CN110456846A - A kind of adaptive more sense organ sleeping-assisting systems based on artificial intelligence - Google Patents
A kind of adaptive more sense organ sleeping-assisting systems based on artificial intelligence Download PDFInfo
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M21/00—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
- A61M21/02—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis for inducing sleep or relaxation, e.g. by direct nerve stimulation, hypnosis, analgesia
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- G—PHYSICS
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/4183—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by data acquisition, e.g. workpiece identification
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D27/00—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00
- G05D27/02—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00 characterised by the use of electric means
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M21/00—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
- A61M2021/0005—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis by the use of a particular sense, or stimulus
- A61M2021/0016—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis by the use of a particular sense, or stimulus by the smell sense
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M21/00—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
- A61M2021/0005—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis by the use of a particular sense, or stimulus
- A61M2021/0027—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis by the use of a particular sense, or stimulus by the hearing sense
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M21/00—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
- A61M2021/0005—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis by the use of a particular sense, or stimulus
- A61M2021/0044—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis by the use of a particular sense, or stimulus by the sight sense
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Abstract
The invention discloses a kind of adaptive more sense organ sleeping-assisting systems based on artificial intelligence, including detection gasket, are arranged between pillow and mattress, for detecting user to the pressure signal of pillow and sending decision-making module to；Context detection module, centrally disposed chassis interior, for detecting environmental signal relevant to sleeping, and by environmental signal real-time transmission to decision-making module；Decision-making module, centrally disposed chassis interior, for converting sleep state signals for the pressure signal received, and carry out real-time operation and decision, to light modules, sound module, smell module and be connected to this system other intelligent appliances transmission execute instruction.The present invention can detect sleep state based on pressure signal of the user to pillow, and it is made a policy using adaptive algorithm combining environmental signal, change sleep environment by lighting module, sound module, smell module, intelligent appliance, so that subtle promotion wakes up user with sleeping or help high-efficiency comfortable.
Description
Technical field
The invention belongs to artificial intelligence and internet of things field, more particularly, to a kind of adaptive more senses based on artificial intelligence
Official's sleeping-assisting system.
Background technique
Nowadays, the people for encountering sleeping problems is more and more.Many people generate insomnia for different reasons, fall asleep and be stranded
The situations such as hardly possible, poor sleeping quality.The reason of leading to these problems first is that inappropriate sleep environment, such as room temperature are difficult to
It is adjusted to problem present on a series of different sense organs such as comfort temperature, ambient lighting are too strong, environment smell more stimulates.
The Chinese patent literature of Publication No. CN109496029A discloses a kind of light regulator control system of assisting sleep bed,
Including environment light collection module, function button, physiology information detecting module, environment light collection module is mounted on the inside of cover and is equipped with
Card slot in, the output end of environment light collection module is connected with the input terminal of single-chip microcontroller, constitutes for acquiring bed body and cover
Light intensity in space；Function button is mounted in the key zone that bed body side is equipped with, and function button and single-chip microcontroller are electrically connected, function
Energy key is for regulating and controlling the extended length of telescopic rod one, telescopic rod two；Physiology information detecting module uses heartbeat detection bracelet, leads to
It crosses wireless communication module and single-chip microcontroller carries out the transmission of data, for detecting the heartbeat message data of patient.
However, the sleeps such as existing sleeping lamp, sleeping champignon assist product although the dimension being related to is wider, these products
Adjusting to sleep environment be all it is relatively independent in each single dimension, there is no mutual for adjusting between each sense organ dimension
Communication and cooperation, and a kind of more perfect system is not present.
At the same time, interpersonal sleep habit is widely different, and the adjustment of sleep environment needs vary with each individual, to sleeping
Dormancy space carries out personalized construction.And sleep state of the same person in different moments is different, needed for sleep ring
Border is also different, and sleep environment should carry out real-time monitoring in conjunction with the sleep state and environmental parameter of people.
With the fast development of artificial intelligence technology, intelligent home system, which has begun, comes into huge numbers of families.Intelligence system
Feedback can be made automatically by judging the behavior state of user, however but none is suitable for assisting sleep up to now
Intelligence system and control mode occur.
