Apparatus and method for inducing optimal sleep through brainwave-synchronizing stimulation and user biometric data collection during sleep

Abstract

An apparatus and method for inducing optimal sleep, according to an embodiment of the present disclosure, may comprise: a cover member configured to be extended over in the direction of a user's face; a hinge member connected to the cover member so as to move the cover member along an arc such that the cover member can be unfolded or folded to a desired angle; a support member connected to the hinge member to enable installing the cover member at a specific height; and a light source member mounted on the support member.

Description

Device and method for inducing optimal sleep through collection of user biometric data during sleep and brainwave synchronization stimulation

[0001] The technical idea of ​​the present disclosure relates to a device and method for inducing optimal sleep, and more particularly, to a method for inducing optimal sleep by collecting user biometric data during sleep and using auditory stimulation of brainwave synchronization, and a device including the same.

[0002] In general, sleep disorders are a common symptom among modern people due to various causes, disrupting their daily rhythm and causing significant disruption to their social lives. Insomnia is closely related to the social lives of modern people.

[0003] In particular, 62% of Koreans are experiencing sleep problems since COVID-19, Koreans sleep 0.2 hours less on weekdays than the global average, and the response rate of Koreans who feel they are getting enough sleep is the lowest among the surveyed countries.

[0004] 75.7% of office workers reported lack of sleep, with 93% getting less than the OECD average of eight hours. 52.8% of workers also reported experiencing work-related inconveniences due to sleep deprivation.

[0005] Since the COVID-19 pandemic, 39% of Koreans have experienced waking up during the night. Among the types of insomnia, "taking a long time to fall asleep" ranked first at 43.8%, followed by "sleeping but waking up frequently" at 31.5%. Fifty-one percent of Koreans use their cell phones right before bed, and a high percentage of Koreans resort to unhealthy methods like watching TV or drinking alcohol to improve their sleep.

[0006] To overcome sleep disorders, a blindfold that covers the subject's eyes can be used as a primary method, and recently, sleep-inducing devices that can stabilize the subject's brain waves in addition to simply covering the eyes have been proposed.

[0007] However, all of these devices attempted to stabilize brain waves only with sound or acoustics, and the effectiveness of these sleep-inducing devices was not as good as users desired.

[0008] Furthermore, brain waves generally refer to the electrical currents generated when nerve signals are transmitted. These brain waves increase during sleep (very slow delta waves), during activity (fast beta waves), and during meditation (meditation) with moderately fast alpha waves.

[0009] In particular, interest in the above alpha waves is increasing, because while beta waves mainly appear when the mind and body are tense, and theta and delta waves often appear when health is poor, the above alpha waves are known to be good brain waves that occur when the eyes are closed, the mind is relaxed, and there is relatively little mental activity, that is, when there are no distracting thoughts in the head.

[0010] Meanwhile, based on the "brainwave entrainment theory" discovered and announced by British scientist Gray Walter in the late 1940s that brain waves synchronize in response to flashing light and sound frequencies, various brainwave entrainment methods have been proposed to induce human brain waves to external stimuli and help with learning, sleep, and activity.

[0011] Prior art related to this includes Korean Patent Publication No. 10-1140507 (April 19, 2012).

[0012] The technical idea of ​​the present disclosure is to provide a device that induces optimal sleep by controlling brain waves through the frequency and composition of brainwave-entrained sound using a sleep-inducing device or other mobile device according to the user's sleep pattern.

[0013] An optimal sleep inducing device according to an embodiment of the present disclosure may include a cover member configured to be covered in the direction of a user's face, a hinge member connected to the cover member so as to be able to rotate the cover member to unfold or fold it at a desired angle, a support member connected to the hinge member so as to be able to install the cover member at a certain height, and a light source member mounted on the support member.

[0014] According to one embodiment, the support member may include a first support member that supports and fixes the cover member when the cover member is rotated in a first direction about the hinge member as an axis, and a second support member that supports and fixes the cover member when the cover member is rotated in a second direction opposite to the first direction.

[0015] According to one embodiment, the second direction may be characterized as being a direction toward the user's face.

[0016] According to one embodiment, the cover member may include a first engaging member protruding in the direction of the second supporting member, and the second supporting member may include a second engaging member protruding in the direction of the cover member corresponding to the first engaging member.

[0017] According to one embodiment, the light source member can control the amount of light and the light pattern output based on bio-signal data obtained from the user.

[0018] According to one embodiment, the device may further include a sound wave output member that reproduces sound based on biosignal data obtained from the user.

[0019] In order to solve the above-described problem according to the present disclosure, a device for inducing sleep satisfaction of a user according to embodiments (hereinafter referred to as 'device according to embodiments') may include a user information receiving unit for receiving sleep state information from a user; a sleep signal receiving unit for receiving a sleep signal of the user; a sleep pattern determining unit for generating sleep pattern information indicating a recommended sleep type according to an elapsed time after sleep based on the sleep state information; a sleep stimulus generating unit for analyzing the received sleep signal to confirm a current sleep type and generating a sleep stimulus based on the confirmed current sleep type and the generated sleep pattern information; and / or an output unit for outputting the generated sleep stimulus.

[0020] Meanwhile, the sleep stimulus generation unit according to the embodiments can generate the sleep stimulus in real time by comparing the confirmed current sleep type with the generated sleep pattern information.

[0021] In addition, the sleep stimulus generation unit according to the embodiments may generate a first sleep stimulus that induces the current sleep type to the recommended sleep type based on sleep pattern information when the current sleep type does not match the recommended sleep type.

[0022] Furthermore, the sleep stimulus generation unit according to the embodiments may generate a second sleep stimulus that maintains the current sleep type if the current sleep type matches the recommended sleep type based on the sleep pattern information.

[0023] Furthermore, sleep types according to embodiments may include an awake type, a REM sleep type indicating a REM (Rapid Eye Movement) sleep state, a first nREM (non-REM) sleep type, a second nREM (non-REM) sleep type, and a third nREM (non-REM) sleep type.

[0024] In addition, the sleep pattern determination unit according to the embodiments may predict the hourly order of recommended sleep types based on the user's sleep signal based on an optimal solution search algorithm or an artificial intelligence model that has learned learning data including at least one of the user's sleep signal information, sequence information including hourly sleep types, and the user's sleep satisfaction information. Here, the artificial intelligence model may include at least one of an LSTM or a GRU model.

[0025] Meanwhile, learning data according to embodiments may further include information related to the user's breathing, the user's heart rate information, or brain wave information.

[0026] Furthermore, the sleep stimulus generation unit according to the embodiments may add white noise to the generated sleep stimulus when the current user's sleep type is the second nREM sleep type.

