obtained based on the correlation between the current state and the body part corresponding to the current state.

[0014] In addition, the status information is third information about the user's future status obtained based on the user's personal information, which includes one or more of the following: prediction information of the user's future status, weather information based on the user's place of residence, and geographic information based on the user's place of residence.

[0015] In addition, the third information includes one or more of the following: future diseases that the user will have in the future, future diseases that the user is likely to have in the future, and the future health status of each part of the user's body.

[0016] In addition, the third information includes information about at least one body part that will become stronger and a body part that will become weaker, obtained based on the correlation between the future state and the body part corresponding to the future state.

[0017] In addition, the status information is obtained by inputting the user's personal information into an artificial intelligence model that has pre-learned the correlation between the personal information of any object and the status information of any object.

[0018] In addition, the user-customized massage mode is a mode in which at least one of the body parts is set as the target massage area.

[0019] In addition, the user-customized massage mode is a mode that massages target areas that have a positive impact on the user's condition.

[0020] In addition, one or more of the massage target areas and massage patterns in the user-customized massage mode are determined based on the state information.

[0021] In addition, the massage pattern includes at least one of the following: massage ratio of the target area, massage type of each target area, ratio of massage types, massage sequence of the target area, massage intensity, massage speed, and audiovisual content.

[0022] In addition, it includes one or more of a massage module and an airbag for performing massage actions, wherein at least one of the moving speed of the massage module, the inflation speed of the airbag, and the moving speed of the massage device is determined according to the state information.

[0023] In addition, the personal information is obtained through the interface environment provided to the user via the massage device.

[0024] In addition, the user-customized massage mode is generated based on the state information and is a massage mode customized for at least one of the innate state, the current state, and the future state.

[0025] In addition, the target massage area and the massage pattern of the user-customized massage mode are determined and generated based on the status information.

[0026] Another embodiment of this disclosure for solving the above-mentioned problems can provide a method for operating a massage device, which may include: a mode acquisition step of acquiring a user-customized massage mode determined based on state information, said state information being information about one or more of the user's innate state, current state, and future state; and a control step of controlling the massage unit to provide the user-customized massage mode.

[0027] Another embodiment of the present invention for solving the above-mentioned problems can provide a massage device, comprising: a control unit for controlling the massage device; and a massage unit for massaging at least a part of a user's body, wherein the control unit acquires a user-customized massage mode, the user-customized massage mode being generated based on at least one of first information about the user's innate temperament, second information about the user's current temperament, and third information about the user's future temperament, and controls the massage unit based on the user-customized massage mode to provide the user with the user-customized massage mode.

[0028] In addition, the first information can be determined based on the user's birth chart (Ba Zi).

[0029] In addition, the first information can be obtained by inputting at least one of the user's birth date and time into an artificial intelligence model, which has pre-learned the relationship between at least one of the birth date and time, the Four Pillars of Destiny (Bazi), and the innate temperament based on the Four Pillars of Destiny.

[0030] In addition, the first information may include at least one of the following: a first disease that the user is born with, a second disease that the user is likely to have, and the innate health status of each part of the user's body.

[0031] In addition, the second information can be determined based on at least one of the user's biological information, medical information, physical information, personality tendency information, and four-element medical information.

[0032] In addition, the second information may include at least one of the following: the user's current illness, the user's most likely current illness, and the current health status of each part of the user's body.

[0033] In addition, the third information can be determined based on at least one of the following: the user's tarot results; the user's zodiac fortune information, constellation fortune information, and fortune information based on the date of birth; weather information based on the user's place of residence; and feng shui information based on the user's place of residence.

[0034] In addition, the third information may include at least one of the following: diseases the user is likely to have in the future, diseases that the user is likely to have in the future, and the future health status of each part of the user's body.

[0035] Additionally, the third information may include at least one of the following: information about whether mental relaxation is needed, information about whether vitality needs to be enhanced, and information about whether physical relaxation is needed.

[0036] In addition, the target massage area and the massage pattern for the user-customized massage mode can be determined based on the at least one piece of information.

[0037] Additionally, the at least one piece of information may include information about a body part of the user that corresponds to at least one of the user's illness and health status. The body part of the user may be at least one of the body parts of the user that would have a positive effect on the user's illness when receiving massage, a body part of the user that is strong, or a body part of the user that is weak. The target area for massage may be determined based on the information about the user's body part.

[0038] In addition, when there are multiple body parts, the massage target area can be determined as the body part whose frequency is above the threshold value among the multiple body parts based on the frequency of each of the multiple body parts and a preset threshold value.

[0039] In addition, the massage pattern can be determined based on whether the massage target area is a strong body part of the user's body. The massage pattern may include at least one of the following: massage ratio of the massage target area, massage type of each massage target area, ratio of the massage types, massage sequence of the massage target area, massage intensity, massage speed, and audiovisual content.

[0040] Additionally, when the target massage area includes both strong and weak body parts of the user's body, the massage patterns for the strong body parts and the weak body parts may include at least one of the following: massage patterns that are different from each other and massage patterns that are the same as each other.

[0041] In addition, when the massage patterns of the strong body parts and the weak body parts are different from each other, the massage pattern of the strong body parts can be determined to have a lower massage ratio and a stronger massage intensity than the massage pattern of the weak body parts.

[0042] Another embodiment of this disclosure for solving the above-mentioned problems can provide a method of operating a massage device, which may include: the step of obtaining a user-customized massage mode, the user-customized massage mode being generated based on at least one of first information about the innate temperament of a user using the massage device, second information about the user's current temperament, and third information about the user's future temperament; and the step of providing the user-customized massage mode to the user.

[0043] Beneficial effects According to one embodiment of the present invention, providing users with customized massage can achieve effects such as improving fatigue, relieving stress, alleviating pain, and improving blood circulation. Attached Figure Description

[0044] Figure 1 This is a diagram illustrating one embodiment of the massage device 100 of the present invention.

[0045] Figure 2 It is used for explanation Figure 1 The diagram of the frame part 1100.

[0046] Figure 3 This is a diagram illustrating the constituent elements of a massage device according to an embodiment of the present invention.

[0047] Figure 4 This is a diagram illustrating a zero-gravity posture according to an embodiment of the present invention.

[0048] Figure 5 This is a diagram illustrating the airbag structure of an arm massage unit 3000 according to an embodiment of the present invention.

[0049] Figure 6 This is a diagram illustrating the airbag structure of a leg massage unit 2000 according to an embodiment of the present invention.

[0050] Figure 7 This diagram illustrates a method for generating and providing a user-customized massage pattern based on at least one of past, present, and future temperaments according to an embodiment of the present invention.

[0051] Figure 8 This diagram illustrates an artificial intelligence model that outputs constitution information based on the Four Pillars of Destiny (Bazi) by inputting a user's birth date and time, according to an embodiment of the present invention.

[0052] Figure 9 This is a schematic diagram illustrating an artificial neural network according to an embodiment of the present invention. Detailed Implementation

[0053] The objectives, features, and advantages of this disclosure described above will become more apparent through the following embodiments in conjunction with the accompanying drawings. The specific structures and functional descriptions below are merely illustrative of embodiments based on the concepts of this disclosure. These embodiments can be implemented in various ways and should not be construed as limited to the embodiments described in this specification or application. Various modifications and arrangements can be made to embodiments based on the concepts of this disclosure; therefore, specific embodiments are shown in the drawings and described in detail in this specification or application. However, this is not intended to limit the embodiments of the concepts of this disclosure to a particular mode of disclosure, but should be understood to include all modifications, equivalents, and substitutions contained within the spirit and scope of this disclosure. While terms such as "first" and / or "second" can be used to describe various constituent elements, the constituent elements are not limited to these terms. These terms are used only to distinguish one constituent element from another; for example, a first constituent element may be named a second constituent element without departing from the scope of protection of the concepts of this disclosure, and similarly, a second constituent element may be named a first constituent element. When a component is "connected" or "combined" to another component, it should be understood that it can be directly connected or combined to the other component, and other components may exist between them. Conversely, when a component is "directly connected" or "directly combined" to another component, it should be understood that no other components exist between them. Other expressions used to describe the relationship between components, such as "located between" and "between" or "adjacent to" and "directly adjacent to," should also be interpreted in the same manner. The terminology used in this specification is used only to illustrate specific embodiments and is not intended to limit the scope of this disclosure. Unless the context clearly specifies otherwise, singular expressions include plural expressions. Terms such as "comprising" or "having" in this specification are used to specify the presence of the described features, numbers, steps, actions, components, elements, or combinations thereof, and do not presuppose the presence or other possibilities of one or more other features, numbers, steps, actions, components, elements, elements, or combinations thereof. Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art. Terms defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning in the context of the relevant technology, and should not be interpreted as having an ideal or overly formal meaning unless explicitly defined in this specification.

[0054] Unless explicitly stated otherwise, the singular form in this specification includes the plural form. Additionally, unless explicitly stated otherwise, the multiple forms also include the single form.

[0055] Furthermore, the term "part" used in this specification refers to a software or hardware component, and a "part" performs certain functions. However, a "part" is not limited to software or hardware. A "part" can be configured to exist in addressable storage media or to reproduce one or more processors. Thus, as an example, a "part" includes: components such as software components, object-oriented software components, class components, and task components; procedures; functions; properties; programs; subroutines; program code segments; drivers; firmware; microcode; circuits; data; databases; data structures; tables; arrays; and variables. The functionality provided by components and "parts" can be provided by combining them into fewer components and "parts," or by further separating them into more components and "parts."

[0056] According to one embodiment of the present invention, a "part" may be implemented as a processor and memory. The term "processor" should be interpreted broadly to include general-purpose processors, central processing units (CPUs), microprocessors, digital signal processors (DSPs), controllers, microcontrollers, state machines, etc. In some cases, "processor" may refer to application-specific integrated circuits (ASICs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), etc. The term "processor" may refer to a combination of processing devices, such as a combination of a DSP (digital signal processor) and a microprocessor, a combination of multiple microprocessors, a combination of one or more microprocessors coupled to a DSP core, or any other combination of such configurations.

[0057] The term "memory" should be broadly interpreted to include any electronic component capable of storing electronic information. The term memory can refer to various types of processor-readable media, such as Random Access Memory (RAM), Read-Only Memory (ROM), Non-Volatile Random Access Memory (NVRAM), Programmable Read-Only Memory (PROM), Erasable Programmable Read-Only Memory (EPROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), flash memory, magnetic or optical data storage devices, registers, etc. If a processor can read information from memory and / or record information in memory, then the memory can be said to be in a state of electronic communication with the processor. Memory integrated into the processor is in a state of electronic communication with the processor.

[0058] In this specification, an actuator refers to a structure capable of providing driving force. For example, an actuator may include, but is not limited to, an electric motor, a linear motor, an electric motor, a direct current (DC) motor, an alternating current (AC) motor, a linear actuator, an electric actuator, etc.

[0059] In this specification, a screw rod is a straight member with a groove having a helical shape, and can be made of a metallic material. For example, a screw rod may include a cylindrical rod with helical grooves on its surface. Alternatively, a screw rod may include a metal lead screw.

[0060] In this specification, according to one embodiment, a massage device may refer to a massage device including a body massage section and a leg massage section 2000. Alternatively, according to another embodiment, the body massage section 100 and the leg massage section 2000 may exist as separate, independent devices (e.g., a body massage device and a leg massage device), and the massage device may refer to either a body massage device or a leg massage device.

[0061] The embodiments of this disclosure will now be described in more detail with reference to the accompanying drawings.

[0062] Figure 1 This is a diagram illustrating one embodiment of the massage device 100 of the present invention.

[0063] A massage device 100 according to one embodiment of the present invention may include a massage section for massaging at least a part of the user's body.

[0064] The massage unit may include at least one of the following: a body massage unit 1000, which forms an area for accommodating at least a portion of the user's body and massages the user's body; a leg massage unit 2000, which massages the user's legs; and an arm massage unit 3000, which massages the user's arms.

[0065] The body massage unit 1000 is capable of providing massage to at least a part of a user's body. The body massage unit 1000 may include: a massage module 1700 for providing massage function to at least a part of the user's body; an audio output module 1500 for providing audio output to the user in any form; a frame unit 1100 for forming the frame of the body massage unit 1000; and a user input unit 1400 for receiving input in any form from the user.

[0066] The structure included in the body massage unit 1000 described above is merely an exemplary embodiment. In addition to the aforementioned structure, the body massage unit 1000 may also include various other structures.

[0067] In addition, such as Figure 1 The shape and structure of the massage device 100 shown are merely examples. Various forms of massage devices 100 should also fall within the scope of this invention without departing from the scope of the claims.