Summary of the invention
The present invention provides a kind of adaptive more sense organ sleeping-assisting systems based on artificial intelligence, realize one it is complete
More sense organ sleeping accesses, and can according to the personal preference and service condition of user carry out adaptive learning, individual character be provided
The assisting sleep feedback adjustment of change.
A kind of adaptive more sense organ sleeping-assisting systems based on artificial intelligence, comprising:
Gasket is detected, is arranged between pillow and mattress, believes for detecting user to the pressure signal of pillow, and by pressure
Number subchannel sends the decision-making module in central base to；
Context detection module is mounted in central base, for detecting environmental signal relevant to sleeping, and environment is believed
For real-time transmission to decision-making module, the environmental signal includes luminance signal, voice signal and temperature after number being converted into floating number information
Moisture signal；
Decision-making module, centrally disposed chassis interior, for converting sleep state signals for the pressure signal received,
And sleep state signals and environmental signal are subjected to integrated treatment using adaptive machine learning algorithm, carry out real-time operation and are determined
Plan, to light modules, sound module, smell module and be connected to this system other intelligent appliances transmission execute instruction；
The light modules are used to receive the instruction of decision-making module transmission, issue corresponding sleeping light, play noctilucence or wake-up
One in light；The sound module is used to receive the instruction of decision-making module transmission, issues sleeping music, sleeping white noise or calls out
One in music of waking up；The smell module is used to receive the instruction of decision-making module transmission, issues sleeping smell or wakes up smell
In one.
This system further includes keeping for the interface of intelligent appliance, for connecting decision-making module and intelligent appliance, by decision model
Block is executed instruction to intelligent appliance transmission floating number, adjusts temperature and humidity and other environmental parameters.
System of the invention is slept using detection gasket and context detection module as identification module to obtain user in real time
Status data and sleep environment data are sent to decision-making module and carry out integrated treatment and decision and send to execute instruction, then pass through
Light, sound, three feedback modules of smell and other access systems intelligent appliance carry out Intelligence Feedback, adjust sleep in real time
Dormancy environment, to assist user's efficient sleep.
The detection gasket surface is equipped with diaphragm pressure sensor array, and each sensor in array can be same respectively
When receive and recognize human body to the pressure signal of pillow；The pressure signal that each pressure sensor obtains respectively corresponds one and leads to
Road, detection gasket determining inside real-time transmission to central base in the form of multi channel signals by the pressure signal of multiple sensors
Plan module.
Preferably, each channel is previously provided with default value, and default value can be returned and be used in conjunction with the initial Preferences of user
The most comfortable sleep condition section at family, plays better sleeping effect.
The decision-making module receives the multi-path pressure signal of detection gasket and draws pressure signal spectrogram, utilizes CNN
Convolutional neural networks identify different frequencies spectrogram, judge the corresponding sleep state of spectrogram；The sleep state is comprising multiple
Label and each label correspond to the vector of probability, and the label includes: not lie down, lain down, not falling asleep, having fallen asleep, is deep sleep, shallow
It sleeps, get up in the night to urinate halfway, end of getting up in the night to urinate.
Dormant logic is judged by pressure change are as follows: show according to the spectrogram that signal is converted, work as sensing
When the signal of array detection reaches a threshold value, then state is judged to have lain down；When pressure signal tends to be steady in a period of time
When, state is judged to have fallen asleep；It is gradually decrease to certain section when pressure signal changes, judges state for shallow sleep；Work as pressure
Signal intensity is gradually decrease to above-mentioned section minimum hereinafter, judging state for deep sleep；After user is sleeping for the first time, pressure
It reduces zero in the signal short time, judges that state is got up in the night to urinate for midway；When signal reaches threshold value again, state is judged to get up in the night to urinate
Terminate, user lies down.
The decision-making module is after obtaining user's sleep state, using default adaptive probability algorithm, in conjunction with current time
And luminance signal, voice signal, temperature-humidity signal that context detection module obtains, judge optimum illumination, sound, smell and temperature
Damp condition, and executed instruction to the transmission of light modules, sound module, smell module or intelligent appliance.