[0027] Meanwhile, the sleep stimulus according to the embodiments is an auditory stimulus, and the sleep stimulus generation unit can determine the phase of the auditory stimulus based on the phase of the received user's sleep signal.

[0028] In addition, the sleep stimulus generation unit according to the embodiments can generate a left auditory stimulus that stimulates the left ear of the user and a right auditory stimulus that stimulates the right ear of the user, and the frequency of the left auditory stimulus and the frequency of the right auditory stimulus can differ by a preset amount.

[0029] Furthermore, the sleep stimulus generation unit according to the embodiments can mutually change the frequency of the left auditory stimulus and the frequency of the right auditory stimulus at a preset cycle.

[0030] A sleep inducing device according to an embodiment of the present disclosure is configured to be easily operated by a user, and can automatically obtain the user's biometric data by communicating with a user terminal and induce sleep by stabilizing brain waves according to a sleep pattern.

[0031] The effects that can be obtained from the exemplary embodiments of the present disclosure are not limited to the effects mentioned above, and other effects not mentioned can be clearly derived and understood by those skilled in the art to which the exemplary embodiments of the present disclosure pertain from the following description. In other words, unintended effects resulting from implementing the exemplary embodiments of the present disclosure can also be derived by those skilled in the art from the exemplary embodiments of the present disclosure.

[0032] By utilizing these configurations according to the embodiments, it is possible to induce healthy sleep in the user and contribute to recovery from fatigue and stability of life through sleep.

[0033] By utilizing these configurations according to the embodiments, it is possible to achieve mental or physical treatment of insomnia through healthy sleep, while also helping to induce healthy sleeping habits.

[0034] The device according to the embodiments analyzes the brain waves emitted by the user and outputs stimulation in sync with them, thereby finding an optimal sleep pattern for the user and inducing the best sleep.

[0035] FIGS. 1 to 3 are drawings illustrating a sleep inducing device according to an embodiment of the present disclosure.

[0036] FIG. 4 is a drawing illustrating a sleep induction system including a sleep induction device according to one embodiment.

[0037] Figure 5 is a block diagram illustrating components of a sleep induction device according to one embodiment.

[0038] FIG. 6 is a flowchart illustrating a method for inducing optimal sleep in a sleep induction system according to one embodiment.

[0039] Hereinafter, various embodiments of the present disclosure will be described in conjunction with the accompanying drawings. Various embodiments of the present disclosure may have various modifications and various embodiments, and thus specific embodiments are illustrated in the drawings and described in detail in connection therewith. However, this is not intended to limit the various embodiments of the present disclosure to specific embodiments, but should be understood to include all modifications and / or equivalents or alternatives falling within the spirit and technical scope of the various embodiments of the present disclosure. In connection with the description of the drawings, similar reference numerals have been used for similar components.

[0040] In various embodiments of the present disclosure, it should be understood that terms such as “include” or “have” are intended to specify the presence of a feature, number, step, operation, component, part, or combination thereof described in the specification, but do not preclude the possibility of the presence or addition of one or more other features, numbers, steps, operations, components, parts, or combinations thereof.

[0041] In various embodiments of the present disclosure, the expression "or" includes any and all combinations of the words listed together. For example, "A or B" may include A, may include B, or may include both A and B.

[0042] The expressions "first," "second," "first," or "second" used in various embodiments of the present disclosure may describe various components of the various embodiments, but do not limit those components. For example, the expressions do not limit the order and / or importance of the components, and may be used to distinguish one component from another.

[0043] When it is said that a component is "connected" or "connected" to another component, it should be understood that the component may be directly connected or connected to the other component, but that new components may also exist between the component and the other component.

[0044] In the embodiments of the present disclosure, terms such as "module," "unit," "part," etc. are terms used to refer to components that perform at least one function or operation, and such components may be implemented as hardware or software, or a combination of hardware and software. In addition, a plurality of "modules," "units," "parts," etc. may be integrated into at least one module or chip and implemented as at least one processor, except in cases where each needs to be implemented as a separate, specific hardware.

[0045] Terms defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant technology, and will not be interpreted in an idealized or overly formal sense unless explicitly defined in various embodiments of the present disclosure.

[0046] Hereinafter, embodiments of the present disclosure will be described in detail with reference to the attached drawings.

[0047] Figures 1 to 3 are drawings illustrating a sleep induction device (10) according to an embodiment of the present disclosure.

[0048] Referring to FIGS. 1 and 2, the sleep induction device (10) of the present disclosure may be installed on a mattress and used to acquire non-contact biometric data during sleep. That is, a cover member (110) may be provided to block external light when a user lies down on the bed to fall asleep, and a hinge member (130) may be included for rotation of the cover member (110) in a first direction or a second direction.

[0049] According to one embodiment, the cover member (110) may perform a rotational motion with the hinge member (130) as an axis. The rotational motion may be a rotation in a first direction or a second direction with the hinge member (130) as an axis by a user directly applying a physical force, but is not limited thereto, and may also be a rotation in a first direction or a second direction with the hinge member (130) as an axis by a motor device. In this case, the second direction may be the direction of the user's face, the first direction is the opposite direction to the second direction, and each of the first direction and the second direction may be either a clockwise direction or a counterclockwise direction with the hinge member (130) as an axis.

[0050] In addition, the sleep inducing device (10) may include a support member (120) so that the device can be well fixed to the mattress on the bed, and the support member (120) may be configured to have a wide lower portion so as to stably support the entire device. The support member (120) may be divided into a first support member (121) and a second support member (122), and although the first support member (121) and the second support member (122) are different parts, they may be configured as a single housing through assembly and fastening. For example, the first support member (121) may be referred to as an outer support member (120), and the second support member (122) may be referred to as an inner support member (120).

[0051] According to one embodiment, the first support member (121) may be the lower end of the support member (120), and the second support member (122) may be the upper end of the support member (120). The first support member (121) may be a member in which a step of a certain thickness is formed in an outward direction from the second support member (122). In this case, the cover member (110) may be a part having a thickness of the corresponding step, and when the cover member (110) is rotated in the first direction, it may be fixed by being caught by the first support member (121).

[0052] The cover member (110) may be connected to the second support member (122) via a hinge member (130). That is, the cover member (110) may be rotated on the second support member (122) with the hinge member (130) as an axis. In order for the cover member (110) to be smoothly rotated on the second support member (122), the cover member (110) and the second support member (122) may have the same curvature, and the shapes of the cover member (110) and the second support member (122) may be configured as concentric circles.

