KR20200031483A - Schedule Recommendation System and Device Using Sleep Assist Device - Google Patents

Abstract

The present invention relates to a scheduling recommendation system and device using a sleep assistance apparatus, and more specifically, to a scheduling recommendation device and method which make the fittest sleep waveforms for a next day schedule based on a previous day event of a user to make a user sleep deeply. The recommendation system fixes a sleep balance of the user and at the same time recommends various factors necessary for a next day schedule. The present invention induces a sleep optimization by using various sleep assistance apparatuses, and recommends a sleep scheduling and life scheduling as various types according to a user desirable life. The present invention uses, as a recommendation system, a pattern image search using deep learning and machine learning, natural language processing and image generating systems, an online recommendation system, a pseudo pattern model optimized by using GNA, an augmented reality system, an online contract system, and a computing and data management system such as a customized video paid content sale system to manage various methods for deep sleep; recommends a life schedule and lacks through a sleep scheduling for a next day or for a long term according to the quality of sleep, beyond the deep sleep; and makes an optimizing schedule to maintain and manage conditions. The present invention comprises a brainwave measuring unit, a memory unit, a brainwave comparing unit, a stimulus generating unit and a control unit.

Description

Schedule recommendation system and device using sleep assist device

The present invention relates to a scheduling recommendation system and apparatus using a sleep assist device, and in particular to provide a sleep waveform that is most suitable according to a schedule for the next day based on an event characterized by the user's previous day, and assists sleep to assist with sleep. It is a recommendation system for scheduling devices and methods that recommends various elements most needed according to the schedule of the next day while meeting the user's sleep balance.

Sleep or sleeping refers to the act of closing your eyes and resting in an unconscious state, and humans spend one third of their life sleeping.

 Sleep, as well as eliminating stress and fatigue from daily tensions, is a time to replenish the energy used to work during the day.

 On the other hand, in our body, the brain is the place that oversees all the biological functions for maintaining life, and the brain needs rest in order to maintain proper balance of activity, and most of these breaks occur during sleep.

 Accordingly, when sleep is not properly performed, the brain loses biochemical and electrical balance, and problems such as being unable to effectively respond to various stimuli encountered in daily life occur.

 For this reason, getting a good night's sleep is paramount. However, there are cases where office workers are unable to get a good night's sleep due to heavy work and frequent overtime work, test takers have a lot of learning, and housewives have a lot of housework.

In addition, in the case of workers in special work types such as lorry drivers, police officers, firefighters, nurses, doctors, etc., there is a problem of poor sleep quality due to lack of sleep or irregular sleep time.

 In order to solve this problem, computer processing and data management systems such as image search and natural language processing and image generation systems using deep learning and online recommendation systems, augmented reality systems, and customized video paid content sales systems are used. Various ways to get a good night's sleep are being sought, and beyond the night's sleep, depending on the quality of sleep, the next day or a long-term sleep scheduling recommends the life schedule and the deficiency, making the optimal schedule and maintaining the condition. It's about the system.

The present invention has been devised according to the trend related to the recommendation system, and a sleep assisting device and method to assist a user to get a good night's sleep by stimulating various senses of a human being so that the user's sleep brain waves are close to the brain wave pattern suitable for a good night's sleep The aim is to provide a plan and provide a schedule at the same time.

In addition, it is useful for grafting using chatbot and smart screen skin footing technology. EEG and hormones and pulses such as wave, SWR, sleep spindle wave, blood flow, light source, binaural beat, sleep temperature, oxygen level, bone conduction, current stimulation, It is a system that schedules sleep using magnetic field stimulation, radio frequency, and wearables using a sleep band, sleep bracelet, sleep necklace, etc., and analyzes the user's recorded patterns and schedules to create an optimal schedule for the next day.

A sleep assisting device according to an embodiment of the present invention for achieving the above object is mounted on the user's body in place, and an EEG measuring unit for measuring a user's sleep EEG; A memory unit for storing a reference EEG pattern that appears when a sound sleep is performed for each sleep time; An EEG comparison unit for reading a reference EEG pattern corresponding to the estimated sleep time based on the estimated sleep time and the wake-up time input from the user from the memory unit and comparing it with the user's sleep EEG pattern measured by the EEG measurement unit ; It is implemented in a form that the user can put his head and lie down to get a sleep, and stimulates the user's sense of smell, vision and hearing, and transmits vibration to the user's head; Preferably, a control unit controls an operation of the stimulation generator to induce a user's sleep EEG pattern to approach the reference EEG pattern according to the comparison result in the EEG comparison unit.