Adaptive machine learning algorithm in the decision-making module increases not with user's sleep state and environmental signal
Disconnected iterative learning, gradually increases adaptive ability.Decision-making module is to light modules, sound module, smell module or intelligent appliance
After transmission executes instruction, environmental signal will change, to act on user, influence the sleep state of user；Detect gasket
User's sleep state will be continued to test, context detection module continues to detection environmental signal；User's sleep state and environment letter
Number will be used as feedback signal, the operation of decision-making module will be reacted on, to realize dynamic equilibrium.
Adaptive machine learning algorithm selection in decision-making module considers the particularity of sleep scene, including privacy concern
And individual difference, select the small-sample learning algorithm of low-power consumption.
The decision-making module be also used to according to it is set by user get up period and the actually detected sleep state arrived into
Row decision, in getting up in the period for user preset, if detecting, user is in shallow sleep stage, to light modules, smell
Module transmission wake-up is corresponding to be executed instruction, and light modules, which issue, wakes up light, and smell module issues wake-up smell；If in five minutes
User is still not detected to wake up, decision-making module is then executed instruction to sound module transmission, and sound module, which plays, wakes up music.
LED pieces built in the light modules can issue corresponding sleeping light according to the instruction of decision-making module, play noctilucence
Or one in wake-up light.The sleeping light is that reddish orange sine breathes light, is fallen asleep for promoting user to secrete epiphysin help,
Sleeping light will turn off after detecting that user falls asleep；Described noctilucence is warm yellow light, is got up in the night to urinate illumination for user, when
It detects that user gets up at midnight, plays noctilucence and light automatically, lie down after detecting that user gets up in the night to urinate, play noctilucence and be automatically closed；
It lies down after detecting that user gets up in the night to urinate, and has difficulty in going to sleep within a preset time, sleeping light would automatically turn on to help user
It falls asleep；The wake-up light is that gradually bright simulation natural light promotes for simulating natural light in morning in wakeup time section set by user
User secretes cortisol；The brightness that light modules issue light is determined by decision-making module combination current environment luminance signal.
MP3 music module built in the sound module connects small speaker, can be in the instruction for receiving decision-making module transmission
Afterwards, one in sleeping music, sleeping white noise or wake-up music is issued.The sleeping music, sleeping white noise wake up sound
It is happy to set or use system default audio by user oneself；When detect user fall asleep after, sound module play automatically described in help
Dormancy music or sleeping white noise, sleeping music or sleeping white noise will turn off after detecting that user falls asleep；The wake-up
Music is happy for gradually resonant, for waking up user in wakeup time section set by user；The sound module plays the loudness of sound
By decision-making module combination current environmental sound signal deciding.
Atomizing piece and relay built in the smell module can issue after the instruction for receiving decision-making module transmission
One in sleeping smell or wake-up smell.The sleeping smell is lavender scent, user's sleep is used to help, when detecting
User is automatically closed after falling asleep；The wake-up smell is mint smell, for waking up user in wakeup time section set by user.
Information acquired in identification module (detection gasket and context detection module) is handled by decision-making module and operation, then connects
It connects multiple feedback modules and is linked into intelligent appliance, never build comfortable sleep environment with setting out in sense organ dimension to auxiliary
Help sleep.
Preferably, decision-making module can be analyzed more accurately by the autonomous learning of built-in sleep quality recognizer
The user's sleep quality that detection module received signal is reflected provides adaptive feedback decision.
Preferably, in each use process, algorithm also will record and learn the adjusting behavior and evaluation feedback of user, use
To enhance adaptive ability and optimization feedback effects.
Compared with prior art, the invention has the following advantages:
1, the sleep state detection mode that uses of the present invention be non-contact, non-intruding, it is non-vision, by below pillow
Place the pillow gasket of a built-in pressure sensing array, the pressure change detected using sensor array and machine learning algorithm
Infer sleep state.And the detections for belonging to contact in traditional sleep detection method, human body is contacted by various electrodes may. more
The sense of discomfort that can aggravate user makes its difficulty falling asleep.
2, the feedback module of each sense organ is carried out coordinated control by more sense organs sleep supplementary form that the present invention uses, and is formed
The entirety of one organic unity.Information acquired in identification module carries out the signals such as pressure by decision-making module and converts and handle,
It reconnects multiple feedback modules and is linked into intelligent appliance, never build comfortable sleep environment with sense organ dimension to assist
Sleep.