[0053] At this time, the cover member (110) may include a first engaging member protruding toward the second support member (122), and the second support member (122) may include a second engaging member protruding toward the cover member (110) corresponding to the first engaging member. That is, the first engaging member and the second engaging member may be arranged in a direction facing each other, and when the cover member (110) is rotated in the second direction around the hinge member (130), the first engaging member and the second engaging member may be interlocked and fixed to each other. However, the method of fixing the cover member (110) after it is rotated in the second direction according to the embodiment of the present disclosure is not limited thereto.

[0054] That is, a hinge member (130) is installed on the upper surface of the support member (120), and these hinge members (130) can be configured to unfold the cover member (110) in a desired direction, and according to one embodiment, can be configured to unfold at a desired angle.

[0055] Accordingly, the cover member (110) is stably fixedly mounted through the support member (120), so that the user can lie down without interference from the sleep inducing device (10), and while lying down, the cover member (110) rotates toward the user's face to block external light and reduce ambient noise, thereby creating a good sleeping environment.

[0056] According to one embodiment, a light source member (140) may be placed inside the second support member (122). The light source member (140) may be placed hidden in a certain space inside the second support member (122) and may provide light to the user in an indirect lighting manner through a light guide.

[0057] Additionally, a sensor module may be positioned inside the second support member (122). The sensor module may collect non-contact biometric data during sleep to adjust the optimal sleep stage. For example, the sensor module may include a light sensor and an acoustic sensor. The acoustic sensor may collect acoustic data input from the user, such as the user's breathing sound, heartbeat sound, and tossing and turning sound, and the collected data may be linked in real time to the user terminal, so that the user terminal can determine the sleep state.

[0058] According to one embodiment, the sensor module may not perform a sensing operation in a hibernation state when the cover member (110) is fixed to the first support member (121), but may wake up from the hibernation state and perform a sensing operation when the cover member (110) is rotated in the second direction and fixed on the second support member (122). For example, the first engaging member arranged on the cover member (110) and the second engaging member arranged on the second support member (122) may be configured as a pair of electromagnets, and the sensing operation may be resumed when the pair of electromagnets come into contact and current is conducted.

[0059] The sleep induction device (10) may further include a sound wave output member and may play a sound that induces an optimal sleep pattern based on the sleep state determined by the user terminal. In this case, the output sound may be an audible frequency sound wave signal, but is not limited thereto, and may also be an inaudible frequency sound wave signal that is not perceptible to the user.

[0060] In addition, the sleep inducing device (10) can output a light signal having a light quantity and light pattern that induces an optimal sleep pattern through the light source member (140). Accordingly, when the user falls asleep, the user's biological data is measured in real time through the sound sensor and the light sensor of the sensor module, the user's real-time sleep stage and optimal sleep pattern are analyzed through the user terminal, and a signal that induces an optimal sleep pattern is provided to the user through the sound wave output member and the light source member (140), thereby providing a practical improvement in the quality of sleep through circadian rhythm control.

[0061] FIG. 4 is a drawing illustrating a sleep induction system including a sleep induction device (10) according to one embodiment.

[0062] Referring to FIG. 4, the sleep induction system (1) of the present disclosure may include a sleep induction device (10), a user terminal (20), and a management server (30). The sleep induction system (1) may transmit non-contact biometric data of a user collected through the sleep induction device (10) to the user terminal (20), and the user terminal (20) may transmit a command to control a light source member (140) and / or a sound wave output member of the sleep induction device (10) by analyzing the non-contact biometric data.

[0063] The user terminal (20) can communicate with the management server (30) by wire or wireless connection, and can transmit the user's biometric data and the user's sleep state determined by the biometric data to the management server (30). The management server (30) can collect the user's sleep state for a certain period of time and evaluate the user's sleep quality based on the data.

[0064] The user terminal (20) may be referred to as a smart phone, a mobile device, a video display device, a measuring device, or an IoT (Internet of Things) device. The user terminal (20) is not limited thereto, and may include any type of electronic device that can be carried by the user and communicate with the sleep induction device (10). The user terminal (20) may download and install an application to communicate with the sleep induction device (10), and may also transmit information about the user to the sleep induction device (10) through the application.

[0065] Communication between the sleep induction device (10), the user terminal (20), and the management server (30) can be performed by wireless communication, and the wireless communication network can be at least one long-distance wireless communication method among WiFi, WiGig, Wibro (Wireless Broadband Internet, Wibro), WiMAX (World Interoperability for Microwave Access, Wimax), a legacy cellular network, a 5G network, a next-generation communication network, the Internet, or a computer network (e.g., LAN or WAN) for providing high-speed multimedia services, or at least one short-distance wireless communication method among Bluetooth, ZigBee, Beacon, RFID (Radio Frequency Identification), UWB (Ultra Wideband), or infrared communication.

[0066] Fig. 5 is a block diagram illustrating components of a sleep induction device (10) according to one embodiment.

[0067] Referring to FIG. 5, the sleep induction device (10) may include a processor (100), a RAM (Random Access memory) (200), a storage (300), and a communication unit (400).

[0068] The processor (100) can control the overall operation of the sleep induction device (10). The processor (100) may include a single processor core (Single Core) or a CPU (Central Processing Unit) including multiple processor cores (Multi-Core). The sleep induction device (10) may include one or more processors (100).

[0069] The processor (100) can process or execute programs, data, or instructions stored in the storage (300). For example, the processor (100) can control the output amount and output pattern of the light source member (140) or the sound wave output member by executing programs stored in the storage (300).

[0070] RAM (200) can temporarily store programs, data, or instructions. For example, programs and / or data stored in storage (300) can be temporarily stored in RAM (200) according to the control or booting code of the processor (100). For example, RAM (200) includes DRAM (Dynamic RAM), SRAM (Static RAM), SDRAM (Synchronous DRAM), etc.

[0071] Storage (300) is a storage location for storing data, and can store an operating system (OS), various programs, and various data. Storage (300) includes ROM (Read Only Memory), flash memory, PRAM (Phase-change RAM), MRAM (Magnetic RAM), RRAM (Resistive RAM), FRAM (Ferroelectric RAM), etc. In an embodiment, storage (300) can be implemented as a HDD (Hard Disk Drive), SSD (Solid State Drive), etc.

[0072] The communication unit (400) can transmit and / or receive data of the sleep induction device (10). For example, the communication unit (400) can transmit and receive data through various communication methods. For example, the communication unit (400) can perform communication through, for example, 3G, LTE, Wi-Fi, Bluetooth, BLE (Bluetooth Low Energy), Zigbee, NFC (Near Field Communication), ultrasonic communication, etc., and can include all of wired communication, wireless communication, short-range communication, and long-range communication.

[0073] Accordingly, the sleep induction device (10) of the present disclosure can perform operations by the above configurations, temporarily store data or commands, or transmit and / or receive data with other sleep induction devices (10).