Furthermore, the stimulation generating unit may include an olfactory stimulation unit that generates at least one of aroma fragrance, oxygen, and carbon dioxide to stimulate the user's sense of smell; A visual stimulation unit generating light to stimulate a user's vision; A hearing stimulation unit that generates a sound to stimulate the user's hearing; It is preferable to include at least any one of the vibration unit for outputting the vibration to the user's head.

In addition, the auditory stimulation unit, it is preferable to stimulate the user's hearing by using at least one of 1 / f fluctuation rhythm, binol beat, dual binol beat, white noise, pulse tone, and pulse code.

In addition, the vibration unit, it is preferable to output the vibration to any one of the user's temple, forehead, crown.

In addition, the vibration unit, when the user is lying down to sleep, the back of the vibration unit to output vibration to the user's back, buttocks, and the front of the user's abdomen and chest is mounted in a band format to output vibration to the user's abdomen It is preferable to further include at least any one of the vibrating portion.

On the other hand, the sleep assisting method according to an embodiment of the present invention, the process of receiving at least one of the long-term activity, brain activity, hormonal activity function with the wake-up time from the user; A process of inducing sleep by operating at least one of a visual stimulation unit, an olfactory stimulation unit, an auditory stimulation unit, and a vibration unit constituting the stimulation generating unit; Measuring a user's sleep brainwaves to predict a predicted sleep time, and determining a sleep time based on the predicted predicted sleep time and the wake-up time; Reading a reference EEG pattern corresponding to the identified sleep time from a memory unit and comparing it with a user's sleep EEG pattern measured by the EEG measurement unit; If the user's sleep brain wave pattern is out of the reference brain wave pattern as a result of the comparison, it is preferable to include a process of controlling the driving of the stimulation generator so that the user's sleep brain wave pattern approaches the reference brain wave pattern.

Furthermore, it is preferable to further include a process of inducing resonance in the long-term by driving the rear vibrating part and the front vibrating part according to the sleep rhythm.

Through this process, if the person who is stressed by checking sleep and applying a desirable sleep brain wave is under stress, artificial intelligence can reduce the proportion of the hippocampus's SWR wave that controls long-term memory and increase the weight of the hippocampus's SWR wave. Through this, the schedule is scheduled to optimize the next day or the mid- to long-term schedule to the most desired form according to the stress index and physical activity index fatigue index and nutrition index. These schedules do not rely solely on brain waves and physical rhythms, but sleep programs and scheduling suggestive of motivation to sound and suggestive motivation to learn if you lack nutrition and lack of motivation for learning In can be included in the schedule to recommend the reflection in real life.

The recommendation system includes pattern image search and natural language processing and image generation system using deep learning and machine learning, online recommendation system, optimized similar pattern model using GAN, augmented reality system, online contract system, and customized video paid content sales system. It manages various ways to get a good night's sleep by using the same computer processing and data management system, and recommends the optimal schedule by making the optimal schedule by recommending the life schedule and the lack of the next day or long-term sleep schedule depending on the quality of sleep beyond sleep. Uses technology related to the system that allows maintenance.

According to the scheduling recommendation system and apparatus using the sleep assisting device of the present invention, it is possible to stimulate the various senses of human beings and help the user to get a good night's sleep. It is a program that manages complex and busy daily life more like a manager by creating a system that enables systematic recommendation of scheduling, recommendation food, recommendation video, and recommendation schedule.

1 is a view schematically showing a configuration of a device for scheduling a recommendation system and a device using a sleep assisting device according to an embodiment of the present invention.
Figure 2 is an external perspective view of the sleep assisting device according to an embodiment of the present invention.
Figure 3 is a process diagram for explaining a sleep assisting method according to an embodiment of the present invention.
Using this form, we collect data, recommend a schedule to maintain the user's desired form of sleep optimization, and construct an artificial intelligence system that balances sleep and life.
*** Explanation of symbols for the main parts of the drawing ***
100. Sleep assist device, 110. EEG measurement unit, 120. Memory unit,
130. EEG comparison section, 140. Stimulation generation section, 141. Olfactory stimulation section
143. Visual stimulation unit, 145. Auditory stimulation unit, 147. Vibration unit,
150. Control unit, 160. User interface unit, 170. Alarm unit,
180. Temperature control

Hereinafter, a system and apparatus for recommending sleep using a sleep assisting apparatus according to a preferred embodiment of the present invention will be described in detail with reference to the accompanying drawings.