[0068] The body massage unit 1000 can be formed into a space of any shape to accommodate a user. The body massage unit 1000 can be configured with a space whose shape corresponds to the user's body form. For example, as... Figure 1 As shown, the body massage unit 1000 can be implemented in a seated type that can accommodate the whole body or part of the body of the user 10.

[0069] The part of the body massage unit 100 that contacts the ground may include any material or component for increasing friction (e.g., an anti-slip mat, etc.) and may include wheels for enhancing the mobility of the massage device 100.

[0070] At least a portion of the body massage unit 1000 can slide. For example, when the body massage unit 1000 begins to massage, at least a portion of the body massage unit 1000 can slide forward. Additionally, the body massage unit 1000 can tilt backward. As a result, the body massage unit 1000 can provide massage while tilted backward.

[0071] According to one embodiment of the present invention, the massage device 100 may include at least one airbag. The airbag may be located in the user's shoulder area, pelvic area, arm massage area 3000, leg massage area 2000, etc., but is not limited thereto, and may be configured in multiple parts of the massage device 100.

[0072] The massage device 100 may include an air supply unit (not shown in the accompanying drawings) that supplies air to an airbag to inflate it. The air supply unit may be located inside the body massage unit 1000 or in the leg massage unit 2000. Alternatively, the air supply unit may be located outside the massage device 100.

[0073] The leg massage unit 2000 can provide leg massage to the user. For example, the leg massage unit 2000 may include a calf massage unit for massaging the user's calves and / or a foot massage unit for massaging the user's feet.

[0074] The leg massage unit 2000 can be adjusted in length according to the user's body characteristics. For example, when a tall user uses the massage device 100, the leg massage unit 2000 needs to be longer because the user's calves are longer. Conversely, when a short user uses the massage device 100, the leg massage unit 2000 needs to be shorter because the user's calves are shorter. Therefore, the leg massage unit 2000 can provide a leg massage that is tailored to the user's height.

[0075] Reference Figure 1Multiple leg massage units 2000 can be installed, and user 10's right and left feet can each insert one of the multiple leg massage units 2000. The multiple leg massage units can be driven (or moved) relative to each other and / or independently. For example, the length and angle of each leg massage unit can be controlled (or adjusted) independently of each other. The leg massage units 2000 will be described in detail later.

[0076] The arm massage unit 3000 is located on both sides of the body massage unit 1000 and can provide arm massage to the user. For example, the arm massage unit 3000 may include a variety of massage units: a hand massage unit to massage the user's hands; and / or a forearm massage unit to massage the user's forearm.

[0077] The massage module 1700 can be disposed inside the body massage unit 1000 to provide mechanical stimulation of any form to the user accommodated in the body massage unit 1000. The massage module 1700 can be disposed along... Figure 1 The frame 1100 inside the body massage unit 1000 shown moves.

[0078] For example, the frame portion 1100 of the body massage unit 1000 may include a rack 1112, and the massage module 1700 provides mechanical stimulation to various parts of the user's body while moving along the rack 1112. The massage module 1700 may include a ball massage unit or a roller massage unit, but is not limited to these.

[0079] The frame portion 1100 forms the frame for the internal structure of the body massage portion 1000, and can be made of materials such as metal or plastic. For example, the frame portion 1100 can be made of iron, alloy, steel, etc., but is not limited to these, and can also be made of various sturdy materials.

[0080] Reference Figure 3 According to one embodiment of the present invention, the massage device 100 may include an audio output module 1500.

[0081] The audio output module 1500 can be located in various positions. For example, the audio output module 1500 may include multiple output units, such as an upper audio output unit located on the upper part of the seat section that is in contact with the user sitting on the massage device 100, a front audio output unit attached to the front end of the left and right arm massage sections 3000 of the seat section, and / or a rear audio output unit attached to the rear end of the arm massage sections 3000, etc., but not limited to these.

[0082] According to an embodiment of the present invention, the seat portion of the massage device 100 may include: an upper body support portion for supporting the upper body of the user; and a lower body support portion for supporting the lower body of the user.

[0083] The upper body support unit contacts and supports the user's upper body, specifically the area from the head to the waist and back. The lower body support unit contacts and supports the user's body in the area below the upper body support unit, such as the buttocks and thighs.

[0084] In this case, the audio output module 1500 can provide stereo sound such as 5.1 channels, but is not limited to this.

[0085] According to one embodiment of the present invention, a user can control the massage device 100 using a massage device control device CD. The massage device control device CD can be connected to the massage device 100 via wired and / or wireless communication.

[0086] The massage device control device CD may include a remote controller, a cellular phone, a personal digital assistant (PDA), etc., but is not limited to these, and may include various electronic devices that can be connected to the massage device 100 via wired or wireless communication.

[0087] Figure 2 It is used for explanation Figure 1 The diagram of the frame part 1100, Figure 3 This is a diagram illustrating the constituent elements of a massage device according to an embodiment of the invention.

[0088] According to an embodiment of the present invention, the massage device 100 may include at least one of a frame portion 1100, a control portion 1200, a storage portion 1300, a user input portion 1400, an audio output module 1500, a network connection portion 1600, and a massage module 1700.

[0089] The frame portion 1100 can be a structure that forms the skeleton of the body massage portion 1000.

[0090] According to one embodiment of the present invention, the frame portion 1100 may include a main frame on which the massage module 1700 is provided and a base frame 1130 for supporting the main frame.

[0091] The main frame (without reference numerals) may include: a back frame 1110 for forming the skeleton of the user's upper body; and a seat frame 1120 for forming the skeleton of the seat.

[0092] At least a portion of the body frame may be provided with a rack 1112. The rack 1112 is used to guide the massage module 1700 in the up-down direction (towards...). Figure 2 The movable component (based on) may include multiple valleys and multiple ridges.

[0093] According to one embodiment of the present invention, the rack 1112 can be arranged facing each other on both sides of the main frame, specifically the back frame 1110 and the seat frame 1120, and the massage module 1700 can move along the rack 1112.

[0094] For example, the massage module 1700 may include a gear that meshes with the rack 1112, the gear being rotated by an actuator of the massage module 1700, thereby enabling the massage module 1700 to move upward or downward.

[0095] The rack 1112 may be made of metal or plastic. For example, the rack 1112 may be made of iron, steel, alloy, reinforced plastic, melamine resin, phenolic resin, etc., but is not limited to these.

[0096] The body frame can be realized in various shapes. For example, the main frame can be classified into S-frame, L-frame, S&L-frame, and double S&L-frame according to its shape, but it is not limited to these.

[0097] An S-frame is a frame in which at least a portion of the main frame has an S-shaped bend. An L-frame is a frame in which at least a portion of the body frame includes an L-shaped bend. An S&L frame is a frame in which both S-shaped and L-shaped bends are included. A double S&L frame is a frame in which both L-shaped and two S-shaped bends are included.

[0098] The base frame 1130 refers to the part of the frame portion 1100 that supports the body frame and contacts the ground. The base frame 1130 may include an upper base frame 1131 and a lower base frame 1132.

[0099] The upper base frame 1131 can support the main frame, and the lower base frame 1132 can contact the ground. In addition, the upper base frame 1131 can be arranged in contact with the lower base frame 1132.

[0100] According to one embodiment of the present invention, the upper base frame 1131 is movable along the lower base frame 1132. For example, the upper base frame 1131 is slidably moved forward and / or backward along the lower base frame 1132. In this case, since the main frame is connected to the upper base frame 1131, it is able to move along with the movement of the upper base frame 1131.

[0101] For example, when the upper base frame 1131 moves forward, the main frame can also move forward together; when the upper base frame 1131 moves backward, the main frame can also move backward together. This allows the body massage unit 1000 to slide.

[0102] The control unit 1200 is capable of controlling the operation of the massage device 100. The control unit 1200 may include one or more processors. When the control unit 1200 includes multiple processors, at least some of the multiple processors may be located at physically spaced distances from each other. Furthermore, the control unit 1200 is not limited to this and may be implemented in various ways.

[0103] For example, the control unit 1200 may be equivalent to one or more processors. The processor may be implemented by an array of multiple logic gates, or by a combination of a general-purpose microprocessor and a memory storing a program executable in the microprocessor. Furthermore, those skilled in the art will understand that other types of hardware can be used to implement it.

[0104] According to one embodiment of the present invention, the control unit 1200 can control the operation of the massage device 100.

[0105] For example, the massage device 100 may include a plurality of actuators, and the massage device 100 can control the operation of the massage device 100 by controlling the operation of the plurality of actuators.

[0106] For example, the massage device 100 may include at least one of the following: a motion actuator of the massage module, at least one actuator included in the massage module 1700, a back angle actuator, a leg angle actuator, a foot massage actuator, a leg length adjustment actuator, and a sliding actuator. The control unit 1200 can control the operation of the massage device 100 by controlling these actuators.

[0107] In this specification, "leg length adjustment actuator" may refer to the connecting drive unit provided in the leg massage unit 2000.

[0108] The massage module movement actuator is an actuator that enables the massage module 1700 to move up and down. Through the action of the massage module movement actuator, the massage module 1700 can move along the rack 1112.

[0109] The back angle actuator is an actuator that adjusts the angle of the part of the user's back that contacts the massage device 100. The back angle of the massage device 100 can be adjusted by the movement of the back angle actuator.

[0110] The leg angle actuator is an actuator used to adjust the angle of the leg massage section 2000 of the massage device 100. The angle between the leg massage section 2000 and the body massage section 1000 can be adjusted by the action of the leg angle actuator.

[0111] The foot massage actuator is an actuator used to actuate the foot massage module included in the leg massage unit 2000, specifically the foot massage unit 2200. By using the foot massage actuator, the massage device 100 can provide foot massage to the user.

[0112] The massage module 1700 may include at least one actuator, and the control unit 1200 may provide a variety of massage actions by activating at least one actuator. For example, the control unit 1200 may provide tapping massage, kneading massage, etc. by activating at least one actuator in the massage module 1700, and is not limited thereto, and may provide a variety of massage actions.

[0113] The leg length adjustment actuator, i.e., the connecting drive unit, is an actuator used to adjust the length of the leg massage unit 2000. For example, the control unit 1200 can use the leg length adjustment actuator to adjust the length of the leg massage unit 2000 to fit the user, so that the user can enjoy a massage that matches their body shape.

[0114] Specifically, the leg massage unit 2000 includes a connecting frame unit, a foot massage unit, and a calf massage unit. The foot massage unit and the calf massage unit can move independently of each other on the connecting frame unit and can be driven separately.

[0115] The sliding actuator enables the massage device 100 to perform a sliding motion. For example, by means of the sliding actuator, the upper frame 1131 of the horizontal base can move forward or backward, and as a result, the main frame connected to the upper frame 1131 of the horizontal base can also move forward or backward.

[0116] The storage unit 1300 can store various information related to the massage device 100. For example, the storage unit 1300 may include massage control information, and may also include personal authentication information, but is not limited thereto.

[0117] The storage unit 1300 can be implemented using a non-volatile storage medium capable of continuously storing arbitrary data. For example, the storage unit 1300 may include not only disks, optical disks, and magneto-optical storage devices, but also storage devices based on flash memory and / or battery backup memory, but is not limited to these.

[0118] Additionally, the storage unit 1300 may include a memory. The memory may be random access memory (RAM) such as dynamic random access memory (DRAM) or static random access memory (SRAM), serving as the primary storage device directly accessed by the processor. It is a volatile storage device whose stored information is instantly deleted when the power is disconnected, but is not limited to this. This memory can be operated via the control unit 1200.

[0119] The user input unit 1400 can receive commands related to the operation and control of the massage device 100 from the user. The user input unit 1400 can be implemented in various forms. For example, the user input unit 1400 can be provided in the body massage unit 1000, the leg massage unit 2000, and the arm massage unit 3000, but is not limited thereto.

[0120] The massage device 100 can obtain various commands from the user through the user input unit 1400. For example, the massage device 100 can receive any commands, but is not limited to, regarding the selection of massage module, massage mode, massage intensity, massage time, massage area, position and movement of the body massage unit 1000, on / off power supply of the massage device 100, whether to activate the heating function, and audio source playback.

[0121] As an optional embodiment, the user input unit 1400 may have various buttons in the form of hot keys and / or option buttons for selecting, canceling, or inputting execution directions, according to preset user settings or its own preset functions.

[0122] The user input unit 1400 can be implemented using a keyboard, dome switch, touchpad (static / electrostatic), jog wheel, jog switch, etc., but is not limited to these. Alternatively, the user input unit 1400 can be based on voice recognition technology to obtain commands based on the user's voice.

[0123] According to one embodiment of the present invention, the user input unit 1400 may include a display for displaying the operating status of the massage device 100 or the current state of the user. In this case, the display may include at least one of a liquid crystal display (LCD), a thin film transistor-liquid crystal display (TFT LCD), an organic light-emitting diode (OLED), a flexible display, and a 3D display, but is not limited thereto.