[0074] The sleep induction device (10) may include various types of IP blocks, and for example, although not shown in FIG. 5, the sleep induction device (10) may further include other general-purpose components such as an input / output device and a neural network processor, a multi-format codec (MFC), a video module (e.g., a camera interface, a joint photographic experts group (JPEG) processor, a video processor, or a mixer), a 3D graphics core, an audio system, a display driver, a graphic processing unit (GPU), a digital signal processor (DSP), etc.

[0075] In an embodiment, at least some of the components of the sleep induction device (10) may be implemented as a single semiconductor chip, for example, the sleep induction device (10) may be implemented as a system on a chip (SoC). However, the present invention is not limited thereto, and the sleep induction device (10) may be implemented as a plurality of semiconductor chips. In one embodiment, the sleep induction device (10) may also be implemented as an application processor installed in a mobile device.

[0076] FIG. 6 is a flowchart illustrating a method for inducing optimal sleep in a sleep induction system according to one embodiment.

[0077] Referring to FIG. 6, the sleep induction system can control the output of the light source member (140) and / or the sound wave output member by obtaining biometric data from a sleeping user.

[0078] In step (S110), the sleep induction device (10) can acquire the user's biometric data. At this time, a sensor module can be placed inside the second support member (122) of the sleep induction device (10), and the sensor module can collect non-contact biometric data during sleep to adjust the optimal sleep stage. For example, the sensor module can include a light sensor and an acoustic sensor. The acoustic sensor can collect acoustic data input from the user, such as the user's breathing sound, heartbeat sound, and tossing and turning sound.

[0079] In step (S120), the sleep induction device (10) can measure the user's sleep state and analyze sleep patterns in conjunction with the user terminal. For example, the sleep induction device (10) can provide biometric data to the user terminal, and the user terminal can analyze the user's sleep state and sleep patterns based on the acquired biometric data.

[0080] For example, the sleep induction device (10) can classify breathing sounds, heartbeat sounds, and tossing and turning sounds from acoustic data collected from an acoustic sensor, and determine whether the user is in a state of deep sleep based on the classified sounds. In this case, breathing sounds, heartbeat sounds, and tossing and turning sounds are distinct frequency bands, and each sound can be classified into a pre-designated frequency band.

[0081] In step (S130), the user terminal can transmit a command for optimal sleep induction to the sleep induction device (10). At this time, the command may be a command for controlling the sound wave output member and the light source member (140).

[0082] In step (S140), the sleep induction device (10) can adjust the light quantity and / or light pattern of the light source member (140) based on the command. At this time, the sleep induction device (10) can adjust the size and / or frequency of the sound wave signal of the sound wave output member in addition to the light source member (140).

[0083] According to one embodiment, the sound wave output member and light source member (140) may not perform signal output even if a command is received when the cover member (110) is fixed to the first support member (121), but may receive a command and perform signal output when the cover member (110) is rotated in the second direction and fixed on the second support member (122). For example, the first engaging member arranged on the cover member (110) and the second engaging member arranged on the second support member (122) may be configured as a pair of electromagnets, and when the pair of electromagnets come into contact and current is conducted, the signal output operation may be resumed.

[0084] Accordingly, the sleep induction device (10) can selectively take a signal output mode depending on the position of the cover member (110), and can efficiently use power by not outputting a signal when it is determined that the user is not in a sleeping state.

[0085]

[0086] Fig. 7 shows an example of the configuration of a device for inducing sleep satisfaction of a user according to embodiments (hereinafter referred to as “device according to embodiments”).

[0087] The sleep induction device (10) according to the embodiments induces an optimal sleep pattern by using brainwave stimulation to maintain an optimal sleep cycle for the user. For example, the sleep induction device (10) according to the embodiments checks the user's sleep pattern, receives sleep-related signals such as the user's brainwaves and breathing information, and provides appropriate brainwave stimulation suitable for each stage. With this configuration, the sleep induction device (10) according to the embodiments can induce healthy sleep.

[0088] To achieve this purpose, the sleep induction device (10) according to the embodiments may include at least one of a user information receiving unit (11), a sleep signal receiving unit (12), a sleep pattern generating unit (13), a sleep stimulus generating unit (14), and an output unit (15).

[0089] The user information receiving unit (11) receives user information via an input interface. The user information may include, for example, at least one of the user's sleep time, the user's sleep time, the user's desired wake-up time, the user's desired sleep type (e.g., whether the user wants to nap or sleep deeply), gender, and age. Furthermore, the user information may further include a score or comment indicating the user's level of satisfaction with sleep after waking up. The sleep induction device (10) according to embodiments may include an input interface for receiving the aforementioned user information.

[0090] The sleep signal receiver (12) detects and receives bio-signals about the user while the user is sleeping or awake. For example, if the user is sleeping, the sleep signal receiver (12) can detect and receive information about the user's brain waves, information related to the user's breathing, information about the user's heart rate, etc.

[0091] The sleep signal receiving unit (12) can detect or receive brain waves received through, for example, electroencephalography (EEG). The sleep signal receiving unit (12) can include, for example, a wearable device or a smart device sensor while lying down during sleep, and can confirm and receive in real time brain waves, heart rate, respiration information, etc. that can be measured from these.

[0092] The sleep pattern generation unit (13) can determine the optimal sleep pattern recommended to the user in advance or in real time. The sleep pattern generation unit (13) analyzes the user's sleep signal received by the sleep signal reception unit (12), detects the user's sleep type based on the optimal sleep pattern, and controls the sleep stimulus generation unit (14) so ​​that the user can maintain the optimal sleep pattern while sleeping.

[0093] For example, the sleep pattern generation unit (13) analyzes the sleep signal in 30-second units to analyze the current user's sleep type. The sleep type may include, for example, an awake type in which the user's body is in a sleeping state but the brain is awake, a REM sleep type indicating a REM (Rapid Eye Movement) sleep state, an nREM (non-REM) sleep type corresponding to Stage 1, an nREM (non-REM) sleep type corresponding to Stage 2, and an nREM (non-REM) sleep type corresponding to Stage 3.

[0094] Thereafter, the sleep pattern generation unit (13) can determine the order of the optimal sleep types recommended for the user's remaining sleep time based on the current user's sleep type, information input by the user, etc. The sleep pattern generation unit (13) can analyze in real time which type of sleep will increase the user's satisfaction during the user's remaining sleep time, and predict the order of the sleep types derived as a result. For example, when the user inputs the expected sleep time, the sleep pattern generation unit (13) can predict the optimal sleep pattern for the remaining sleep time by deducting the amount of sleep measured previously.