Prior to the description of the present invention, sleep is divided into several stages, which are divided into REM: Rapid Eye Movement (REM) sleep and non-Rapid Eye Movement (NREM) sleep.

REM sleep, where rapid eye movement occurs, is a sleep that dreams, and the heart rate and breathing appear irregularly, and non-REM sleep is classified into a deep sleep and a deep sleep, from stage 1 to stage 4, depending on the depth of sleep.

Sleep goes from stages 1 to 2 through stages 3 to 4 and changes to REM sleep. When you get a good night's sleep, this process appears regularly 3 to 5 times overnight.

Accordingly, the present invention stimulates the user's various sensations so that the user's sleep brain waves are close to the EEG pattern that appears when taking a good night's sleep, and induces the user to take a good night's sleep.

1 is a road schematically showing the configuration of a sleep assisting device according to an embodiment of the present invention, an EEG measurement unit 110, a memory unit 120, an EEG comparison unit 130, a stimulation generation unit 140, and a control unit 150, the user interface 160 is included.

 In FIG. 1, the EEG measuring unit 110 is mounted in place of the user's body to measure the user's sleep EEG, and may be implemented in a form worn on the user's wrist, or may be implemented to attach an electrode to the user's head. And may be implemented in the form of a headset.

The memory unit 120 is an EEG pattern (hereinafter referred to as a 'reference EEG pattern') that occurs when a sound sleep is performed for each sleep time, a user's sleep EEG pattern measured by the EEG measurement unit 110, eye movement, meditation, and learning A program, a program for implementing an EEG record during sleep of the user, and a sleep assisting method according to the present invention are stored.

The EEG comparison unit 130 reads the reference EEG pattern corresponding to the sleep time from the memory unit 120 after determining the total sleep time based on the expected sleep time and the wake-up time input from the user, and reads the EEG measurement unit 110 After comparing with the user's sleep EEG pattern measured through), the comparison result value of the two EEG patterns is applied to the controller 150.

 The stimulation generating unit 140 stimulates the user's sense of smell, vision, and hearing so that the user's sleep brain wave pattern approaches the reference brain wave pattern under the control of the control unit 150 and transmits vibration to the user's head.

The aforementioned stimulus generation unit 140 includes at least one of the olfactory stimulation unit 141, the visual stimulation unit 143, the auditory stimulation unit 145, and the vibration unit 147.

 Here, the olfactory stimulation unit 141 generates aroma scent (for example, lavender, rosemary, lemon, eucalyptus, etc.), oxygen, carbon dioxide, and the like to stimulate the user's sense of smell to induce sleep.

As described above, the olfactory stimulation unit 141 is preferably installed in the vicinity where the user's nose is located when the user lies down with his head, so that aroma fragrance, oxygen, carbon dioxide, etc. are well delivered to the user's nose.

 Then, the visual stimulation unit 143 periodically generates light for a period of time to stimulate the user's vision to induce sleep. The above-described visual stimulation unit 143 may be implemented as a 1 / f fluctuation spectrum using a 1 / f fluctuation rhythm that is a natural rhythm.

 The above-described visual stimulation unit 143 is preferably installed in the vicinity of the user's eye when the user lies down with the head in place, so that light is well transmitted to the user's eye.

In addition, the visual stimulation unit 143 is implemented as an LCD, LED, or imager, so that the user can perform eye movements, pre-sleep learning, and sleep induction programs (meditation).

As described above, when the visual stimulation unit 143 is implemented as an LCD or an LED, it is possible to induce various colors and light brightness that the user can stabilize.

 On the other hand, when the visual stimulation unit 143 is implemented as a lamp, it is preferable to be implemented as a light source lamp capable of outputting light in various colors such as green or blue, which gives a stable feeling to a user.

On the other hand, the auditory stimulation unit 145 generates sound and stimulates the user's hearing to induce sleep. At least among 1 / f fluctuation rhythm, binol beat, dual binol beat, white noise, pulse tone, and pulse code It stimulates the user's hearing by using any one.

The above-mentioned, the auditory stimulation unit 145 is preferably installed in the vicinity of the user's ear when the user is lying on his or her head, so that sound is well transmitted to the user's ear.