[0124] The audio output module 1500 is capable of providing audio output to the user in any form. For example, the audio output module 1500 outputs to the user the optimal sound source and / or binaural beats for the massage method provided by the massage device 100, thereby providing brain stimulation to the user. The audio output module 1500 can output audio signals received via a network (not shown) or stored in internal / external storage media (not shown).

[0125] For example, the audio output module 1500 can output audio sources controlled by the user terminal via a connection to a user terminal and a network (e.g., Bluetooth connection). Additionally, the audio output module 1500 can output any form of sound signal generated in association with the operation of the massage device 100.

[0126] According to one embodiment of the invention, a massage device 100 may include a network connection unit 1600. The network connection unit 1600 can communicate with modules inside the massage device 100, external massage devices 100, and / or user terminals via any type of network.

[0127] The network connection unit 1600 may include a wired / wireless connection module for network connection. Wireless connection technologies may include, for example, Wireless LAN (WLAN) (Wi-Fi), Wireless Broadband (Wibro), World Interoperability for Microwave Access (WiMAX), High Speed ​​Downlink Packet Access (HSDPA), etc.

[0128] As for wired connection technologies, examples include Digital Subscriber Line (xDSL), Fiber to the Home (FTTH), and Power Line Communication (PLC). Additionally, the network connection unit 1600 may include a short-range communication module capable of sending and receiving data with nearby devices or terminals. For example, as short-range communication technologies, Bluetooth, Radio Frequency Identification (RFID), Infrared Data Association (IrDA), Ultra Wideband (UWB), ZigBee, etc., may be used, but are not limited to these.

[0129] According to one embodiment of the present invention, the system implementing the present invention may optionally include a user equipment 300. The user equipment 300 may communicate with at least one of the server 200 and the massage device 100.

[0130] User equipment 300 may be a mobile terminal such as a smartphone, tablet, or laptop, but is not limited to this.

[0131] User equipment 300 may include a communication unit, a display unit, an input unit, and a processor. The communication unit supports multiple wireless communication protocols such as WiFi, Bluetooth, and NFC, enabling data reception and transmission with the massage device 100 and the server 200. The display unit visually displays the current operating status, settings, and usage history of the massage device 100, and the user can adjust massage settings such as massage intensity, target area, and duration through the input unit.

[0132] In addition, user equipment 300 can provide various interfaces through which users can input information. Furthermore, in response to the provided interfaces, the information input by the user can be provided to server 200 and / or massage device 100.

[0133] As described above, a massage device 100 according to an embodiment of the invention may include a massage module 1700. That is, the massage module 1700 is a structure that provides mechanical stimulation to the user, and the massage module 1700 can move along the frame portion 1100.

[0134] A massage device 100 according to one embodiment of the invention may include a frame portion 1100. (As shown by...) Figures 1 to 3 The frame portion 1100 can provide a movable path for the massage module 1700.

[0135] The control unit 1200 can apply mechanical stimulation to the user by controlling the movement of the massage module 1700, thereby providing a massage.

[0136] The control unit 1200 can move the massage module 1700 along the X, Y, and Z axes. The control unit 1200 can also move the massage ball forward or backward along the X, Y, and Z axes. Alternatively, the control unit 1200 can rotate the massage ball around the X, Y, and Z axes.

[0137] A massage device 100 according to an embodiment of the invention may include a sensor unit 1800. In this case, the sensor unit 1800 may include at least one sensor. For example, the sensor unit 1800 may include a touch sensor, a pressure sensor, an infrared sensor, an LED sensor, a light sensor, a Hall sensor, an electrostatic sensor, etc., but is not limited thereto.

[0138] The sensor unit 1800 can be used to acquire various types of information. For example, the sensor unit 1800 can be used to identify a user. That is, it can acquire information such as whether the user is seated, the user's body type, and whether the user has any physical abnormalities. As another example, the sensor unit 1800 can be used to acquire biometric information. That is, it can acquire fingerprint information, facial information, voice information, iris information, weight information, electrocardiogram information, body composition information, etc., but is not limited to these, and can include various types of biometric information.

[0139] As an optional embodiment, the massage device 100 can detect the contact area and / or contact position with the user through the sensor unit 1800.

[0140] In addition, the massage device 100 can obtain the user's shoulder position information through the sensor unit 1800.

[0141] Furthermore, the massage device 100 can provide personalized massage based on the acquired information. For example, when the massage device 100 provides a shoulder massage, it identifies the user's shoulder position based on the information acquired by the sensor unit 1800, and can provide a shoulder massage to the user based on the identification result.

[0142] The leg massage unit 2000 can be a structure for massaging a user's legs. A leg-accommodating space for accommodating the user's legs can be formed in the leg massage unit 2000. (See reference...) Figure 1 Multiple leg massage units 2000 can be set up, and each leg massage unit can be controlled independently. The user's right foot and left foot can be accommodated in each leg massage unit 2000 respectively.

[0143] Specifically, the multiple leg massage units 2000 may include foot massage units and calf massage units, which can be inserted, installed and accommodate the user's right foot and left foot respectively.

[0144] According to an embodiment of the present invention, the user-customized massage pattern based on at least one of past, present, and future temperament (state), as described below, can be generated by server 200. For example, a user can input information (e.g., date and time of birth) through massage device 100 and / or massage device control device. Massage device 100 transmits the input information to server 200, which generates a user-customized massage pattern based on the acquired information and transmits the generated massage pattern to massage device 100 and / or massage device control device. Massage device 100 acquires the user-customized massage pattern generated based on at least one of past, present, and future temperament, and performs actions based on the acquired user-customized massage pattern, thereby providing the user with a massage based on the user-customized massage pattern.

[0145] As another embodiment, server 200 can obtain user information (e.g., date and time of birth) through user devices (e.g., smartphones, etc.) and can use the obtained information to generate user-customized massage modes.

[0146] As another embodiment, the massage device 100 can directly generate a user-customized massage pattern based on at least one of past, present, and future temperaments, without going through the server 200. For example, the control unit 1200 generates a user-customized massage pattern based on input and / or acquired user information, and can provide the user with a massage according to the generated massage pattern.

[0147] The following describes in detail the method by which the server 200 and / or massage device 100 generate a user-customized massage mode based on at least one of past, present and future temperament.

[0148] Figure 4 This is a diagram illustrating a zero-gravity posture according to an embodiment of the present invention.

[0149] According to one embodiment of the present invention, the massage device 100 can provide massage in a zero-gravity state. For example, the massage device 1000 can tilt (or slide) the body massage portion 100 backward, so that any predetermined position of the body massage portion 100 is almost the same as any predetermined height corresponding to the arm massage portion 3000. In this case, in order to slide any predetermined position of the body massage portion 100 to any predetermined height corresponding to the arm massage portion 3000, at least one of a position sensor, a magnetic proximity sensor, an optical proximity sensor, an ultrasonic proximity sensor, an inductive proximity sensor, a capacitive proximity sensor, a detection sensor, an ultrasonic rangefinder, an optical rangefinder, and a laser sensor can be used.

[0150] The massage device 100 adjusts the sliding motion by taking into account the user's personal body information, thereby determining a zero-gravity state.

[0151] For example, the control unit 1200 can retrieve partial position information of the body massage unit 100 that matches the user's shoulder position information from the storage unit 1300, and control the sliding movement so that the retrieved partial position information reaches any predetermined height corresponding to the arm massage unit 3000. Since the sliding movement of the body massage unit 100 has already been described, detailed description is omitted.

[0152] Figure 5 This is a diagram illustrating the airbag structure of the arm massage unit 3000 according to an embodiment of the present invention. Figure 6 This is a diagram illustrating the airbag structure of a leg massage unit 2000 according to an embodiment of the present invention.

[0153] Reference Figure 5 The arm massage unit 3000 may include multiple arm airbags. For example, it may include a first arm massage unit 3100 disposed on one side of the body massage unit 1000 and a second arm massage unit 3200 disposed on the other side of the body massage unit 1000. The first arm massage unit 3100 may include a first arm airbag 3110 disposed along the inner wall of the first arm massage unit 3100, and the second arm massage unit 3200 may include a second arm airbag 3210 disposed along the inner wall of the second arm massage unit 3200.

[0154] The first arm airbag 3110 may include: a first sub-arm airbag 3111 disposed at one end of the first arm massage unit 3100; a second sub-arm airbag 3112 disposed at the other end of the first arm massage unit 3100; and a third sub-arm airbag 3113 disposed between one end and the other end of the first arm massage unit 3100. The second arm airbag 3210 may include: a fourth sub-arm airbag 3211 disposed at one end of the second arm massage unit 3200; a fifth sub-arm airbag 3212 disposed at the other end of the second arm massage unit 3200; and a sixth sub-arm airbag 3213 disposed between one end and the other end of the second arm massage unit 3200.

[0155] Reference Figure 6 The leg massage unit 2000 may include multiple leg airbags. For example, the leg massage unit 2000 may include: a first leg massage unit 2100 disposed on one lower side of the body massage unit 1000; and a second leg massage unit 2200 disposed on the other lower side of the body massage unit 1000. The first leg massage unit 2100 may include a first leg airbag 2110 disposed at one inner end of the first leg massage unit 2100 and a second leg airbag 2120 disposed at the other inner end of the first leg massage unit 2100, and the second leg massage unit 2200 may include a third leg airbag 2210 disposed at one inner end of the second leg massage unit 2200 and a fourth leg airbag 2220 disposed at the other inner end of the second leg massage unit 2200.

[0156] The first leg airbag 2110 may include a first sub-leg airbag 2111 disposed on one side; and a second sub-leg airbag 2112 disposed on the other side. The second leg airbag 2120 may include a third sub-leg airbag 2121 disposed on one side; and a fourth sub-leg airbag 2122 disposed on the other side. The third leg airbag 2210 may include a fifth sub-leg airbag 2211 disposed on one side; and a sixth sub-leg airbag 2212 disposed on the other side. The fourth leg airbag 2220 may include a seventh sub-leg airbag 2221 disposed on one side; and an eighth sub-leg airbag 2222 disposed on the other side.

[0157] Figure 7 This diagram illustrates a method for generating and providing a user-customized massage pattern to a user based on at least one of past, present, and future temperament (state) according to an embodiment of the present invention.

[0158] For ease of explanation, the following will describe the generation of a user-customized massage pattern in server 200 based on at least one of the user's past, present, and future temperament. However, as mentioned above, the massage pattern can be generated not only in server 200 but also in massage device 100. In other words, massage device 100 can perform all the actions of server 200.

[0159] In step S910, server 200 may generate a user-customized massage mode that corresponds to (or is tailored to) the user's temperament based on information about the user's temperament (step S910). Temperament may refer to at least one of the user's strength and physique.

[0160] First, server 200 can obtain the user's personal information and, based on the obtained information, obtain (or generate) at least one of the following: first information about the user's past temperament (or innate temperament, inherent temperament, natural temperament), second information about the user's current temperament, and third information about the user's future temperament.

[0161] A user's personal information may include at least one of the following: information related to the user's innate state (or information representing innate temperament), information related to the user's current state (or information representing current temperament), and information representing the user's future state (or information representing anticipated future temperament).

[0162] For example, server 200 can provide a user interface to the user (or an administrator managing the user, etc.) capable of receiving the user's personal information, and can obtain the user's personal information input by the user in response. In this case, server 200 can provide the user interface through the massage device control device and / or the user's device (e.g., user device, mobile phone, etc., not shown), but is not limited thereto. Furthermore, the user's personal information can be transmitted to server 200 through the aforementioned user interface and stored in server 200's database (or storage unit, memory).

[0163] Subsequently, the server 200 can generate a user-customized massage mode that corresponds to (or is customized for) the user's temperament based on at least one of the first to third information.

[0164] A user's past temperament (or innate temperament, inherent temperament, natural temperament) can refer to the temperament that a user possesses innately (or innate, natural, etc.) and / or the state of a temperament that is highly likely to be possessed innately. For example, a user's innate temperament can refer to the user's innate health state (or the user's innate health state) and / or the user's innate health state that is highly likely to be possessed innately.

[0165] A user's current temperament can refer to the temperament the user currently possesses (holds) and / or the state of temperament that is highly likely to be possessed. For example, a user's current temperament can refer to the user's current health status and / or the state of health that is highly likely to be possessed, such as the user's current health status.

[0166] A user's future temperament can refer to the temperament a user will possess in the future and / or a temperament state that is highly likely to be possessed in the future. For example, a user's future temperament can refer to their future health state and / or a health state that is highly likely to be possessed in the future, such as their future health state.