[0095] Meanwhile, the sleep induction device (10) according to the embodiments may allow the user to directly input or edit the order or ratio of each sleep type desired by the user, or may create a sleep pattern according to the optimal sleep pattern desired by the user by manipulating the ratio of preset optimal sleep types.

[0096] The sleep stimulus generation unit (14) generates an appropriate sleep stimulus to be provided to the user based on the sleep pattern determined by the sleep pattern generation unit (13), i.e., the type of sleep and its order according to the flow of time.

[0097] The sleep stimulus generation unit (14) can select one or more of a plurality of preset sleep stimuli. The plurality of preset sleep stimuli may include, for example, sleep stimuli that maintain a sleep type for each sleep type. For example, the plurality of preset sleep stimuli may include a first stimulus that maintains an awake sleep type, a second stimulus that maintains a REM sleep state, a third stimulus that maintains nREM (non-REM) sleep corresponding to Stage 1, a fourth stimulus that maintains nREM (non-REM) sleep corresponding to Stage 2, and a fifth stimulus that maintains nREM (non-REM) sleep corresponding to Stage 3. In addition, the plurality of preset sleep stimuli may include sleep stimuli that induce a transition from the first sleep type to the second sleep type. For example, the plurality of preset sleep stimuli may include a sixth stimulus that induces a transition of a sleep type from an awake sleep type to a REM sleep state.

[0098] The sleep stimulus generation unit (14) may modify or add special effects to the multiple sleep stimuli defined above. For example, the sleep stimulus generation unit (14) may periodically add special stimuli to increase the frequency of sleep spindles detected in the user's brain waves. The sleep stimulus generation unit (14) may increase or decrease the frequency of adding special stimuli so that sleep spindles appear at a certain rate or higher in the user's sleep signal. The special stimuli may mean, for example, white noise.

[0099] In addition, the sleep stimulus generation unit (14) can also determine the cycle for adding the aforementioned white noise to the generated sleep stimulus. The sleep stimulus generation unit (14) can check the frequency (e.g., cycle, etc.) of sleep spindles detected in the user's sleep signal, and can adjust the number of white noises added so that it is inversely proportional to the frequency of sleep spindles.

[0100] Meanwhile, the sleep stimulus generation unit (14) can generate a frequency that appears in the sleep type according to the user's sleep type and output it to the user, and for example, can output it in the form of sound by adjusting the frequency high or low according to the sleep type.

[0101] The output unit (15) outputs a physical stimulus based on the sleep stimulus data generated by the sleep stimulus generation unit (14). For example, the output unit (15) can output a brainwave synchronization sound based on the auditory stimulus data generated by the sleep stimulus generation unit (14).

[0102] Here, the output unit (15) can be controlled to output different stimuli to multiple output modules to maximize the user's sleep satisfaction. For example, the output unit (15) may include two speakers, each capable of delivering auditory stimuli to the left ear or the right ear. The output unit (15) may also output different auditory stimuli to each speaker.

[0103] Meanwhile, the sleep stimulus generation unit (14) according to the embodiments can generate a monaural beat stimulus, which is an auditory stimulus considering one output module, that is, a sleep stimulus in which the output unit (15) is designed to output only one sound. Here, the monaural beat stimulus may refer to a sound having a frequency of, for example, 0.5 Hz to 2 Hz. The monaural beat stimulus is a stimulus designed to be transmitted to both the left and right ears of the user. Meanwhile, the sleep stimulus generation unit (14) can generate a binary beat stimulus, which is an auditory stimulus considering two output modules, that is, a sleep stimulus in which the output unit (15) is designed to output two sounds to different speakers. The binary beat stimulus refers to, for example, two auditory stimuli with a frequency difference of 0.5 Hz to 2 Hz for the left and right ears.

[0104] Meanwhile, the sleep stimulus generation unit (14) according to the embodiments may generate a binary bit stimulus so that the frequency of the sound heard by the left ear and the right ear alternately differs by 0.5 Hz to 2 Hz when generating the binary bit stimulus. For example, the sleep stimulus generation unit (14) according to the embodiments may generate a binary bit stimulus such that the right ear is 0.5 Hz louder than the left ear for 1 second, the frequency of the left ear is increased for 2 seconds thereafter, and the frequency of the right ear is decreased for 1 second thereafter.

[0105] By generating these binary bit stimuli, we can provide auditory stimuli that induce optimal sleep patterns in users and help improve the quality of their sleep.

[0106] By utilizing these configurations according to the embodiments, it is possible to induce healthy sleep in the user and contribute to recovery from fatigue and stability of life through sleep.

[0107] By utilizing these configurations according to the embodiments, it is possible to achieve mental or physical treatment of insomnia through healthy sleep, while also helping to induce healthy sleeping habits.

[0108] The device according to the embodiments analyzes the brain waves emitted by the user and outputs stimulation in sync with them, thereby finding an optimal sleep pattern for the user and inducing the best sleep.

[0109] Figure 8 is a flowchart illustrating an example of a method for inducing user sleep satisfaction according to embodiments.

[0110] The device according to the embodiments can perform the method for inducing user's sleep satisfaction as shown in FIG. 8. The method for inducing user's sleep satisfaction can include steps 201 to 206 of FIG. 2.

[0111] Referring to step 201, a device according to embodiments may receive sleep status information from a user. The sleep status information may refer to the amount of time the user is expected to sleep (e.g., 2 hours for a nap, 8 hours for a night's sleep, etc.). In addition to sleep status information, the device according to embodiments may also receive personal information or preference information from the user. The device according to embodiments may provide a user interface (UI) that can communicate with the user to receive such information. In addition, the device according to embodiments may collect the above-described information from various sensors or user-friendly devices (e.g., wearable devices, smartphones, etc.).

[0112] Referring to step 202, the device according to the embodiments may generate sleep pattern information indicating a recommended sleep type based on sleep state information and the elapsed time since sleep. The device according to the embodiments may select or recommend sleep pattern information suitable for the user based on various information input by the user. For example, if the user requests mental / physical recovery through deep sleep, an overall sleep pattern that can induce deep sleep may be determined. Also, if the user requests light sleep that allows for quick response to surrounding circumstances, an overall sleep pattern that can induce rapid awakening by surrounding stimuli may be determined. Such sleep patterns may be preset.

[0113] In addition, the device according to the embodiments may set a transition matrix or a transition directed graph representing the probability of transition or induction between sleep types, either by the user's selection or automatically. The transition matrix may refer to matrix information for determining how long the device according to the embodiments will maintain or change which sleep type when the user is in a sleeping state. The transition matrix refers to matrix information that sets the probability or frequency of transitioning between sleep types from rows to columns. In addition, the transition directed graph refers to a data structure representing a score that is added or subtracted when transitioning from a first node, which is a first sleep type, to a second node, which is a second sleep type.