 The above-described visual stimulation unit 143 and the auditory stimulation unit 145 are simultaneously driven under the control of the control unit 150 to be able to stimulate the user's vision and hearing together. In this case, the auditory stimulation unit 145 For example, by using two bits with a frequency difference to stimulate the user's hearing by using the binaural bit, the visual control unit 150 generates a signal having a frequency equal to the frequency difference between the two signals that stimulate the hearing. By using it, the light can be periodically lit to stimulate the user's vision.

 Meanwhile, the vibration unit 147 outputs vibration to the user's head, and outputs vibration to any one of the user's temple, forehead, crown, and neck. In this way, vibration is output to the head to activate the user's brain and induce a good night's sleep.

As described above, the vibrating unit 147 is mounted on the back of the user's back and hips to vibrate when the user is lying down to sleep, and the user's abdomen is band-mounted to vibrate the user's stomach and chest. It may be made to further include at least any one of the output front vibration unit. As described above, when vibrations are output to the user's back, hips, belly, and chest through the rear vibrator and the front vibrator, resonance is induced as the user's internal organs are shaken.

In this way, by inducing resonance in the organ and activating the organ, it is possible to improve the intestinal function.

 The vibration unit 147 described above is preferably implemented as a bone conduction vibrator or a speaker vibrating plate.

As described above, the stimulus generating unit 140 is preferably implemented in a form in which the user can put his head and lie down to get a sleep, as shown in FIG. 2. And, it is implemented in an opening and closing type so that it can be automatically opened when the wake-up time comes.

In addition, the above-described stimulation generating unit 140 may be implemented to be able to use the pillow used by the user, or may be implemented by including a device capable of supporting the head itself.

 On the other hand, the control unit 150 based on the comparison result value of the user's EEG pattern and the reference EEG pattern received from the EEG comparison unit 130 to stimulate the user's sleep EEG pattern close to the reference EEG pattern (stimulation generation unit ( 140).

That is, the control unit 150, if the user's sleep EEG pattern is out of the reference EEG pattern according to the comparison result value of the two EEG patterns received from the EEG comparison unit 130, the stimulation generating unit 140 so that the user can take a good night's sleep ) To induce the user's sleep EEG pattern to be close to the reference EEG pattern.

In addition, the control unit 150 controls the alarm unit 170 based on the wake-up time input from the user to output an alarm.

 Meanwhile, the user interface unit 160 receives a sleep schedule and a schedule from a user, or provides an EEG record to the user during the user's sleep according to a user's request.

 The user interface unit 160 described above has a function selection unit such as brain activity, long-term activity, hormone activity, physical activity, sound sleep induction, brain cell protection, etc., so that a user can select a function desired to focus from among various functions. It is desirable to do.

The temperature controller 180 controls the temperature around the user's face.

 3 is a process diagram illustrating a sleep assist method according to an embodiment of the present invention.

 First, the sleep assisting device 100 receives a function desired by the user to focus among selection functions such as long-term activity, brain activity, and hormonal activity with a wake-up time from the user (S10).

 Thereafter, when a start command is input from a user lying down with a head in the sleep assisting device 100 to take a sleep, the visual stimulation unit 143, the olfactory stimulation unit 141, the auditory stimulation unit ( 145), by operating at least one of the vibration unit 147 to stimulate the user's senses with light, incense, sound, vibration, etc., to tune the user's brain to induce sleep (S12).

 By driving the stimulation generator 140 through the above-described process S12 to induce sleep, the user's sleep EEG is measured through the EEG measuring unit 110 (S14), and the user is measured through the EEG measuring unit 110. When the control unit 150 predicts the expected sleep time by analyzing the sleep EEG of (S16), the EEG comparison unit 130 calculates the total sleep time based on the estimated sleep time and the wake-up time input in the above process S10. Grasp (S18).

Then, the reference EEG pattern corresponding to the sleep time identified in the above process S18 is read from the memory unit 120, and the user measured through the reference EEG pattern and EEG measurement unit 110 read from the memory unit 120 After comparing the sleep EEG of the, the comparison result value of the two EEG patterns are applied to the control unit 150 (S20).

Through the above-described process S20, the controller 150 receiving the comparison result value of the two EEG patterns from the EEG comparison unit 130, the sleep EEG pattern of the user deviates from the reference EEG pattern according to the comparison result value of the two received EEG patterns. If there is, the stimulation generating unit 140 is operated so that the user can get a good night's sleep so that the user's sleep EEG pattern is close to the reference EEG pattern (S22, S24).