[0167] In other words, server 200 can generate a user-customized massage pattern based on at least one of the first to third information used to represent the user's temperament, which is tailored to at least one of the user's past, current, and future temperaments. The methods for obtaining (or generating) the first to third information and for generating the user-customized massage pattern will be described below.

[0168] The first piece of information can be determined based on at least one of the user's birth date and time (or the user's Four Pillars of Destiny). In this case, at least one of the user's birth date and time can be the user's innate personal information related to the user's innate state (or the user's innate personal information representing the innate temperament).

[0169] For example, server 200 can determine a user's past temperament by analyzing and / or evaluating at least one piece of information from the user's birth date and time (or the user's Four Pillars of Destiny) and generate first information to represent the user's past temperament.

[0170] Specifically, server 200 can obtain (or determine) a user's past temperament by using information about past temperament (or innate temperament) possessed by server 200 and / or a pre-learned artificial intelligence model, and based on at least one piece of information in the user's birth date and time (or the user's Four Pillars of Destiny), and generate first information including these.

[0171] Information about past temperament can refer to information that matches at least one of the following: the date and time of any person's birth, with at least one of the following: information about the person's Four Pillars of Destiny (Ba Zi) and information about the person's innate temperament.

[0172] Information about an individual's innate temperament may include information about the innate health status of each body part (e.g., information about innately strong (or robust, healthy) body parts and / or innately weak (or frail, unhealthy) body parts, etc.) and / or any individual's innate diseases (e.g., diseases that the individual is born with and / or is likely to have) and / or information about body parts corresponding to any individual's innate diseases, etc. Diseases may be at least one of cardiovascular diseases, musculoskeletal system diseases, digestive system diseases, and respiratory system diseases. Body parts corresponding to innate diseases may be massage targets that have a positive effect on the innate disease (e.g., treatment, improvement, relief, etc.), and massaging these body parts can have a positive effect on the innate disease.

[0173] The artificial intelligence model can be an AI model that has pre-learned the correlation between at least one of the birth date and time of any object, the Four Pillars of Destiny (Ba Zi) of any object, and the innate temperament of any object. The method by which the server 200 enables the AI ​​model to learn will be described in detail later.

[0174] For example, a pre-learned artificial intelligence model can learn to take at least one of the following information as input: the birth date and time of any object, and output information related to the object's Four Pillars of Destiny (Bazi) and / or the object's innate temperament, but is not limited to this. For example, a pre-learned artificial intelligence model can learn to take at least one of the following information as input: the birth date and time of any object, and output the object's Four Pillars of Destiny; and take the object's Four Pillars of Destiny as input, and output the object's innate temperament. In this case, the artificial intelligence model can be set up on server 200 or on a separate external device, and can communicate with server 200.

[0175] First, the server 200 can obtain at least one of the user's birth date and time (or the user's Four Pillars of Destiny) through the user interface described above.

[0176] Subsequently, server 200 can obtain information about the user's birth chart and / or past temperament through information about past temperament and / or a pre-learned artificial intelligence model, and can generate first information including the obtained information about the user's birth chart and / or innate temperament.

[0177] As an example, server 200 can input at least one of the user's birth date and time into an artificial intelligence model, thereby obtaining information about the user's birth chart and / or the user's innate temperament through the result value.

[0178] As another example, server 200 can compare information about past temperament with at least one of the user's birth date and time, thereby obtaining the Four Pillars of Destiny and / or innate temperament information of any object corresponding to at least one of the user's birth date and time as information about the user's innate temperament.

[0179] In other words, a user's Four Pillars of Destiny (or innate temperament) corresponds to at least one of the user's birth dates and times. This can be obtained by inputting at least one of the user's birth dates and times into a pre-learned artificial intelligence model, or by comparing it with information about past temperament.

[0180] The first information may include various information used to represent the user's innate temperament (or innate health status) obtained based on the user's innate personal information.

[0181] For example, the first information may include various information for representing the user's innate health status, such as at least one of information about the innate health status of each part of the user's body and / or information about the user's innate diseases (or ailments).

[0182] Information about the innate health status of each part of a user's body may include information related to innately strong and / or innately weak parts of the user's body.

[0183] For example, based on a user's Four Pillars of Destiny (Ba Zi), if the Fire element is strong or weak, the first piece of information could include congenital heart weakness. Similarly, if there's an imbalance between the Earth and Metal elements, the first piece of information could include congenital lower back weakness. Furthermore, if the user has a weak Earth element or an imbalance between Earth and Water elements, the first piece of information could include congenital digestive system weakness. And if the user has a weak Metal element or an imbalance between Metal and Fire elements, the first piece of information could include congenital respiratory system weakness. These can be output, acquired, and / or generated through the aforementioned artificial intelligence model.

[0184] Information about a user's congenital diseases may include the user's congenital diseases (or diseases that are present from birth) and / or diseases that are likely to be present from birth (or diseases that are likely to be present from birth) and / or information about the body parts that correspond to the user's congenital diseases.

[0185] For example, people with a strong or weak fire element in their Four Pillars of Destiny are more likely to have congenital cardiovascular diseases. Additionally, people with an imbalance of earth and metal elements in their Four Pillars of Destiny are more likely to have congenital musculoskeletal system diseases. People with a weak earth element or an imbalance of earth and water elements in their Four Pillars of Destiny are more likely to have congenital digestive system diseases, and people with a weak metal element or an imbalance of metal and fire elements in their Four Pillars of Destiny are more likely to have congenital respiratory system diseases.

[0186] As mentioned above, if a user's Four Pillars of Destiny (Ba Zi) show a strong or weak Fire element, the first piece of information may include a higher probability of congenital cardiovascular disease. If the Four Pillars show an imbalance between Earth and Metal elements, the first piece of information may include a higher probability of congenital musculoskeletal system diseases. If the Four Pillars show a weak Earth element or an imbalance between Earth and Water elements, the first piece of information may include a higher probability of congenital digestive system diseases. If the Four Pillars show a weak Metal element or an imbalance between Metal and Fire elements, the first piece of information may include a higher probability of congenital respiratory system diseases.

[0187] The second information can be determined based on at least one of the user's biometrics, medical information, physical information, personality traits, and four-element medical information. In this case, at least one of the user's biometrics, medical information, physical information, personality traits, and four-element medical information is the user's current personal information (or the user's current personal information used to represent the current temperament) related to the user's current state, and can be the most recently acquired (or updated) information within a specified time frame, such as within 1 year, 2 years, etc.

[0188] For example, server 200 can determine a user's current temperament by analyzing and / or evaluating at least one of the user's biological information, medical information, physical information, personality tendency information, and four-element medical information, and generate second information to represent the user's current temperament.

[0189] Specifically, server 200 can obtain (or determine) a user's current temperament based on at least one of the user's biological information, medical information, physical information, personality tendency information, and four-element medical information, using information possessed by server 200 about the current temperament and / or a pre-learned artificial intelligence model, and generate second information including these.

[0190] Information about current temperament can refer to information that matches at least one of the following: biological information, medical information, physical information, personality tendency information, and four-element medical information about any object with information about the current temperament of any object.

[0191] Biological information of any object can include various information about the organism of any object, such as at least one of the following: sex, age, blood pressure, heart rate, electrocardiogram, body composition, brain wave, pulse, and pulse wave.

[0192] Medical information for any object may include various information related to the object's medical care (or medical records), such as at least one of the object's medical records, disease information, information on medications being taken, genetic predisposition or family history information, and hospital examination information.

[0193] The body information of any object can include various information about the body of any object, such as at least one of the following: height, weight, obesity, musculoskeletal system, electrocardiogram, body composition, blood pressure information, pulse information, and body shape information.

[0194] Personality tendency information for any object may include various information used to represent the personality tendency of any object, such as at least one of the following: personality type test results for any object, such as MBTI (e.g., whether the personality is extroverted or introverted), interpersonal relationship pattern information analysis information, stress coping style information (e.g., whether the personality is confrontational or avoidant in the face of stress), emotion expression and regulation ability information, decision-making tendency information, and lifestyle habit information.

[0195] Information about any object in Four-Element Medicine can include information about the object's Four-Element Constitution. The Four-Element Constitution is a Korean traditional constitution medicine theory based on Four-Element Medicine, which categorizes individuals into Taiyin, Taiyang, Shaoyin, and Shaoyang types. Therefore, information about any object in Four-Element Medicine (or information about the Four-Element Constitution) can include at least one of the following: information indicating whether the object is at least one of Taiyin, Taiyang, Shaoyin, and Shaoyang; information about the object's current illness for each of the Four-Element Constitutions; information about the body part corresponding to the current illness; and information about the current health status of each body part.

[0196] Information about an individual's current temperament may include information about the current health status of each body part (e.g., information about currently strong and / or currently weak body parts) and / or the individual's current illness (e.g., illnesses the individual currently has and / or is likely to have) and / or information about the body parts corresponding to the current illness. The body parts corresponding to the current illness may be massage targets that have a positive effect on the current illness (e.g., treatment, improvement, relief, etc.), and massaging these body parts can have a positive effect on the current illness.

[0197] An artificial intelligence model can be an artificial intelligence model that has pre-learned the correlation between at least one of the following information of any object: biological information, medical information, physical information, personality tendency information, and four-element medical information, and the current temperament of any object.

[0198] For example, a pre-learned artificial intelligence model can learn to take as input at least one of the following information about an arbitrary object: biological information, medical information, physical information, personality tendency information, and four-element medical information, and output information about the current temperament of the arbitrary object. In this case, the artificial intelligence model can be located on server 200 or on a separate external device, and can communicate with server 200.

[0199] First, the server 200 can obtain at least one of the following information from the user's biological information, medical information, physical information, personality tendency information, and four-element medical information through the user interface described above.

[0200] A user's biometric information may include various information about the user's body, such as at least one of the following: gender, age, blood pressure, heart rate, electrocardiogram, body composition, brain wave, pulse, and pulse wave.

[0201] A user's medical information may include various information related to the user's medical care (or medical records), such as at least one of the following: the user's medical records, disease information, information on medications currently being taken, genetic predisposition or family history information, and hospital examination information.

[0202] A user's body information may include various information about the user's body, such as at least one of the following: height, weight, obesity, musculoskeletal system, electrocardiogram, body composition, blood pressure, pulse, and body type.

[0203] User personality tendency information may include at least one of the following: personality type test results such as MBTI (e.g., whether the user is extroverted or introverted), interpersonal relationship pattern information analysis, stress coping style information (e.g., whether the user is confrontational or avoidant), emotion expression and regulation ability information, decision-making tendency information, and lifestyle habit information.

[0204] A user's Four-Element Medical Information may include information about the user's Four-Element Constitution. For example, a user's Four-Element Medical Information (or information about the Four-Element Constitution) may include information indicating whether the user is at least one of the following: Taiyin, Taiyang, Shaoyin, and Shaoyang.

[0205] Subsequently, server 200 can obtain information about the user's current temperament through its own information about the current temperament and / or a pre-learned artificial intelligence model, and can generate second information that includes the obtained information about the user's current temperament.

[0206] As an example, server 200 obtains information about the user's current temperament by inputting at least one of the user's biological information, medical information, physical information, personality tendency information, and four-element medical information into an artificial intelligence model.

[0207] As another example, server 200 obtains information about the current temperament of any object corresponding to at least one of the user's biological information, medical information, physical information, personality tendency information, and four-element medical information by comparing the information about the current temperament with at least one of the user's biological information, medical information, physical information, personality tendency information, and four-element medical information.

[0208] In other words, a user's current temperament can be obtained by inputting at least one of the user's biological information, medical information, physical information, personality tendency information, and four-element medical information into a pre-learned artificial intelligence model, or by comparing it with existing information about the current temperament.

[0209] The second information may include various information used to represent the user's current temperament (or current health status) obtained based on the user's current personal information.

[0210] For example, the second information may include various information for representing the user's current health status, such as at least one of information regarding the current health status of each part of the user's body and / or information regarding the user's current illness.

[0211] Information about the current health status of each part of the user's body can include information about the currently strong and / or currently weak parts of the body.

[0212] For example, if a user is currently receiving treatment for their lower back, shoulders, digestive system, or respiratory system, the second information may include at least one of the following: information indicating that the user's lower back, shoulders, digestive system, or respiratory system is currently weak.

[0213] Information about a user’s current illness may include information about the illness the user currently has and / or the illness the user is likely to have and / or information about the body part of the user that corresponds to the current illness.

[0214] For example, if a user's medical records include medical records about digestive and respiratory diseases, the second information may include information about the user currently having a digestive and / or respiratory disease and / or information about the likelihood that the user currently has a digestive and / or respiratory disease.

[0215] The second piece of information will be explained in more detail below.

[0216] Server 200 can obtain (or generate, determine) the second information based on at least one of the first current characteristic information, the second current characteristic information, the third current characteristic information, and the fourth current characteristic information.