[0114] The device according to the embodiments can generate an optimal sleep pattern for a user using a pre-specified transition matrix or transition direction graph. The pre-specified transition matrix or transition direction graph for the optimal sleep pattern is described in detail in FIG. 3.

[0115] Meanwhile, the device according to the embodiments can recommend an overall sleep pattern and sleep time based not only on information input by the user but also on the user's usual biometric information received from various devices. For example, the device according to the embodiments can collect the above-described information from one or more devices that collect the user's daily calorie consumption information, daily average heart rate information, brain wave information, amount or time of exercise, etc. in real time. Thereafter, the device according to the embodiments can recommend a sleep time and sleep pattern based on this information. If the user engaged in vigorous exercise or had a busy day, this can be quantified and a sleep pattern that can induce deep sleep can be recommended.

[0116] Meanwhile, the device according to the embodiments can induce sleep according to the sleep pattern generated in step 202 when the user is in a sleeping state. However, when the user is in a sleeping state, the optimal sleep pattern may change in real time depending on the user's physical condition or external environment. Accordingly, the device according to the embodiments can predict the user's optimal sleep pattern in real time and, based on this, modify or maintain the brainwave entrainment stimulation in real time and output it.

[0117] To this end, referring to step 203, the device according to the embodiments can receive the user's sleep signal after the user falls asleep. The device according to the embodiments can receive the user's brain waves, breathing sounds, heart rate, etc. In the case of brain waves among the sleep signals, brain waves can be received, for example, using the EEG method.

[0118] Referring to step 204, the device according to the embodiments can analyze the received sleep signal to determine the current sleep type.

[0119] The device according to the embodiments can extract various detailed signals contained in brain waves. For example, the device according to the embodiments can capture sleep spindles, slow waves of deep sleep, and special alpha rhythms contained in brain waves. In addition, the device according to the embodiments can also detect abnormal brain wave types such as regional epileptiform discharges, generalized epileptiform discharges, and generalized slow waves.

[0120] The device according to the embodiments can analyze brainwave waveforms and detailed signals contained in brainwaves in real time. The device according to the embodiments can determine the user's current sleep type based on the user's past sleep process, current sleep waveform, etc. The device according to the embodiments can determine and record the user's sleep type at each specific cycle. For example, the device according to the embodiments can determine and record the sleep type every 10 seconds.

[0121] Meanwhile, the device according to the embodiments may use the sequence of sleep types recorded in the above-described manner, the current sleep type, and various bio-signals received in real time to recommend or modify recommended sleep patterns for the user. For example, if bio-signals captured during the user's sleep stages determine that Pattern B is more recommended than the initially set Pattern A, the sleep pattern may be modified to Pattern B.

[0122] Additionally, the device according to the embodiments can directly predict the sequence of sleep types for a specific time in the future in real time using the sequence of sleep types recorded in the above-described manner, the current sleep type, and various bio-signals received in real time. To perform this function, the device according to the embodiments can utilize an artificial intelligence model that has learned the user's sleep satisfaction based on their sleep patterns. A detailed description of this artificial intelligence model is provided in FIG. 10.

[0123] Referring to step 205, the device according to the embodiments may generate a sleep stimulus based on sleep pattern information. The device according to the embodiments may generate a sleep stimulus based on the sleep patterns analyzed and maintained or changed in step 204, i.e., the order of sleep types recommended in the future.

[0124] Referring to step 206, the device according to the embodiments can output the generated sleep stimulus.

[0125] By utilizing these configurations according to the embodiments, it is possible to induce healthy sleep in the user, and to contribute to recovery from fatigue and stability of life through sleep.

[0126] By utilizing these configurations according to the embodiments, it is possible to achieve mental or physical treatment of insomnia through healthy sleep, while also helping to induce healthy sleeping habits.

[0127] The device according to the embodiments analyzes the brain waves emitted by the user and outputs stimulation in sync with them, thereby finding an optimal sleep pattern for the user and inducing the best sleep.

[0128] Figure 9 is a diagram showing a transition matrix used to induce a user's sleep satisfaction.

[0129] The transition matrix of FIG. 9 represents matrix information for determining which sleep type and for how long the device according to embodiments will maintain or change when the user is in a sleeping state. The transition matrix may be modified as the user's sleep data accumulates, but may also have a fixed value. Referring to FIG. 9, W on the row and column axes represents an awake sleep type (or wake-up type), R represents a REM sleep type, and N1 to N3 represent non-REM sleep types (N1: Stage 1 non-REM, N2: Stage 2 non-REM, N3: Stage 3 non-REM).

[0130] For example, row 1, column 1 (row W, column W) represents the probability of maintaining the awake sleep type when moving from one time interval to the next. row 1, column 2 (row W, column N1) represents the probability of transitioning from the awake sleep type to the Stage 1 non-REM sleep type when moving from one time interval to the next.

[0131] Unlike Fig. 9, the specific values ​​that can be included in each item of the transition matrix are configured to ensure optimal sleep for the user, and these can be used as initial values ​​to recommend sleep patterns to the user or to recommend sleep types in real time.

[0132] By utilizing these configurations according to the embodiments, it is possible to induce healthy sleep in the user, and to contribute to recovery from fatigue and stability of life through sleep.

[0133] By utilizing these configurations according to the embodiments, it is possible to achieve mental or physical treatment of insomnia through healthy sleep, while also helping to induce healthy sleeping habits.

[0134] The device according to the embodiments analyzes the brain waves emitted by the user and outputs stimulation in sync with them, thereby finding an optimal sleep pattern for the user and inducing the best sleep.

[0135] Figure 10 is a diagram showing a specific example of the structure of an artificial intelligence model for generating sleep stimuli and a method for generating sleep stimuli.

[0136] Figure 10(a) illustrates the structure of an optimal solution search algorithm or artificial intelligence model for modifying or creating a new optimal sleep pattern for the user during sleep, prior to generating sleep stimuli. The aforementioned optimal solution search algorithm or artificial intelligence model predicts the sequence of future sleep patterns using time-series data, such as biosignals emitted by the user during sleep.

[0137] Referring to (a) of FIG. 10, a device according to embodiments may preprocess brainwave data collected using an EEG method. Thereafter, the device may perform an automatic sleep staging step, which divides the preprocessed brainwave data into specific time intervals and determines a sleep type corresponding to each time interval. The time interval may be, for example, 30 seconds. Thereafter, the device according to embodiments may utilize an optimal solution search algorithm or an artificial intelligence model to recommend sleep types and their order for sleep periods following the current time.

[0138] The optimal solution search algorithm or artificial intelligence model may include a neural network model trained using training data including at least one of the user's sleep signal information, sequence information including the user's sleep type by time (e.g., information recording the order of the user's sleep type by time), and the user's sleep satisfaction information.