3, the control method that the present invention uses is different from existing sleeping product, and the adaptive algorithm of original creation can be according to user
Three preference, environmental parameter, time change factors carry out adjust automatically, to efficiently use detection information and carry out decision and anti-
The intelligent comprehensive regulation of more sense organ sleeping accesses is realized in feedback.User is without taking a significant amount of time the light to sleep environment, sound
The parameters such as sound, smell and temperature and humidity are configured, and can be obtained by the adaptive algorithm of the system to sleep in sleep
There are more sensory feedbacks of booster action.
4, the present invention is equipped with identification module and several feedback modules simultaneously, and user oneself can determine feedback module sleeping
Placement position in room；Reserved intelligent appliance interface is also that the use of user brings bigger freedom degree, is made full use of
Some conditions make comfortable sleep environment comprehensively.
Detailed description of the invention
Fig. 1 is overall structure diagram of the invention；
Fig. 2 is the workflow schematic diagram of the embodiment of the present invention；
Fig. 3 is the schematic diagram of different working modes of the embodiment of the present invention.
Specific embodiment
The invention will be described in further detail with reference to the accompanying drawings and examples, it should be pointed out that reality as described below
It applies example to be intended to convenient for the understanding of the present invention, and does not play any restriction effect to it.
System of the invention may be mounted in bedroom, as shown in Figure 1, a kind of adaptive more sense organs based on artificial intelligence
Sleeping-assisting system is divided into detection gasket, central base and feedback module, wherein context detection module is equipped in central base
And decision-making module.
The array of pressure sensors of detecting pad piece upper surface is believed for detecting user to the pressure signal of pillow, and by pressure
Number subchannel is transmitted to the decision-making module in central base.
Context detection module, for detecting environmental signal relevant to sleeping and environmental signal being separately converted to floating number
Information, environmental signal include one or more of luminance signal, voice signal or temperature-humidity signal.Decision-making module will receive
Pressure signal is converted into sleep state signals by CNN convolutional neural networks, and will be slept shape using adaptive machine learning method
State signal and environmental signal carry out integrated treatment, carry out real-time operation and decision, execute instruction to feedback module transmission.
Feedback module is divided into light modules, sound module, smell module and connects intelligent family according to different sense organ dimensions
The interface of electricity.
Detecting pad piece upper surface has diaphragm pressure sensor array, and sensor posts silica gel piece, is evenly distributed on detection
In module.Detection gasket is placed between pillow and mattress, and each sensor in array can receive and recognize people simultaneously respectively
Pressure signal of the body to pillow.The pressure signal that each pressure sensor obtains respectively corresponds a channel, and detection gasket will be more
Decision-making module of the pressure signal of a sensor in the form of multi channel signals inside real-time transmission to central base.Decision-making module
It receives the multi-path pressure signal of detection gasket and draws pressure signal spectrogram, identified using CNN convolutional neural networks different
Spectrogram judges the corresponding sleep state of spectrogram.The sleep state is to correspond to probability comprising multiple labels and each label
Vector, the label includes: not lie down, lain down, not falling asleep, having fallen asleep, deep sleep, shallowly sleep, get up in the night to urinate halfway, knot of getting up in the night to urinate
Beam.
Decision-making module is using default adaptive probability algorithm, according to user's sleep state, in conjunction with current time and environment
Luminance signal, the voice signal, temperature-humidity signal of detection module acquisition, judge optimum illumination, sound, smell and temperature and humidity item
Part, and executed instruction to the transmission of light modules, sound module, smell module or intelligent appliance.Decision-making module is to light modules, sound
After sound module, smell module or intelligent appliance transmission execute instruction, environmental signal will change, so that user is acted on, shadow
Ring the sleep state of user.Detection gasket will continue to test user's sleep state, and context detection module continues to detection environment
Signal.User's sleep state and environmental signal will be used as feedback signal, react on the operation of decision-making module, to realize that dynamic is flat
Weighing apparatus.The preset adaptive machine learning algorithm of decision-making module will increase continuous iterative learning with feedback signal, gradually increase
Adaptive ability.