[0217] The first current characteristic information can be obtained and / or generated based on at least one of the user's biometrics and physical information.

[0218] For example, the first current characteristic information can be obtained and / or generated by assessing (or analyzing) the current state of a user's body parts (e.g., at least one part of the cardiovascular, musculoskeletal, digestive, and respiratory systems) based on the user's bio-information and / or body information.

[0219] Specifically, the first current characteristic information can be obtained and / or generated by acquiring (or analyzing, predicting) the current state (e.g., whether the user is currently healthy) of at least one of the following: the user's gender, age, blood pressure information, heart rate information, electrocardiogram information, body composition information, electroencephalogram information, pulse and pulse wave information, height, weight, obesity, musculoskeletal system, electrocardiogram, body composition, blood pressure information, pulse information, and body shape information, and by assessing the current state of the user's body parts based on the acquired results.

[0220] As an example, server 200 may possess information about the current disease of any object that matches the biometrics and / or physical information of any object (or data about the probability of occurrence of each disease) and / or information about the current health status of each body part of any object. Server 200 may, based on the possessed information and the acquired biometrics and / or physical information of the user, acquire information about the disease corresponding to the user (or information about the probability of occurrence of each disease) and / or the current health status of each body part corresponding to the user (e.g., currently weak body parts and / or currently strong body parts). Server 200 may determine the acquired disease and / or the current health status of each body part as the user's current disease and / or the current health status of each body part of the user, and generate first current characteristic information including these.

[0221] For example, if a user's cardiovascular-related information, such as blood pressure, corresponds to a health risk value, the server 200 can assess that the user currently has cardiovascular disease or is highly likely to have cardiovascular disease, and generate second current characteristic information that includes this assessment information.

[0222] By acquiring the probability data of occurrence for each disease, server 200 can generate first current characteristic information based on the acquired probability of occurrence for each disease (e.g., the probability of occurrence of cardiovascular, musculoskeletal, digestive, and respiratory diseases). For example, server 200 determines whether the acquired probability of occurrence for each disease exceeds a preset threshold (e.g., the probability of occurrence is 50%). Based on the determination result, if the probability of occurrence for each disease exceeds the threshold, first current characteristic information including disease information exceeding the threshold can be generated.

[0223] As another example, server 200 may possess a pre-learned artificial intelligence model. This model takes as input at least one of the biometric information and / or body information of any object and outputs information about the object's current disease and / or information about the current health status of each body part of the object. Server 200 may input at least one of the acquired biometric information and body information of a user into the pre-learned artificial intelligence model, thereby obtaining information about the user's current disease and / or information about the current health status of each body part of the user through the resulting value. Server 200 may generate first current characteristic information including the acquired information about the user's current disease and / or information about the current health status of each body part of the user. At this time, when server 200 obtains the probability of occurrence of each disease, server 200 may filter out diseases whose probability of occurrence exceeds a threshold (e.g., 50%) as described above, and may generate first current characteristic information including information about the filtered diseases.

[0224] The second current characteristic information can be obtained and / or generated based on the user's medical information.

[0225] For example, second current characteristic information can be obtained and / or generated by assessing (or analyzing) the current state of a user's body parts based on the user's medical information.

[0226] Specifically, the second current characteristic information can be obtained and / or generated by acquiring (or analyzing, predicting) the current status of at least one of the user's medical records, disease information, information on medications currently being taken, genetic predisposition or family history information, and hospital examination information, and by assessing the current status of the user's body parts based on the acquired results.

[0227] As an example, server 200 may possess current disease information and / or current health status information for each body part of any object, matching the medical information of that object. Server 200 may, based on the information it possesses and the acquired medical information of the user, obtain information about the user's current disease and / or current health status for each body part, and generate second current characteristic information including these.

[0228] For example, if a user has a history of cardiovascular disease, the server 200 assesses that the user currently has cardiovascular disease or is highly likely to have cardiovascular disease, and generates second current characteristic information that includes this assessment information.

[0229] As another example, server 200 may be equipped with a pre-learned artificial intelligence model that takes into account the medical information of any object and outputs information about the object's current illness and / or the current health status of each body part. Server 200 can obtain information about the user's current illness and / or the current health status of each body part by inputting the user's medical information into the learned artificial intelligence and using the resulting value, and generate second current characteristic information including these.

[0230] Third, current characteristic information can be obtained and / or generated based on the user's personality tendency information.

[0231] For example, third current characteristic information can be obtained and / or generated by assessing (or analyzing) the current state of a user's body parts based on the user's personality tendency information.

[0232] Specifically, the third current characteristic information can be obtained and / or generated by acquiring (or analyzing, predicting) the current state of at least one of the following: the user's personality type (e.g., whether the personality is extroverted or introverted), interpersonal relationship pattern, stress coping style (e.g., whether the stress response is confrontational or avoidant), emotional expression and regulation ability, decision-making tendency, and lifestyle habits (e.g., whether the user is currently healthy), and by assessing the current state of the user's body parts based on the acquired results.

[0233] As an example, server 200 may possess current disease information and / or current health status information for each body part of any object, matching the object's personality tendency information. Server 200 may, based on the possessed information and the acquired user's personality tendency information, obtain information about the user's current disease and / or the current health status of each body part, and generate third current characteristic information including these.

[0234] For example, server 200 can provide a user with an interface for inputting answers to questions (e.g., the interface described above) and obtain the information the user inputs through the provided interface. Server 200 can obtain the user's personality tendency information based on the input information. This personality tendency information may include, but is not limited to, information about whether the user is extroverted or introverted, or whether the user is confrontational or avoidant in the face of stress. For example, server 200 can determine whether the user is extroverted or introverted and whether the user is confrontational or avoidant in the face of stress based on the information input by the user.

[0235] If an extroverted personality trait and / or an adversarial personality trait match cardiovascular disease, and the user's personality trait is both extroverted and adversarial, then server 200 obtains information that the user currently has cardiovascular disease or is likely to have cardiovascular disease, and analyzes (or determines, judges, or predicts) based on the obtained information to determine that the user currently has cardiovascular disease or is likely to have cardiovascular disease.

[0236] If an introverted personality type and / or an avoidant personality type matches a digestive system disease, and the user's personality type is both introverted and avoidant, then the server 200 obtains information that the user currently has a digestive system disease or is likely to have a digestive system disease, and analyzes (or determines, judges, or predicts) based on the obtained information that the user currently has a digestive system disease or is likely to have a digestive system disease.

[0237] As another example, server 200 can be configured with a pre-learned artificial intelligence model. This model takes into account the personality tendency information of any object and outputs information about the object's current illness and / or the current health status of each body part. Server 200 can obtain information about the user's current illness and / or the current health status of each body part by inputting the user's personality tendency information into the learned artificial intelligence and using the resulting value, and generate third current characteristic information including these.

[0238] The fourth current characteristic information can be obtained and / or generated based on the user's four-dimensional medical information.

[0239] For example, fourth current characteristic information can be obtained and / or generated by assessing (or analyzing) the current state of a user's body parts based on the user's four-element constitution assessment according to the user's four-element medical information.

[0240] Specifically, the fourth current characteristic information can be obtained and / or generated by acquiring (or analyzing, predicting) whether the user is at least one of Taiyin, Taiyang, Shaoyin, and Shaoyang, and by assessing the current state of the user's body parts based on the user's four-element constitution.

[0241] As an example, server 200 can retain information about the current disease of any object and / or the current health status of each body part of any object that matches the four-dimensional medical information of any object. Server 200 can obtain information about the current disease of a user and / or the current health status of each body part of the user based on the user's four-dimensional medical information it possesses and acquires, and generate fourth current characteristic information including these.

[0242] If the Taiyin person is matched with cardiovascular disease, and the user is a Taiyin person, then server 200 obtains information that the user currently has cardiovascular disease or is likely to have cardiovascular disease, and analyzes (or determines, judges, predicts) based on the obtained information to determine that the user currently has cardiovascular disease or is likely to have cardiovascular disease.

[0243] If a person with a Shaoyang constitution is matched with a musculoskeletal disease, and the user is a person with a Shaoyang constitution, then server 200 obtains information that the user currently has a musculoskeletal disease or is likely to have a musculoskeletal disease, and based on the obtained information, analyzes (or determines, judges, or predicts) that the user currently has a musculoskeletal disease or is likely to have a musculoskeletal disease.

[0244] If a Sun Person is matched with a respiratory disease, and the user is a Sun Person, then server 200 obtains information that the user currently has a respiratory disease or is highly likely to have a respiratory disease, and analyzes (or determines, judges, or predicts) based on the obtained information to determine that the user currently has a respiratory disease or is highly likely to have a respiratory disease.

[0245] If a person with a Shaoyin constitution is matched with a digestive system disease, and the user is a person with a Shaoyin constitution, then server 200 obtains information that the user currently has a digestive system disease or is likely to have a digestive system disease, and analyzes (or determines, judges, or predicts) the obtained information to determine that the user currently has a digestive system disease or is likely to have a digestive system disease.

[0246] As another example, server 200 may be equipped with a pre-learned artificial intelligence model. This model takes into account the four-dimensional medical information of any object and outputs information about the object's current illness and / or the current health status of each body part. Server 200 can obtain information about the user's current illness and / or the current health status of each body part by inputting the user's four-dimensional medical information into the learned artificial intelligence and using the resulting value, and generate third current characteristic information including these.

[0247] The fourth current characteristic information is included in, but not limited to, the second information about the user's current temperament. The user's four-element constitution is an innate constitution, which may be a congenital disease and / or the innate health status of each body part. Therefore, the fourth current characteristic information is included in the first information and is used to generate a user-customized massage pattern tailored to the user's past temperament.

[0248] As described above, server 200 can search for information similar to the user's personal information from the information it possesses, or input the user's personal information into a pre-learned artificial intelligence model to generate the user's current characteristic information.

[0249] In addition, according to an embodiment of the present invention, the server 200 may generate second information based on at least one of the first current characteristic information, the second current characteristic information, the third current characteristic information, and the fourth current characteristic information.

[0250] As described above, the first current characteristic information, the second current characteristic information, the third current characteristic information, and the fourth current characteristic information may each include information about the user's current illness and / or the current health status of each part of the user's body.

[0251] Server 200 can calculate the frequency of the user's current disease and / or the current health status of each body part of the user included in the first current characteristic information, the second current characteristic information, the third current characteristic information, and the fourth current characteristic information, and generate second information based on the calculated frequency.

[0252] When the first current characteristic information, the second current characteristic information, and the third current characteristic information obtained by the server 200 all include musculoskeletal system diseases as the user's current disease, the server 200 can generate second information that includes information about the user's musculoskeletal system diseases.

[0253] When the first current characteristic information, the second current characteristic information, and the third current characteristic information obtained by the server 200 include digestive system diseases as the user's current disease, and the fourth current characteristic information includes musculoskeletal system diseases as the user's current disease, the server 200 can determine only "digestive system diseases" with the highest frequency among the first to fourth current characteristic information as the user's current disease, and generate second information that only includes information about digestive system diseases.

[0254] When the first current characteristic information, the second current characteristic information, and the third current characteristic information obtained by the server 200 all include information about lumbar weakness, the server 200 can generate second information that includes information about lumbar weakness.

[0255] When the first current characteristic information, the second current characteristic information, and the third current characteristic information obtained by the server 200 include information about weakness in the lower back, and the fourth current characteristic information includes information about weakness in the shoulders, the server 200 can generate second information that includes only the information about weakness in the lower back, which has the highest frequency among the first to fourth current characteristic information.

[0256] Additionally, server 200 may retain a threshold value for the frequency of a user’s current illness and / or the current health status of each part of the user’s body, and generate second information that includes only information about the user’s current illness and / or the current health status of each part of the user’s body that corresponds to (or includes) frequencies above the threshold value.

[0257] If the threshold value is 2, and the user's current illnesses in the first to fourth current characteristic information include 2 musculoskeletal system diseases, 3 digestive system diseases, and 1 cardiovascular disease, then the server 200 can identify musculoskeletal system diseases and digestive system diseases as the user's current illnesses and generate second information that only includes information about the disease.

[0258] If the threshold value is 2, and the first to fourth current characteristic information includes information on 2 instances of lumbar weakness, 3 instances of shoulder weakness, and 1 instance of leg weakness, then the server 200 can generate second information that only includes the user's current lumbar weakness and shoulder weakness.

[0259] As described above, server 200 generates second information based on the frequency of each of the diseases, strong body parts, and weak body parts, but is not limited thereto. For example, server 200 may include information about all diseases, all strong body parts, and all weak body parts from the current characteristic information obtained by server 200 in the second information. In this case, the second information may include matching diseases and their frequencies, matching strong body parts and their frequencies, and matching weak body parts and their frequencies.