In addition, in accordance with the sleep rhythm, by driving the rear and front vibrations of the vibration unit 147 to induce resonance in the user's organs (S26).

Thereafter, when the wake-up time arrives (S28), an alarm is output to wake the user (S30).

 The recommendation system includes pattern image search and natural language processing and image generation system using deep learning and machine learning, online recommendation system, optimized similar pattern model using GAN, augmented reality system, online contract system, and customized video paid content sales system. It manages various ways to get a good night's sleep by using the same computer processing and data management system, and recommends the optimal schedule by making the optimal schedule by recommending the life schedule and the lack of the next day or long-term sleep schedule depending on the quality of sleep beyond sleep. Uses technology related to the system that allows maintenance.

 The schedule recommendation system and apparatus using the sleep assisting apparatus of the present invention are not limited to the above-described embodiments and can be implemented by variously changing within the scope allowed by the technical spirit of the present invention.

For example, insomnia cognitive behavioral therapy program using SNS (cbt-i) + neurofeedback + sleep analysis using camera and sound radio wave infrared observation

It has been proven that the effects of face-to-face CBT-I and CBT-I programs using mobile SNS are the same. CBT-I using the Internet has been found to improve sleep quality by reducing the number of hours of sleep for insomnia patients and by reducing the number of awakening during sleep, and conducting CBT-I and image therapy using web applications and mobile SNS. The results showed that sleep efficiency and quality of sleep, weekly concentration, daytime social function and mood were improved compared to the control group that had only sleep training. Combining the method using the neurofeedback prevents sleep through stimulation control. Through neurofeedback, you can learn practical ways to limit and control possible factors.

It can also be combined with behavioral therapy programs to explain how to use neurofeedback.

 In addition, it includes a variety of transformation techniques for sleep scheduling using the following techniques.

Sleep induction equipment

Sleep alarm device

Awakening alarm method using light

Sleep level measuring instrument

Artificial intelligence assistant

Image search and natural language processing and image generation using deep learning

Activity monitoring system according to location-based movement

Augmented Reality System

Customized video paid content sales system {Sleep Cognitive Behavior Therapy (CBT)}

As described above, various body data can be collected using each of the previous techniques.

The present invention is a system operated based on the generated sleep body data, and is based on various artificial intelligence scheduling algorithm systems that optimize data sleep, data image search, natural language processing, image generation systems, and sleep using recently developed deep learning. There is.

Based on personalized content recommendation and data life data, such as neurofeedback and augmented reality systems for psychotherapy and analysis, it utilizes a variety of state-of-the-art technologies and methods to get a good night's sleep using an optimal management system. The system of the model was sought, and beyond the sleep that benefits sleep, according to the quality of sleep and life data, the life schedule and the deficiency part through the next day or long-term sleep scheduling can be recommended to create the optimal schedule and maintain the condition. It features a system.

The present invention introduces a new concept of deep sleep and augmented sleep using these body data, and is a system that induces daily life to be sent based on an enhanced deep sleep induction schedule through augmented sleep cycling.

In order to develop an artificial intelligence system for a system that creates an optimal augmented sleep schedule based on life data that changes from time to time according to changes in individual life and goals according to the observed schedule and body changes, and sleep and pursuing life data patterns It is designed.

Among them, the sleep agent helps to synchronize the mind and body while stimulating the various senses of the human body so that the user's sleep brain waves are close to the brain wave pattern suitable for a good night's sleep, and provides a sleep aid device and method to assist the user to get a good night's sleep The purpose is to plan and provide a schedule.

You will use a variety of techniques to use this sleep scheduling. As input method, the main body rhythm that wants to affect basic scheduling and user intention by using technology such as chatbot, smart speaker (voice recognition), and skin foot (tattoo) using smart screen is useful. EEG, such as slow wave, SWR wave, sleep spindle wave, light source for fine correction of hormone and pulse, blood flow, binaural beat, sleep temperature, oxygen amount, bone conduction, current stimulation, magnetic field stimulation, radio frequency, low frequency and camera, At least 7 days through artificial intelligence solution to create optimal schedule for the next day by analyzing and checking the user's recorded patterns and schedules at the same time by checking and scheduling sleep using sleep belts, sleep bracelets, sleep necklace belts, etc. To analyze the amount of energy available and adjust the most efficient schedule plan Despite being angry schedule is a form of artificial intelligence systems and operation schedule a custom schedule conditioning system to reduce the time to reach or become powerless to limit that determines user intent.