As shown in Fig. 2, the overall workflow of present system is as follows:
By the analysis to pressure value, when the pressure that the array of pressure sensors of detection gasket detects (is missed from scratch
In poor range), then it is assumed that user lies down, and will open sleep state, and start timing.
If the pressure change (in error range) that array of pressure sensors detects is not detected within continuous six minutes, judge
User is sleeping.
Otherwise, then it is assumed that user does not fall asleep, will open hypnosis mode and continues to detect user's sleep quality.
After user falls asleep for the first time in sleep mode, if the pressure that array of pressure sensors detects is from having nothing
(in error range), then it is assumed that user gets up in the night to urinate, and opens get up in the night to urinate mode, and the closing when user lies down again at this time, restarts
User's sleep quality is detected.
It is set in wakeup time section when system reaches user, and detects that user shallowly sleeps, i.e., array of pressure sensors is examined
Pressure change (in error range) is measured, then opens awakening mode.
Awakening mode is got up in user, i.e., when array of pressure sensors detects pressure again and becomes 0 (in error range)
It closes, system is returned again as original state.
As shown in figure 3, the operating mode of present system is divided into three kinds.
When hypnosis mode is opened, light modules open reddish orange sine and breathe light, for promoting user to secrete epiphysin side
Help sleep；Sound module opens sleeping white noise or sleeping music, and user oneself can set audio, system default can also be used and set
It sets；Smell module issues lavender scent, is used to help user's sleep.
When mode of getting up in the night to urinate is opened, light modules open warm yellow light, get up in the night to urinate illumination for user.
When awakening mode is opened, light modules open gradually bright simulation natural light, for simulating natural light in morning, promote user
Secrete cortisol；Sound module opens gradually resonant pleasure, for waking up user；Smell module issues mint smell, uses for waking up
Family.
When being worked with upper module, the brightness that light modules issue light is determined by decision-making module combination current environment luminance signal
Fixed, sound module plays the loudness of sound by decision-making module combination current environmental sound signal deciding.
The present invention can detect the sleep state of user based on pressure signal of the user to pillow, and adaptive using presetting
It answers algorithm combining environmental signal to make a policy, is changed by the execution of lighting module, sound module, smell module, intelligent appliance
Become sleep environment, so that subtle promotion wakes up user with sleeping or help high-efficiency comfortable.System of the invention is by sleep
The feedback module of links connection, each sense organ dimension does not work independently, and is planned as a whole by intelligent control center
Management, to reach the sleeping effect of coordination.User can be by using the system, and obtaining has the adaptive of booster action to sleep
More sensory feedbacks are answered to adjust.
Technical solution of the present invention and beneficial effect is described in detail in embodiment described above, it should be understood that
Above is only a specific embodiment of the present invention, it is not intended to restrict the invention, it is all to be done in spirit of the invention
Any modification, supplementary, and equivalent replacement, should all be included in the protection scope of the present invention.
Claims (9)
1. a kind of adaptive more sense organ sleeping-assisting systems based on artificial intelligence characterized by comprising
Gasket is detected, is arranged between pillow and mattress, is divided for detecting user to the pressure signal of pillow, and by pressure signal
Channel sends the decision-making module in central base to；
Context detection module is mounted in central base, is turned for detecting environmental signal relevant to sleeping, and by environmental signal
For real-time transmission to decision-making module, the environmental signal includes luminance signal, voice signal and temperature and humidity after turning to floating number information
Signal；
Decision-making module, centrally disposed chassis interior, for converting sleep state signals, and benefit for the pressure signal received
Sleep state signals and environmental signal are subjected to integrated treatment with adaptive machine learning algorithm, carry out real-time operation and decision,
To light modules, sound module, smell module and be connected to this system other intelligent appliances transmission execute instruction；
The light modules are used to receive the instruction of decision-making module transmission, issue corresponding sleeping light, play noctilucence or wake up in light
One；The sound module is used to receive the instruction of decision-making module transmission, issues sleeping music, sleeping white noise or wakes up sound
One in pleasure；The smell module is used to receive the instruction of decision-making module transmission, issues sleeping smell or wakes up in smell
One.