[0260] In addition, the second information can be sorted according to the frequency of diseases, in the order of high-frequency diseases (or vice versa), and can be sorted according to the frequency of strong body parts and / or weak body parts, in the order of high-frequency strong body parts and / or weak body parts.

[0261] The third piece of information can be determined based on at least one of the following: the user's tarot (card) results; the user's zodiac fortune information, astrological fortune information, and fortune information based on the date of birth; weather information based on the user's place of residence; and feng shui information based on the user's place of residence. In this case, at least one of the following: the user's tarot results; the user's zodiac fortune information, astrological fortune information, and fortune information based on the date of birth; weather information based on the user's place of residence; and feng shui information based on the user's place of residence can be the user's personal information related to their future state (or personal information representing the user's anticipated future temperament, or personal information used to predict the user's future state).

[0262] For example, server 200 can determine a user's future temperament by analyzing and / or evaluating at least one of the user's tarot results, at least one of the above-mentioned fortune information, weather information, and feng shui information, and generate third information to represent the user's future temperament.

[0263] Specifically, server 200 can acquire (or determine) a user's future temperament using a pre-learned artificial intelligence model and based on at least one of the user's tarot results, at least one of the aforementioned fortune information, weather information, and feng shui information, and generate third information including these. However, similar to the first and second information mentioned above, the third information can also be generated based on ownership information about the future temperament retained by server 200 (e.g., ownership information about the future temperament of any object) and the user's personal information.

[0264] An artificial intelligence model can be an AI model that has pre-learned the correlation between at least one of the following information and the future temperament of any object: tarot results information, zodiac fortune information, astrological fortune information, fortune information based on the birth date of any object, weather information based on the place of residence of any object, and feng shui information based on the place of residence of any object.

[0265] For example, a pre-learned artificial intelligence model can be trained to take into account at least one of the following: tarot readings of any object, zodiac fortune information of any object, astrological fortune information of any object, fortune information based on any object's birth date, weather information based on any object's place of residence, and feng shui information based on any object's place of residence, and output information about the future temperament of the object. In this case, the artificial intelligence model can be located on server 200 or on a separate external device, and can communicate with server 200.

[0266] Tarot results for any object can include various information as tarot readings (or tarot fortune-telling information) performed by the object, such as information about the tarot (information about the tarot cards; for example, whether the tarot cards are positive or negative and the fortune they represent), information about the cards chosen by the object, and predictive information (or fortune-telling information) indicating whether the cards chosen by the object are positive for the object's future physical and / or mental state.

[0267] If the card chosen by any individual is a positive card, the tarot reading may include information indicating that the individual's physical and / or mental state will be positive in the future. If the card chosen by any individual is a negative card, the tarot reading may include information indicating that the individual's physical and / or mental state will be negative in the future. Positive cards may include positive information regarding the health, illness, and / or mental state of each body part, while negative cards may include negative information regarding the health, illness, and / or mental state of each body part.

[0268] The zodiac fortune information, constellation fortune information, and fortune information based on the birth date (birth year, month, and day) of any object may include predictive information (or fortune information). The predictive information is used to indicate whether the physical and / or mental state of any object based on its zodiac, constellation, and birth date will be positive in the future. It is used as future fortune information for any object based on its zodiac, constellation, and birth date.

[0269] If any individual's zodiac sign, constellation, and horoscope information based on their birth date are positive, then this information may include information indicating that the individual's physical and / or mental state will be positive in the future. Conversely, if any individual's zodiac sign, constellation, and horoscope information based on their birth date are negative, this information may include information indicating that the individual's physical and / or mental state will be negative in the future. Positive horoscopes may include positive content regarding the health, illness, and / or mental state of each body part, and negative horoscopes may include negative content regarding the health, illness, and / or mental state of each body part.

[0270] Weather information based on the residence of any object may include forecast information indicating short-term, medium-term, and / or long-term weather forecasts and whether the physical and / or mental state of the object will be positive in the future for each type of weather.

[0271] If the weather is good (e.g., sunny), the weather information may include information that the physical and / or mental state of any object is positive in the future. If the weather is bad (e.g., cloudy), the weather information may include information that the physical and / or mental state of any object is negative in the future.

[0272] Feng shui information based on the residence of any object may include predictive information, which is used to indicate whether the residence of any object is suitable for the residence of any object, and whether the physical and / or mental state of any object will be positive in the future according to the feng shui of the residence of any object.

[0273] If any object's residence is auspicious according to Feng Shui, then the Feng Shui information may include information indicating that the object's physical and / or mental state will be positive in the future. If any object's residence is inauspicious according to Feng Shui, then the Feng Shui information may include information indicating that the object's physical and / or mental state will be negative in the future.

[0274] Information about the future temperament of any object may include at least one of the following: information about the future health status of each body part of the object (e.g., information about body parts that will become stronger and / or weaker in the future) and / or information about the object's future illnesses (e.g., illnesses that the object may have in the future and / or is likely to have), and information about body parts corresponding to the future illnesses. The body parts corresponding to the future illnesses may be massage targets that have a positive effect on the future illnesses (e.g., treatment, improvement, relief, etc.), and massaging these body parts can have a positive effect on the future illnesses.

[0275] First, the server 200 can obtain at least one of the following information through the user interface: the user's tarot results, the user's zodiac fortune information, the horoscope fortune information, the fortune information based on the date of birth, the weather information based on the user's place of residence, and the feng shui information based on the user's place of residence.

[0276] The user's tarot results information can include various information as tarot fortune information (or tarot divination information) performed by the user, such as information about the tarot (information about the tarot cards; such as whether the tarot cards are positive or negative cards and the fortune content represented by the cards, etc.), information about the cards selected by the user, and information (or fortune information) indicating whether the cards selected by any object are positive predictions (or fortune information) for the user's future physical and / or mental state, etc.

[0277] The user's zodiac fortune information, constellation fortune information, and fortune information based on birth date may include predictive information (or fortune information), which is used to indicate whether the user's physical and / or mental state based on zodiac, constellation, and birth date will be positive in the future, and serves as future fortune information for the user based on the user's zodiac, constellation, and birth date.

[0278] Weather information based on a user's place of residence may include forecast information, which is used to indicate short-term, medium-term and / or long-term weather forecasts and whether the user's physical and / or mental state will be positive in the future for each type of weather.

[0279] Feng shui information based on a user's residence may include predictive information, which indicates whether the user's physical and / or mental state will be positive in the future according to the feng shui of the user's residence. This predictive information is used to indicate whether the user's residence is suitable for any object's residence.

[0280] Subsequently, server 200 can obtain information about the user's future temperament through a pre-learned artificial intelligence model, and can generate third information including the obtained information about the user's future temperament.

[0281] For example, server 200 can input at least one of the following information into an artificial intelligence model: the user's tarot results; the user's zodiac fortune information, constellation fortune information, fortune information based on birth date; weather information based on the user's place of residence; and feng shui information based on the user's place of residence, thereby using the result value to obtain information about the user's future temperament.

[0282] The third information may include various information used to represent the user's future temperament (or the user's future health status) obtained based on the user's future personal information.

[0283] For example, the third information may include various information used to indicate the user's future health status, such as at least one of information about the future health status of each part of the user's body and / or information about the user's future diseases.

[0284] Information about the future health status of each part of a user's body can include information about body parts that will become stronger and / or weaker in the future.

[0285] For example, if at least one of a user's tarot, fortune telling, weather, or feng shui indicates that the user's waist and shoulders are in a negative position in the future, then the third information may include at least one of the information indicating that the user's waist and shoulders are currently weak.

[0286] Information about a user's future health conditions may include information about diseases the user may have in the future and / or diseases that the user is likely to have in the future.

[0287] For example, if at least one of a user's tarot, fortune telling, weather, or feng shui indicates that the user's digestive or respiratory systems are negative in the future, then the third information may include information that the user is more likely to suffer from digestive and / or respiratory diseases in the future.

[0288] As described above, the third information includes, but is not limited to, at least one of information regarding the future health status of each part of the user's body and / or information regarding the user's future illnesses. For example, server 200 may obtain the third information based on at least one of first, second, third, and fourth predictive information.

[0289] The first predictive information is generated by analyzing whether the user's mental state is positive based on the tarot results. For example, server 200 can provide a user interface for performing tarot readings, and the user responds by performing a tarot reading. Server 200 can analyze whether the user's mental state is positive based on the tarot results and generate the first predictive information based on that result. For example, if the tarot results show multiple positive cards (e.g., the Sun, the Star, the Magician, the Emperor, etc.), server 200 can determine that the user's mental state is positive. As another example, if multiple negative cards appear (e.g., the Moon, Death, the Devil, etc.), server 200 can determine that the user's mental state is negative. In this case, server 200 can provide the user interface through the user's device (e.g., a mobile phone), and can provide the user interface through a massage device control device, but is not limited to these.

[0290] The second predictive information is used to indicate whether a user's fortune is positive. It can be generated by analyzing at least one of the following: zodiac fortune information, constellation fortune information, and fortune information based on birth date. For example, if there are more positive indicators among the zodiac fortune information, constellation fortune information, and fortune information based on birth date, then server 200 can determine that the user's fortune is positive.

[0291] The third forecast information may include information about the stress that the weather will cause to the user. For example, if the temperature is above or below a preset temperature, the third forecast information may include information about the weather causing significant stress. Similarly, if the humidity is above a predetermined value, the third assessment information may include information about the weather causing significant stress.

[0292] The fourth predictive information is generated based on feng shui analysis of the residential information. For example, server 200 can provide a user with an interface that allows them to input residential information, and in response, server 200 can generate the fourth predictive information based on the input user information.

[0293] For example, if a user lives in a residence located on a steep slope, server 200 can determine that the residence causes significant stress for the user, and the fourth prediction information may include information about significant stress. Similarly, if a user lives in a residence facing north or west, server 200 can determine that the residence causes significant stress for the user, and the fourth prediction information may include information about significant stress.

[0294] Server 200 can determine whether a user needs to relax mentally, boost energy, or relax physically, based on at least one of the first, second, third, and fourth predictive information. Additionally, third information can be generated based on the determination result.

[0295] For example, server 200 may have pre-existing data indicating whether a user needs to relax mentally, boost energy, or relax physically, based on information included in the first, second, third, and fourth prediction information. Furthermore, it may determine whether mental relaxation, energy boosting, or physical relaxation is needed based on the pre-existing data, and generate third information based on the determination result.

[0296] Specifically, for example, if the mental state is negative and stress is high, Server 200 can determine that mental relaxation is needed. This is because when a negative mental state and high stress coexist, the psychological burden increases and may seriously interfere with daily life. Additionally, if the mental state is negative, stress is low, but luck is poor, Server 200 can determine that mental relaxation is needed. This is because although current stress is low, the combination of a negative mental state and poor luck carries the risk of increased stress in the future. Furthermore, if the mental state is negative, stress is low, and luck is good, Server 200 can determine that vitality needs to be enhanced. This is because it presents an opportunity to utilize better luck to improve a negative mental state, and active activity is more effective under lower stress. Additionally, if the mental state is positive, stress is high, and luck is poor, Server 200 can determine that physical relaxation is needed. This is because eliminating physical tension caused by high stress and poor luck helps maintain the current positive mental state. Finally, if the mental state is positive, stress is high, and luck is good, Server 200 can determine that vitality needs to be enhanced. This is because high stress can be eliminated through positive activities based on a positive mental state and good fortune. Furthermore, if the mental state is positive, stress is low, and fortune is good or bad, then Server 200 can be identified as needing to boost its vitality. This is because it represents an opportunity to develop into a better state based on the current stable state, and it strengthens positive abilities regardless of fortune.

[0297] Server 200 can generate a user-customized massage mode tailored to the user's temperament based on at least one of the first, second, and third information.

[0298] For example, server 200 can determine the target massage area and massage pattern of the target massage area for a user-customized massage mode based on at least one of the first to third information, and generate the user-customized massage mode based on the determination result. In other words, the target massage area and massage pattern of the target massage area for a user-customized massage mode can be determined based on at least one of the first, second, and third information.

[0299] First, the server 200 can determine the target massage area for the user-customized massage mode based on the information about the user's body parts included in the acquired information.

[0300] As described above, at least one of the first to third pieces of information may include information about at least one of the user's illness (e.g., at least one of a congenital illness, a current illness, and a future illness) and health status (e.g., a congenital health status, a current health status, and a future health status), as well as information about a body part corresponding to at least one of the user's illness and health status. In this case, the body part may be at least one of the user's body parts described above that has a positive effect on the user's illness when receiving massage, a part of the user's strong body, or a part of the user's weak body.