[0139] An optimal solution search algorithm or AI model may include a neural network model for learning time-series data, such as a user's sleep patterns over time. For example, the AI ​​model may include Long Short-Term Memory (LSTM), a reinforcement learning model, a Gated Recurrent Unit (GRU), or an ARIMA model, all of which are suitable for learning the aforementioned time-series data. The AI ​​model may also include a neural network model combining LSTM and GRU.

[0140] Figure 10 (b) illustrates a method for effectively synchronizing with a user's brain waves by optimizing the phase of a sound waveform when a device according to embodiments generates and outputs a sleep stimulus as an auditory stimulus.

[0141] Referring to (b) of FIG. 10, the device according to the embodiments may utilize an optimal solution search algorithm or an artificial intelligence model to recommend sleep types and their order for sleep periods following the current time. Thereafter, the device according to the embodiments may generate sleep stimuli to be provided to the user in the future. The sleep stimuli may include auditory stimuli synchronized with the user's brain waves, wherein the user's brain waves and the output auditory stimuli may be phase-aligned.

[0142] Accordingly, the device according to the embodiments can utilize a phase-locked loop that aligns the phase of the auditory stimulus to the phase of the brain waves based on the phase of the brain waves. This can be used to effectively control the maintenance and change of the user's sleep type by controlling the timing of the auditory sleep stimulus and the phase of the stimulus being played.

[0143] By utilizing these configurations according to the embodiments, it is possible to induce healthy sleep in the user, and to contribute to recovery from fatigue and stability of life through sleep.

[0144] By utilizing these configurations according to the embodiments, it is possible to achieve mental or physical treatment of insomnia through healthy sleep, while also helping to induce healthy sleeping habits.

[0145] The device according to the embodiments analyzes the brain waves emitted by the user and outputs stimulation in sync with them, thereby finding an optimal sleep pattern for the user and inducing the best sleep.

[0146] Fig. 11 is an example of a hardware configuration diagram of a device that performs a method for inducing user sleep satisfaction according to embodiments.

[0147] A device (500) according to embodiments may include at least one of a processor (510), a memory (520), a transmitting / receiving device (or transceiver, 530), an input interface device (540), an output interface device (550), a storage device (560), and / or a bus (570).

[0148] A device (500) according to embodiments may include, for example, at least one processor (processor, 510); and a memory (memory, 520) that stores instructions that direct the at least one processor to perform at least one step.

[0149] Here, at least one step may include: receiving sleep state information from a user; generating sleep pattern information indicating a recommended sleep type based on the sleep state information, based on the sleep state information; receiving a sleep signal of the user after the user sleeps; analyzing the received sleep signal to confirm a current sleep type; generating a sleep stimulus based on the confirmed current sleep type and the generated sleep pattern information; and / or outputting the generated sleep stimulus.

[0150] Meanwhile, the device according to the embodiments can generate the sleep stimulus in real time by comparing the confirmed current sleep type with the generated sleep pattern information in the step of generating the sleep stimulus.

[0151] In addition, the device according to the embodiments may, in the step of generating a sleep stimulus, generate a first sleep stimulus that induces the current sleep type to the recommended sleep type based on sleep pattern information when the current sleep type does not correspond to the recommended sleep type.

[0152] Furthermore, the device according to the embodiments may, in the step of generating a sleep stimulus, generate a second sleep stimulus that maintains the current sleep type based on the sleep pattern information if the current sleep type matches a recommended sleep type.

[0153] Furthermore, sleep types according to embodiments may include an awake type, a REM sleep type indicating a REM (Rapid Eye Movement) sleep state, a first nREM (non-REM) sleep type, a second nREM (non-REM) sleep type, and a third nREM (non-REM) sleep type.

[0154] In addition, the electronic device according to the embodiments may, in the step of generating sleep pattern information, predict the hourly order of recommended sleep types based on the user's sleep signal based on an optimal solution search algorithm or an artificial intelligence model that has learned learning data including at least one of the user's sleep signal information, sequence information including hourly sleep types, and the user's sleep satisfaction information. Here, the artificial intelligence model may include at least one of an LSTM or a reinforcement learning model.

[0155] Meanwhile, learning data according to embodiments may further include information related to the user's breathing, the user's heart rate information, or brain wave information.

[0156] Furthermore, the device according to the embodiments may add white noise to the generated sleep stimulus when the current user's sleep type is the second nREM sleep type in the step of generating the sleep stimulus.

[0157] Meanwhile, the sleep stimulus according to the embodiments is an auditory stimulus, and the sleep stimulus generation unit can determine the phase of the auditory stimulus based on the phase of the received user's sleep signal.

[0158] In addition, the device according to the embodiments may generate a left auditory stimulus that stimulates the left ear of the user and a right auditory stimulus that stimulates the right ear of the user in the step of generating a sleep stimulus, and the frequency of the left auditory stimulus and the frequency of the right auditory stimulus may differ by a preset amount.

[0159] Furthermore, the device according to the embodiments can mutually change the frequency of the left auditory stimulus and the frequency of the right auditory stimulus at a preset cycle in the step of generating a sleep stimulus.

[0160] By utilizing these configurations according to the embodiments, it is possible to induce healthy sleep in the user, and to contribute to recovery from fatigue and stability of life through sleep.

[0161] By utilizing these configurations according to the embodiments, it is possible to achieve mental or physical treatment of insomnia through healthy sleep, while also helping to induce healthy sleeping habits.

[0162] The device according to the embodiments analyzes the brain waves emitted by the user and outputs stimulation in sync with them, thereby finding an optimal sleep pattern for the user and inducing the best sleep.

[0163] The methods according to the present invention may be implemented in the form of program instructions that can be executed by various computer means and recorded on a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, etc., either singly or in combination. The program instructions recorded on the computer-readable medium may be those specifically designed and constructed for the present invention, or may be known and available to those skilled in the art of computer software.

[0164] Meanwhile, the methods according to the various embodiments of the present invention described above can be implemented in the form of an application or software program that can be installed on an existing electronic device.

[0165] Additionally, the method, in whole or in part, may be implemented in an operating system (OS) by being comprised of multiple software function modules. Alternatively, each step may be comprised of a single software function module, or each step may be combined into a single software function module and implemented in the OS. Accordingly, even if some embodiments of the present disclosure are not implemented entirely as a single software function module, if multiple software function modules implement each step of the present disclosure and the multiple software function modules are implemented in a single operating system, the method of the present disclosure may be understood to be implemented.