2. adaptive more sense organ sleeping-assisting systems according to claim 1 based on artificial intelligence, which is characterized in that institute
The detection gasket surface stated is equipped with array of pressure sensors, and each pressure sensor in array can receive and know simultaneously respectively
The pressure signal of others' body to pillow；The pressure signal that each pressure sensor obtains respectively corresponds a channel, detects gasket
By the pressure signal of multiple sensors in the form of multi channel signals real-time transmission to decision-making module.
3. adaptive more sense organ sleeping-assisting systems according to claim 1 based on artificial intelligence, which is characterized in that institute
It states decision-making module to receive the multi-path pressure signal of detection gasket and draw pressure signal spectrogram, utilizes CNN convolutional Neural net
Network identifies different frequencies spectrogram, judges the corresponding sleep state of spectrogram；The sleep state is comprising multiple labels and each mark
The vector of corresponding probability is signed, the label includes: not lie down, lain down, not falling asleep, having fallen asleep, deep sleep, shallowly sleeping, midway
It gets up in the night to urinate, end of getting up in the night to urinate.
4. adaptive more sense organ sleeping-assisting systems according to claim 1 based on artificial intelligence, which is characterized in that institute
Decision-making module is stated after obtaining user's sleep state, using default adaptive probability algorithm, is examined in conjunction with current time and environment
Luminance signal, the voice signal, temperature-humidity signal that module obtains are surveyed, judges optimum illumination, sound, smell and temperature and humidity conditions,
And it is executed instruction to the transmission of light modules, sound module, smell module or intelligent appliance.
5. adaptive more sense organ sleeping-assisting systems according to claim 1 based on artificial intelligence, which is characterized in that institute
It states adaptive machine learning algorithm in decision-making module and increases continuous iterative learning with user's sleep state and environmental signal,
Gradually increase adaptive ability.
6. adaptive more sense organ sleeping-assisting systems according to claim 1 based on artificial intelligence, which is characterized in that institute
The decision-making module stated is also used to get up the period and the actually detected sleep state that arrives carries out decision according to set by user, with
Family is preset to get up in the period, if detecting, user is in shallow sleep stage, sends and wakes up to light modules, smell module
Corresponding to execute instruction, light modules, which issue, wakes up light, and smell module, which issues, wakes up smell；If use is still not detected in five minutes
Family is waken up, and decision-making module is then executed instruction to sound module transmission, and sound module, which plays, wakes up music.
7. adaptive more sense organ sleeping-assisting systems according to claim 1 based on artificial intelligence, which is characterized in that institute
Stating sleeping light is that reddish orange sine breathes light, is fallen asleep for promoting user to secrete epiphysin help, after detecting that user falls asleep
Sleeping light will turn off；Described noctilucence is warm yellow light, is got up in the night to urinate illumination for user, from detecting user's midnight
Bed plays noctilucence and lights automatically, lies down after detecting that user gets up in the night to urinate, and plays noctilucence and is automatically closed；When detecting that user gets up in the night to urinate
After lie down, and have difficulty in going to sleep within a preset time, sleeping light would automatically turn on to help user to fall asleep；The wake-up light is
Gradually bright simulation natural light promotes user to secrete cortisol for simulating natural light in morning in wakeup time section set by user；Lamp
The brightness that optical module issues light is determined by decision-making module combination current environment luminance signal.
8. adaptive more sense organ sleeping-assisting systems according to claim 1 based on artificial intelligence, which is characterized in that institute
It states sleeping music, sleeping white noise or wakes up music and set or use system default audio by user oneself；When detecting user
When preparation of lying down is fallen asleep, sound module plays the sleeping music or sleeping white noise automatically, helps after detecting that user falls asleep
Dormancy music or sleeping white noise will turn off；The wake-up music is happy for gradually resonant, in wakeup time set by user
Section wakes up user；The sound module plays the loudness of sound by decision-making module combination current environmental sound signal deciding.
9. adaptive more sense organ sleeping-assisting systems according to claim 1 based on artificial intelligence, which is characterized in that institute
Stating sleeping smell is lavender scent, is used to help user's sleep, is automatically closed after detecting that user falls asleep；The wake-up gas
Taste is mint smell, for waking up user in wakeup time section set by user.
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Application publication date: 20191115 |