Most people are exposed to various situations in their homes and offices, and even in regular life, unexpected events cause fluctuations in the daily schedule, making it difficult to implement the schedule according to the schedule. Planning and creating a project is often more complicated than you think.

It takes a lot of time and money, and weighting multiple schedules is not as easy as it sounds, and the process of creating a schedule at the same time as the schedule is complicated becomes complicated for each individual.

It is easy to create a plan that wastes and exhausts meaningless energy as a schedule that accumulates fatigue and misuses a lot of time as a schedule that does not fit your body rhythm in an increasingly complex and diversified age. Go ...

 Efficient sleep-based schedules and time can more positively correct a lot of meaningless time and fatigue, which can provide many benefits in terms of efficient mental and health care time.

 Problems can be easily diagnosed on a medical examination that is difficult to diagnose, which is usually easy to reveal a loophole because the sleep state can be accurately known, and it is complicated and diagnoses itself more usefully for a lot of time and effort, and the lack and advantages of the long-term perspective You can choose scheduling to maximize. In the overall space for life on sleep, you can't make life apart from any one, and when you see sleep as a unit of life, investing in maintenance time for these awakened sleep will awaken your potential ability.

 Of course, you can see in the future that even mothers who raise children will be approached through an artificial intelligence system that has seen the awakening of potentials that even a secretary with a boss could never do.

Artificial intelligence (schedule example)

 -Make a sleep journal and make a plan (check your sleep for the last two weeks and calculate the average sleep time)

 -Set a certain wake-up time and sleep time (hormonal rhythm wake-up light in the morning (melatonin after 14-16 hours) (sleep before 12:00)

 -If you do not sleep after 15 minutes on the futon, modify the schedule (wearable device)

 -The percentage of time you actually sleep during sleep is called “sleep efficiency”. If you sleep more than 85% of sleep time by calculating sleep efficiency, increase the target sleep time by 15 minutes and repeat the above pattern 85%. If it is less than, the target sleep time is reduced by 15 minutes (the target sleep time is always 5 hours or more)

-Schedule sleep by predicting future sleep patterns based on weights for full-scale sleep.

-Schedule an optimized sleep time and activity for your next day's sleep.

-In the case of new sleep prediction in a condition that is not regular, reinforcement learning is conducted to predict the correction value.

-The next day, meal time, study time, break time, exercise time, etc., analyzes the user's occupation and peculiarities, and adjusts the schedule by predicting the behavior pattern of the heavy user among various schedules.

Claims (3)

When a user inputs a schedule, an apparatus for applying an optimal sleep waveform to a schedule according to the user's schedule, the EEG measuring unit mounted on a body and measuring a user's sleep EEG;
A memory unit for storing a reference EEG pattern that appears when a sound sleep is performed for each sleep time;
An EEG comparison unit for reading a reference EEG pattern corresponding to the estimated sleep time based on the estimated sleep time and the wake-up time input from the user from the memory unit and comparing it with the user's sleep EEG pattern measured by the EEG measurement unit ;
It is implemented in a form that the user can put his head and lie down to get a sleep, and stimulates the user's sense of smell, vision, and hearing, and a stimulation generator that transmits vibration to the user's head;
Scheduling recommendation system and apparatus using a sleep assist device comprising a control unit for controlling an operation of the stimulation generating unit to induce a user's sleep EEG pattern to approach the reference EEG pattern according to a comparison result from the EEG comparison unit .
Based on the system that can get a good night's sleep, according to the quality and pattern of sleep, the next day or long-term sleep scheduling and recommending the part of life deficiency can help you maintain the condition by making the optimal work and schedule based on sleep. Scheduling recommendation system and device using Haeju sleep aid. Based on the system that can get a good night's sleep, according to the quality and pattern of sleep, the next day or long-term sleep scheduling and recommending the part of life deficiency can help you maintain the condition by making the optimal work and schedule based on sleep. Characteristically, a scheduling recommendation system and apparatus using a sleep aid that optimizes long-term miracles related to learning centered on the west wave, SWR wave, and sleep spindle wave, which are in charge of long-term memory.

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