[0166] Furthermore, the methods according to the various embodiments of the present invention described above can be implemented solely through software or hardware upgrades for existing electronic devices. Furthermore, the various embodiments of the present invention described above can also be performed via an embedded server included in the electronic device or an external server of the electronic device.

[0167] Meanwhile, according to one embodiment of the present invention, the various embodiments described above may be implemented as software including instructions stored on a computer-readable recording medium that can be read by a computer or similar device using software, hardware, or a combination thereof. In some cases, the embodiments described herein may be implemented by the processor itself. In a software implementation, embodiments such as the procedures and functions described herein may be implemented as separate software modules. Each of the software modules may perform one or more functions and operations described herein.

[0168] Meanwhile, a computer or similar device may include a device according to the disclosed embodiments, which is a device capable of recalling instructions stored in a storage medium and operating according to the recalled instructions. When the instructions are executed by a processor, the processor may directly, or under the control of the processor, perform a function corresponding to the instructions using other components. The instructions may include code generated or executed by a compiler or interpreter.

[0169] A recording medium that can be read by a machine can be provided in the form of a non-transitory computer-readable recording medium. Here, 'non-transitory' means that the storage medium does not contain a signal and is tangible, but does not distinguish between whether data is stored semi-permanently or temporarily on the storage medium. In this case, a non-transitory computer-readable medium means a medium that semi-permanently stores data and can be read by a machine, rather than a medium that stores data for a short period of time, such as a register, cache, or memory. Specific examples of non-transitory computer-readable media may include CDs, DVDs, hard disks, Blu-ray discs, USBs, memory cards, and ROMs.

[0170] As described above, exemplary embodiments have been disclosed in the drawings and specification. While specific terminology has been used to describe embodiments herein, it is intended solely to illustrate the technical concept of the present disclosure and is not intended to limit the scope of the present disclosure as defined in the claims. Therefore, those skilled in the art will understand that various modifications and equivalent embodiments are possible. Therefore, the true technical protection scope of the present disclosure should be defined by the technical concept of the appended claims.

Claims

1. A cover member configured to cover in the direction of the user's face; A hinge member connected to the cover member so that the cover member can be rotated to unfold or fold at a desired angle; A support member connected to the hinge member and provided so that the cover member can be installed at a certain height; and A light source member mounted on the above support member An optimal sleep inducing device comprising:

2. In paragraph 1, The above support absence is, A first support member that supports and fixes the cover member when the cover member is rotated in the first direction about the hinge member as an axis; and A second support member that supports and fixes the cover member when the cover member is rotated in a second direction opposite to the first direction. An optimal sleep induction device comprising:

3. In paragraph 2, An optimal sleep inducing device, characterized in that the second direction is the direction of the user's face.

4. In paragraph 2, The above cover member includes a first catch member protruding in the direction of the second support member, An optimal sleep inducing device, characterized in that the second supporting member includes a second engaging member that protrudes in the direction of the cover member corresponding to the first engaging member.

5. In paragraph 1, The above light source member is, An optimal sleep induction device characterized in that the amount of light and light pattern output are controlled based on bio-signal data acquired from the user.

6. In paragraph 1, A sound wave output device that reproduces sound based on bio-signal data acquired from the user An optimal sleep induction device characterized by further comprising:

7. In a device that induces user’s sleep satisfaction, A user information receiving unit that receives sleep status information from a user; A sleep signal receiving unit for receiving a sleep signal of the user; A sleep pattern determination unit that generates sleep pattern information indicating a recommended sleep type based on the above sleep state information and the elapsed time after sleep; A sleep stimulus generation unit that analyzes the received sleep signal to confirm the current sleep type and generates a sleep stimulus based on the confirmed current sleep type and the generated sleep pattern information; and An output unit for outputting the generated sleep stimulus; including; A device that induces user's sleep satisfaction.

8. In paragraph 7, The above sleep stimulus generation unit generates the sleep stimulus in real time by comparing the confirmed current sleep type with the generated sleep pattern information. A device that induces user's sleep satisfaction.

9. In paragraph 8, the sleep stimulus generating unit, Based on the above sleep pattern information, if the current sleep type does not match the recommended sleep type, a first sleep stimulus is generated to induce the current sleep type to the recommended sleep type. A device that induces user's sleep satisfaction.

10. In paragraph 8, the sleep stimulus generating unit, Based on the above sleep pattern information, if the current sleep type matches the recommended sleep type, a second sleep stimulus is generated to maintain the current sleep type. A device that induces user's sleep satisfaction.

11. In paragraph 8, The above sleep types include an awake type, a REM sleep type indicating a REM (Rapid Eye Movement) sleep state, a first nREM (non-REM) sleep type, a second nREM (non-REM) sleep type, and a third nREM (non-REM) sleep type. A device that induces user's sleep satisfaction.

12. In paragraph 9, the sleep pattern determination unit Based on an optimal solution search algorithm or an artificial intelligence model that has learned learning data including at least one of the user's sleep signal information, sequence information including sleep types by time, and sleep satisfaction information of the user, a time-based order of recommended sleep types is predicted based on the user's sleep signal, The above artificial intelligence model comprises at least one of an LSTM or reinforcement learning model. A device that induces user's sleep satisfaction.

13. In paragraph 12, The above learning data further includes information related to the user's breathing, the user's heart rate information, or the user's brain wave information. A device that induces user's sleep satisfaction.

14. In paragraph 11, the sleep stimulus generating unit If the current user's sleep type is the second nREM sleep type, white noise is added to the generated sleep stimulus. A device that induces user's sleep satisfaction.

15. In paragraph 7, The above sleep stimulus is an auditory stimulus, The above sleep stimulus generation unit determines the phase of the auditory stimulus based on the phase of the received user's sleep signal. A device that induces user's sleep satisfaction.

16. In paragraph 7, the sleep stimulus generating unit Generating a frequency that appears in the sleep pattern, or generating a left auditory stimulus that stimulates the left ear of said user and a right auditory stimulus that stimulates the right ear of said user, The frequency of the above left auditory stimulus and the frequency of the above right auditory stimulus differ by a preset amount. A device that induces user's sleep satisfaction.

17. In paragraph 16, the sleep stimulus generating unit The frequency of the left auditory stimulus and the frequency of the right auditory stimulus are mutually changed at a preset cycle. A device that induces user's sleep satisfaction.

18. Step of receiving sleep status information from the user; A step of generating sleep pattern information indicating a recommended sleep type based on the above sleep state information and the elapsed time since sleep; A step of receiving a sleep signal of the user after the user falls asleep; A step of analyzing the received sleep signal to determine the current sleep type; A step of generating a sleep stimulus based on the confirmed current sleep type and the generated sleep pattern information; and A step of outputting the generated sleep stimulus; comprising; How to induce user's sleep satisfaction.

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