[0301] Server 200 can acquire information about the user's body parts included in at least one of the first to third pieces of information, and determine the target massage area for the user-customized massage mode based on the acquired information about the user's body parts. In other words, the target massage area for the user-customized massage mode can be determined based on the information about the user's body parts acquired by server 200.

[0302] As an example, server 200 can identify all the acquired user body parts as the target massage areas for the user-customized massage mode. If the acquired user body parts include body parts corresponding to the user's illness, the user's strong body parts, and the user's weak body parts, then server 200 can identify the body parts corresponding to the user's illness, the user's strong body parts, and the user's weak body parts as the target massage areas for the user-customized massage mode.

[0303] As another example, server 200 can determine the target massage area for each body part whose frequency is above a preset threshold based on the frequency of each body information of the user.

[0304] If the obtained user's body information consists of multiple body parts, the server 200 can calculate the frequency of each of the multiple body parts.

[0305] Server 200 can identify the body parts with frequencies above the preset thresholds as the target massage areas for the user-customized massage mode based on the frequencies of multiple body parts and the preset thresholds.

[0306] If the first piece of information includes information about the user's strong waist and back, the second piece of information includes information about the user's strong waist and weak shoulders, and the third piece of information includes information about the user's strong waist and weak shoulders, then server 200 can calculate the frequency of the user's waist as 3, the frequency of the back as 1, and the frequency of the shoulders as 2. At this point, server 200 can identify and acquire the user's waist as a strong body part, and identify and acquire the user's shoulders as a weak body part.

[0307] If the threshold value is 2, then the server 200 can identify the user's waist, back, and shoulders with frequencies above the threshold value as the target massage areas for the user's customized massage mode.

[0308] As described above, server 200 identifies all acquired user body information as massage target areas, or determines them based on frequency, but is not limited to these methods. For example, server 200 may determine massage target areas based on whether the acquired user body parts are strong or healthy. Specifically, in order to focus massage on the user's weak body parts (and / or body parts corresponding to diseases), server 200 may determine massage target areas in various ways, such as identifying body parts other than the user's strong body parts as massage target areas.

[0309] Server 200 can determine the massage pattern for a user-customized massage mode based on whether the identified massage target area is at least one of the user's strong or weak body parts. In this case, the massage pattern may include at least one of the following: massage ratio (weight) of the massage target area, massage type for each massage target area, ratio of massage types, massage sequence of the massage target areas, massage intensity, massage speed, and audiovisual content.

[0310] In other words, the massage patterns for a user-customized massage mode can be determined based on whether the target massage area is a strong part of the user's body.

[0311] For example, server 200 can determine whether the target massage area is a strong or weak part of the user's body based on the information obtained about the user's body parts, and determine the massage pattern for the target massage area based on the obtained results.

[0312] If the target massage area includes strong body parts and weak body parts (and / or body parts corresponding to diseases) of the user's body, then the server 200 can determine the massage pattern for each body part such that the massage patterns for strong body parts and weak body parts (and / or body parts corresponding to diseases) include at least one of the following: massage patterns that are different from each other and massage patterns that are the same as each other.

[0313] For example, server 200 can determine that massage patterns for strong body parts and massage patterns for weak body parts are different from each other. In this case, the massage pattern for strong body parts can be determined to have a lower massage ratio than the massage pattern for weak body parts, but a higher massage intensity.

[0314] Specifically, server 200 can determine that the massage ratio and massage type ratio of strong body parts are less than the massage ratio and massage type ratio of weak body parts.

[0315] Server 200 can identify more (or more diverse) massage types for strong body parts than massage types for weak body parts, and can identify massage types that provide stronger massages than massage types for weak body parts.

[0316] Server 200 can determine the massage sequence for strong body parts to be faster than that for weak body parts.

[0317] Server 200 can determine the massage intensity for strong body parts to be stronger than that for weak body parts.

[0318] Server 200 can determine the massage speed for strong body parts to be faster than the massage speed for weak body parts.

[0319] Therefore, the server 200 can generate a user-customized massage mode. Compared with the weak body parts, the user-customized massage mode first performs a short, strong and rapid massage on the strong body parts, thereby quickly and accurately relaxing the strong body parts. The weak body parts are indirectly relaxed through the relaxation of the strong body parts. Thus, while the user's body is in a state of overall relaxation, the weak body parts are massaged for a longer time, with weak and slow pressure, which is longer than that on the strong body parts. Therefore, while quickly and accurately relaxing the strong body parts, the weak body parts can be accurately relaxed without injury.

[0320] The following is a detailed explanation of the user-customized massage modes.

[0321] If at least one of the first and second information includes information indicating a higher likelihood of the user developing cardiovascular disease, the generated user-customized massage pattern may include: a cardiovascular first action, wherein in the leg massage section, airbags inflate sequentially from the lower leg to the thigh (e.g., in...). Figure 6 In the sequence from 2110 to 2120 and from 2210 to 2220); the second cardiovascular action, in the arm massage section, the air bladder expands sequentially from the wrist to the shoulder (e.g., in Figure 5 In the sequence of 3111 to 1113 to 3112 and 3211 to 3213 to 3212); and the cardiovascular third action, in the body massage section, the massage module protrudes from the lower side of the body massage section and performs acupressure massage to the upper side.

[0322] Additionally, if at least one of the first and second information includes information indicating a higher likelihood of the user developing a musculoskeletal system disease, the generated user-customized massage pattern may include: a first musculoskeletal system action, in the leg massage section, where multiple airbags alternately inflate; a second musculoskeletal system action, in the arm massage section, where multiple airbags alternately inflate; and a third musculoskeletal system action, in the body massage section, where a massage module protrudes from the upper side of the body massage section and performs a compound massage downwards.

[0323] In addition, in the third action of the musculoskeletal system, the degree of protrusion of the massage module is less than half of the maximum degree of protrusion, and the first action of the musculoskeletal system and the second action of the musculoskeletal system can each perform more than 70% of the time during the massage mode execution.

[0324] Additionally, if at least one of the first and second information includes information indicating a higher probability of the user developing digestive system diseases, the generated user-customized massage pattern may include: The first action of the digestive system involves the airbags in the leg massage section expanding sequentially from the ankle to the thigh and contracting sequentially from the thigh to the ankle, with the expansion time of the airbags being longer than the contraction time. The second action of the digestive system involves the airbags in the arm massage section expanding sequentially from the wrist to the shoulder and contracting sequentially from the shoulder to the wrist, with the expansion time of the airbags being longer than the contraction time. The third action of the digestive system involves the massage module in the body massage section moving downward and upward in a protruding state to stimulate the area near the spine.

[0325] Additionally, if at least one of the first and second information includes information indicating a higher likelihood of the user developing a respiratory illness, the generated user-customized massage pattern may include: The first action of the respiratory system, in the leg massage section, involves controlling the airbag so that the airbag's contraction time is relatively longer than its expansion time; the second action of the respiratory system, in the arm massage section, involves inflating and contracting the airbag in the arm massage section by synchronizing the expansion and contraction of the airbag in the leg massage section; the third action of the respiratory system, in the body massage section, involves the massage module moving up and down in a protruding state at least a portion of the user's upper body to provide acupressure massage; and the fourth action of the respiratory system, in the body massage section, involves the massage module providing tapping massage in a less protruding state at least a portion of the user's upper body to less protruding than the third action of the respiratory system.

[0326] Furthermore, according to one embodiment of the present invention, when at least one of the first information and the second information includes information representing the strong and / or weak parts of the user's body, the server 200 can generate a massage pattern by determining at least one of the following: massage target area, massage ratio of the massage target area, massage type of each massage target area, ratio of massage types, massage sequence, massage intensity, massage speed, and audiovisual content. In this case, the server 200 can generate the massage pattern using at least one of disease occurrence probability information, strong parts of the body, and weak parts of the body.

[0327] For example, if the user has a weak lower back, the server 200 can exclude the strong tapping massage of the lower back from the massage mode. Additionally, in the massage mode, the protrusion of the massage device on the lower back can be reduced to less than half. Conversely, if the user has a strong lower back, a massage mode can be generated to further protrude the massage module in the lower back massage section to perform a stronger massage.

[0328] Additionally, if the user's shoulder is weak, the server 200 can determine the intensity of the shoulder airbags to be weaker in the portion of the shoulder airbags providing massage via the massage mode. Specifically, a massage mode can be generated such that the massage is provided at less than 50% of the allowable inflation capacity of the shoulder airbags. Conversely, if the user's shoulder is strong, the intensity of the shoulder airbags to be strong in the portion of the shoulder airbags providing massage via the massage mode can be determined to be stronger. Specifically, a massage mode can be generated such that the massage is provided at more than 80% of the allowable inflation capacity of the shoulder airbags.

[0329] According to one embodiment of the present invention, if the third information includes information about the need for relaxation, then in the generated user-customized massage mode, at least one of the movement speed of the massage module, the inflation speed of the airbag, and the movement speed of the massage device may be relatively slow.

[0330] Additionally, if information requiring enhanced vitality is included, then in the generated user-customized massage mode, at least one of the movement speed of the massage module, the inflation speed of the airbag, and the movement speed of the massage device may be relatively fast.

[0331] Additionally, if information requiring body relaxation is included, then in the first half of the generated user-customized massage mode, at least one of the movement speed of the massage module, the inflation speed of the airbag, and the movement speed of the massage device can be relatively slow, and in the second half of the massage mode, at least one of the movement speed of the massage module, the inflation speed of the airbag, and the movement speed of the massage device can be relatively fast.

[0332] Server 200 can generate various user-customized massage modes based on the information included in the generated first, second, and third information. For example, if at least one of the first and second information includes information about a higher probability of musculoskeletal system diseases and a higher probability of digestive system diseases, a user-customized massage mode that includes both musculoskeletal system movements and digestive system movements can be generated. Furthermore, in this case, if the third information includes information about the need to enhance vitality, then in the generated user-customized massage mode, at least one of the following can be made relatively fast: the movement speed of the massage module, the inflation speed of the airbag, and the movement speed of the massage device.

[0333] Not limited to this, the server 200 can generate various user-customized massage modes based on the information included in the generated first, second, and third information.

[0334] In step S920, the massage device 100 can provide the user with a user-customized massage mode.

[0335] According to one embodiment of the present invention, the massage device 100 can receive data about a user-customized massage mode from the server 200. The control unit 1200 of the massage device 100 can acquire a user-customized massage mode generated based on at least one of the first to third pieces of information. Furthermore, the control unit 1200 can control various structures included in the massage device, such as massage units including at least one of a body massage unit, an arm massage unit, and a leg massage unit, based on the received (or acquired) user-customized massage mode, thereby providing the user with the user-customized massage mode. In other words, the massage device 100 can provide the user with a massage corresponding to the user-customized massage mode.

[0336] According to another embodiment of this disclosure, the massage device 100 can generate a user-customized massage pattern based on the method for generating first to third information by the server 200 and the method for creating a user-customized massage pattern. Furthermore, massage can be provided based on the generated user-customized massage pattern.

[0337] Figure 8 This diagram illustrates an artificial intelligence model that outputs constitution information based on the Four Pillars of Destiny (Bazi) by inputting a user's birth date and time, according to an embodiment of the present invention.

[0338] The artificial intelligence model of the present invention can be implemented by a deep neural network structure including an input layer, multiple hidden layers and an output layer.

[0339] The input layer receives a feature vector obtained by preprocessing the user's birth date and time. Specifically, the input birth date and time are first converted to the lunar calendar date, and based on this, the four pillars of the Four Pillars of Destiny are calculated: the year pillar, the month pillar, the day pillar, and the hour pillar.

[0340] Each pillar is composed of a combination of Heavenly Stems and Earthly Branches, and can be encoded into numerical data according to the Sixty-Year Cycle system. At this point, the Heavenly Stems and Earthly Branches of each pillar can be converted into binary vectors using one-hot encoding and provided to the input layer.

[0341] The first hidden layer can consist of 128 neurons and can use the Rectified Linear Unit (ReLU) activation function. In this layer, the basic characteristics of the Four Pillars of Destiny (a Chinese astrological system) can be extracted through a non-linear transformation of the input data. After the first hidden layer, overfitting can be prevented by setting a dropout layer that randomly deactivates 30% of the neurons.

[0342] The second hidden layer can include 64 neurons and can also use the ReLU activation function. In this layer, a higher level of abstraction can be achieved regarding the features extracted in the previous layer. Next, a second dropout layer with a 20% dropout rate can be configured.

[0343] The third hidden layer can consist of 32 neurons and can perform the final feature extraction through the ReLU activation function.

[0344] The output layer consists of the same number of neurons as the constitution types to be classified, and can output a probability value for each constitution type using a softmax activation function. The output value of each neuron is normalized to a probability value between 0 and 1, and the sum of the probabilities of all output neurons can be 1.

[0345] During model learning, the categorical cross-entropy loss function and the Adam optimization algorithm can be used. The learning rate is initialized to 0.001, and learning can be performed in mini-batch units of 32 samples. 80% of the entire dataset is used for learning, and the remaining 20% ​​is used as a validation set to evaluate the model's generalization performance.

[0346] In each training epoch, the model learns from the entire training data and can monitor the loss and accuracy on the validation set. If the validation loss no longer improves, overfitting can be prevented by early stopping.

[0347] If a new birth date is input, it can be converted into a feature vector through the same preprocessing. This transformed feature vector is then passed sequentially through each layer of the learned model, ultimately outputting the probability of occurrence for each disease cluster as a probability value.

[0348] Specifically, the artificial intelligence model of this invention can predict the likelihood of occurrence of four major disease groups: cardiovascular disease, musculoskeletal system disease, digestive system disease, and respiratory system disease.

[0349] The output probability values ​​can be interpreted based on a specific threshold (e.g., 0.5). Disease clusters with probabilities above the threshold can be identified as diseases that the user has a higher probability of developing.

[0350] Figure 7 and Figure 8 The artificial intelligence model described herein outputs various information based on various input information, but is not limited to this. For example, the massage device 100 and / or the server 200 can execute the actions of the artificial intelligence model. In other words, the control unit of the massage device 100 and / or the server 200 have built-in various processes corresponding to the artificial intelligence model, and therefore can execute all the actions executed by the artificial intelligence model. Figure 9 This is a schematic diagram illustrating an artificial neural network according to an embodiment of the present invention.

[0351] In this specification, the terms "computational model," "neural network," "network function," "neural network," and "artificial intelligence model" can be used interchangeably. A neural network can consist of a set of interconnected computational units, commonly called nodes. These nodes can also be called neurons. A neural network includes more than one node. The nodes (or neurons) that make up a neural network can be interconnected through more than one link.

[0352] In neural networks, multiple nodes connected by links can form relative relationships between input and output nodes. The concepts of input and output nodes are relative; any node that has an output node relationship with one node can also have an input node relationship with another node, and vice versa. As mentioned above, input-output node relationships can be generated around links. Multiple output nodes can be connected to an input node through links, and vice versa.

[0353] In a relationship where input and output nodes are connected by a link, the value of the output node's data can be determined based on the data input to the input nodes. Here, the links connecting the input and output nodes can have weights. These weights can be variable and can be changed by the user or algorithm to perform the functions required by the neural network. For example, when more than one input node is connected to an output node via a link, the output node's value can be determined based on the values ​​input to the input nodes connected to that output node and the weights set on the links corresponding to each input node.

[0354] As mentioned above, a neural network consists of one or more nodes interconnected by one or more links, forming an input-output node relationship within the network. The characteristics of a neural network can be determined based on the number of nodes and links, the relationships between the nodes and links, and the weight values ​​assigned to each link. For example, two neural networks with the same number of nodes and links but different link weight values ​​can be identified as different from each other.

[0355] A neural network can consist of a set of more than one node. A subset of the nodes that make up a neural network can form a layer. A portion of the nodes that make up a neural network can form a layer based on their distance from the initial input node. For example, a set of nodes at a distance of n from the initial input node can form n layers. The distance from the initial input node can be defined as the minimum number of links required to reach that node from the initial input node. However, this definition of a layer is arbitrary for illustrative purposes, and the order of layers within a neural network can be defined in different ways as described above. For example, a node's layer can also be defined by its distance from the final output node.

[0356] The initial input node can refer to one or more nodes within a neural network that can directly input data without requiring connections to other nodes. Alternatively, in a neural network, in terms of the relationships between nodes based on connections, it can refer to a node that is not connected to other input nodes via any links. Similarly, the final output node can refer to one or more nodes within a neural network that has no output node in relation to other nodes. Furthermore, a hidden node can refer to a node that constitutes the neural network but is neither the initial input node nor the final output node.

[0357] According to one embodiment of the present invention, a neural network may be a neural network in which the number of nodes in the input layer and the number of nodes in the output layer are the same, and the number of nodes decreases and then increases from the input layer to the hidden layer. Furthermore, according to another embodiment of the present disclosure, a neural network may be a neural network in which the number of nodes in the input layer is less than the number of nodes in the output layer, and the number of nodes decreases from the input layer to the hidden layer. Still another embodiment of the present disclosure, a neural network may be a neural network in which the number of nodes in the input layer is greater than the number of nodes in the output layer, and the number of nodes increases from the input layer to the hidden layer. A further embodiment of the present disclosure, a neural network may be a combination of the above-described neural networks.

[0358] A deep neural network (DNN) can refer to a neural network that includes multiple hidden layers in addition to the input and output layers. Deep neural networks can be used to identify the latent structures of data. That is, they can identify the latent structures of images, text, videos, audio, and music (e.g., what objects are in an image, the content and emotion of text, the content and emotion of audio, etc.). Deep neural networks can include convolutional neural networks (CNNs), recurrent neural networks (RNNs), autoencoders, generative adversarial networks (GANs), restricted Boltzmann machines (RBMs), deep belief networks (DBNs), Q-networks, U-networks, Siamese networks, and generative adversarial networks (GANs), etc. The above descriptions of deep neural networks are merely examples, and this disclosure is not limited thereto.

[0359] In one embodiment of the invention, the network function may further include an autoencoder. The autoencoder can be a type of artificial neural network used to output output data similar to the input data. The autoencoder may include at least one hidden layer, with an odd number of hidden layers configured between the input and output layers. The number of nodes in each layer can be reduced from the number of nodes in the input layer to an intermediate layer called the bottleneck layer (encoding layer), and then symmetrically extended from the bottleneck layer to the output layer (symmetrical with the input layer). The autoencoder can perform non-linear dimensionality reduction. The number of input and output layers can correspond to the dimensionality of the preprocessed input data. In the autoencoder structure, the number of nodes in the hidden layers included in the encoder can have a structure that decreases with distance from the input layer. When the number of nodes in the bottleneck layer (the layer with the fewest nodes between the encoder and decoder) is too small, it may not be able to convey enough information, and therefore can be kept above a certain number (e.g., more than half the number in the input layer, etc.).

[0360] Neural networks can learn through at least one of the following methods: supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning. Learning a neural network can be the process of applying the knowledge required for the network to perform specific actions to the network.

[0361] Neural networks learn in a direction that minimizes output error. The learning process involves repeatedly feeding learning data into the neural network, calculating the error between the network's output and the target value, and then backpropagating this error from the output layer to the input layer to reduce it, thereby updating the weights of each node in the neural network. In supervised learning, each learning data point is labeled with the correct answer (i.e., labeled learning data). In unsupervised learning, each learning data point may not be labeled with the correct answer. For example, in supervised learning for classification, the learning data can be data labeled with the category in each learning data point. The labeled learning data can be input into the neural network, and the error can be calculated by comparing the neural network's output (category) with the label of the learning data. As another example, in unsupervised learning for data classification, the error can be calculated by comparing the input learning data and the neural network's output. The calculated error can be backpropagated in the neural network (i.e., from the output layer to the input layer), updating the connection weights of each node in each layer of the neural network based on the backpropagation. The amount of change in the updated connection weights of each node can be determined based on the learning rate. The computation of input data by the neural network and the backpropagation of errors constitute a learning epoch. The learning rate can be varied depending on the number of repetitions of the neural network's learning epoch. For example, in the early stages of neural network learning, a high learning rate is used to quickly ensure a certain level of performance, thereby improving efficiency, while in the later stages of learning, a low learning rate can be used to improve accuracy.

[0362] In neural network learning, the training data is often a subset of the actual data (i.e., the data that the neural network is intended to process). Therefore, it's possible to encounter a learning cycle where the error on the training data decreases, but the error on the actual data increases. As mentioned above, overfitting is the phenomenon where learning from the training data leads to an increase in error on the actual data. For example, a neural network learning to recognize cats by showing them yellow cats might fail to identify non-yellow cats as cats, which is a form of overfitting. Overfitting can increase the error of machine learning algorithms. To prevent overfitting, various optimization methods can be used. These include increasing the amount of training data, using regularization, dropping out deactivated nodes during the learning process, and using batch normalization layers.

[0363] The description of the illustrated embodiments is provided to enable those skilled in the art to utilize or implement this disclosure. Various modifications of these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be applied to other embodiments without departing from the scope of this disclosure. This disclosure is not limited to the embodiments shown herein and should be interpreted within the broadest sense consistent with the principles and novel features shown herein.

[0364] Furthermore, the structure and function of the massage device described in this manual can be extended and applied to various (wearable) health care devices that provide health care functions (e.g., massage function, biosignal measurement function, etc.). Therefore, the term "massage device" in this manual can be replaced with "(wearable) health care device" for further explanation.

Claims

1. A massaging device, characterized by include: The massage unit is used to massage the user's body, and The control unit is used to control the massage unit to provide user-customized massage modes; The user-customized massage mode is determined based on state information, which is information about one or more of the user's innate state, current state, and future state.

2. The massage device according to claim 1, characterized in that, The status information is obtained based on the user's personal information. The user's personal information includes at least one of the following: date and time of birth, biological information, medical information, physical information, personality tendency information, and one or more of the following: Four Symbols Medical Information.

3. The massage device according to claim 1, characterized in that, The status information is the first piece of information about the user's innate state, obtained based on the user's personal information. The user's personal information includes at least one of the user's date and time of birth.

4. The massage device according to claim 3, characterized in that, The first information includes one or more of the following: information about a user's congenital disease, information about a user's likely congenital disease, and information about the congenital health status of each part of the user's body.

5. The massage device according to claim 3, characterized in that, The first information includes information about at least one body part, either congenitally strong or congenitally weak, obtained based on the correlation between the congenital state and the body part corresponding to the congenital state.

6. The massage device according to claim 1, characterized in that, The status information is a second piece of information about the user's current status, obtained based on the user's personal information. The user's personal information includes one or more of the following: biological information, medical information, physical information, personality tendency information, and four-element medical information.

7. The massage device according to claim 6, characterized in that, The second information includes one or more of the following: information about the user's current illness, information about the user's potential current illness, and information about the current health status of each part of the user's body.

8. The massage device according to claim 6, characterized in that, The second information includes information about at least one body part, either currently strong or currently weak, obtained based on the correlation between the current state and the body part corresponding to the current state.

9. The massage device according to claim 1, characterized in that, The status information is third-party information about the user's future status, obtained based on the user's personal information. The user's personal information includes one or more of the following: predictions of the user's future state, weather information based on the user's place of residence, and geographic information based on the user's place of residence.

10. The massage device according to claim 9, characterized in that, The third information includes one or more of the following: future diseases that the user will likely have in the future, future diseases that the user is likely to have in the future, and the future health status of each part of the user's body.

11. The massage device according to claim 9, characterized in that, The third information includes information about at least one body part that will become stronger and a body part that will become weaker, obtained based on the correlation between the future state and the body part corresponding to the future state.

12. The massage device according to any one of claims 3, 6 and 9, characterized in that, The status information is obtained by inputting the user's personal information into an artificial intelligence model that has pre-learned the correlation between the personal information of any object and the status information of any object.

13. The massage device according to any one of claims 5, 8, and 11, characterized in that, The user-customized massage mode is a mode in which at least one body part is set as the target massage part.

14. The massage device according to any one of claims 4, 7 and 10, characterized in that, The user-customized massage mode is a mode that massages target areas that have a positive impact on the user's condition.

15. The massage device according to claim 1, characterized in that, The target massage area and massage pattern of the user-customized massage mode are determined based on the status information.

16. The massage device according to claim 15, characterized in that, The massage pattern includes at least one of the following: massage ratio of the target area, massage type of each target area, ratio of massage types, massage sequence of the target area, massage intensity, massage speed, and audiovisual content.

17. The massage device according to claim 1, characterized in that, It also includes one or more of the following: a massage module that performs massage actions and an airbag. The moving speed of the massage module, the inflation speed of the airbag, and the moving speed of the massage device are determined based on the state information.

18. The massage device according to any one of claims 2, 3, 6 and 9, characterized in that, The personal information is obtained through the interface environment provided to the user via the massage device.

19. The massage device according to claim 1, characterized in that, The user-customized massage mode is generated based on the state information and is a massage mode customized for at least one of the innate state, the current state, and the future state.

20. The massage device according to claim 19, characterized in that, The target massage area and the massage pattern of the user-customized massage mode are determined and generated based on the status information.

21. A control method of a massage apparatus, characterized by, include: The pattern acquisition step involves acquiring a user-customized massage pattern determined based on state information. This state information includes one or more of the user's innate state, current state, and future state. The control steps control the massage unit to provide the user-customized massage mode.

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