CN112206395A - Setting method and device of linkage scene - Google Patents
Setting method and device of linkage scene Download PDFInfo
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- CN112206395A CN112206395A CN202010952584.8A CN202010952584A CN112206395A CN 112206395 A CN112206395 A CN 112206395A CN 202010952584 A CN202010952584 A CN 202010952584A CN 112206395 A CN112206395 A CN 112206395A
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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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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4806—Sleep evaluation
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4806—Sleep evaluation
- A61B5/4812—Detecting sleep stages or cycles
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6887—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient mounted on external non-worn devices, e.g. non-medical devices
- A61B5/6891—Furniture
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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
- A61M2021/0022—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 tactile sense, e.g. vibrations
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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
Abstract
The application is suitable for the technical field of smart home, and provides a setting method and device of a linkage scene, wherein the method comprises the following steps: acquiring sleep information of a user within a preset time length; inputting the sleep information into a pre-trained sleep disorder recognition model to obtain the sleep disorder type corresponding to the user and output by the sleep disorder recognition model; according to the sleep disorder type, preset setting information of a linkage scene strategy associated with the sleep disorder type is matched, the linkage scene strategy is control information of target equipment, and the target equipment at least comprises a mattress; and setting a linkage scene strategy of the target equipment according to the preset setting information. According to the scheme, the sleep disorder type is identified through the sleep information, so that different linkage scene strategies are set according to different sleep disorder types. Linkage scene strategies corresponding to different sleep disorder types can be set without depending on setting of the linkage scene strategies by a user.
Description
Technical Field
The application belongs to the technical field of smart home, and particularly relates to a setting method and device of a linkage scene.
Background
The intelligent home is a living environment, and is a living environment with a residence serving as a platform and an intelligent home system. In smart homes, the linkage scene is increasingly emphasized by users as one of important functions. The linkage scene is used for controlling a plurality of devices to execute target actions so as to meet the use requirements in different scenes (for example, when the linkage scene is a sleep scene, the lamp belt is controlled to be closed, the sleep music is controlled to be opened, the massager is controlled to be opened and the like, and when the linkage scene is a getting-up scene, the lamp belt is controlled to be closed, the sleep music is controlled to be closed, the massager is controlled to be closed and the like so as to meet the requirements in different scenes).
The user can set the equipment in the linkage scene to realize the self-defined setting of the linkage scene. However, the conventional setting method of the linkage scene can only adapt to a single sleep disorder type and is dependent on user operation, so that the method cannot adapt to different types of sleep disorders.
Disclosure of Invention
In view of this, the embodiment of the present application provides a setting method and device for a linkage scene, which can solve the technical problems that a traditional setting method for a linkage scene can only adapt to a single sleep disorder type and cannot adapt to different types of sleep disorders depending on user operations.
A first aspect of an embodiment of the present application provides a setting method for a linkage scene, where the method includes:
acquiring sleep information of a user within a preset time length, wherein the sleep information is used for representing the sleep depth of the user;
inputting the sleep information into a pre-trained sleep disorder recognition model to obtain the sleep disorder type corresponding to the user and output by the sleep disorder recognition model, wherein the sleep disorder type comprises endogenous sleep disorder, mental disease sleep disorder or physical disease sleep disorder;
according to the sleep disorder type, preset setting information of a linkage scene strategy associated with the sleep disorder type is matched, the linkage scene strategy is control information of target equipment, and the target equipment at least comprises a mattress;
and setting a linkage scene strategy of the target equipment according to the preset setting information.
A second aspect of the embodiments of the present application provides a setting device for a linkage scene, the device including:
the device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring sleep information of a user within a preset time length, and the sleep information is used for representing the sleep depth of the user;
the recognition unit is used for inputting the sleep information into a pre-trained sleep disorder recognition model to obtain the sleep disorder type corresponding to the user and output by the sleep disorder recognition model, wherein the sleep disorder type comprises endogenous sleep disorder, psychiatric sleep disorder or physical disease sleep disorder;
the matching unit is used for matching preset setting information of a linkage scene strategy associated with the sleep obstacle type according to the sleep obstacle type, the linkage scene strategy is control information of target equipment, and the target equipment at least comprises a mattress;
and the setting unit is used for setting the linkage scene strategy of the target equipment according to preset setting information.
A third aspect of embodiments of the present application provides a mattress comprising a bed, a sensor, a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the method of the first aspect when executing the computer program.
A fourth aspect of embodiments of the present application provides a computer-readable storage medium, which stores a computer program, and the computer program, when executed by a processor, implements the steps of the method according to the first aspect.
Compared with the prior art, the embodiment of the application has the advantages that: in the application, the sleep information of a user in a preset time length is acquired; inputting the sleep information into a pre-trained sleep disorder recognition model to obtain the sleep disorder type corresponding to the user and output by the sleep disorder recognition model; matching preset setting information of a linkage scene strategy associated with the sleep disorder type according to the sleep disorder type; and setting a linkage scene strategy of the target equipment according to the preset setting information. According to the scheme, the sleep disorder type is identified through the sleep information, so that different linkage scene strategies are set according to different sleep disorder types. Linkage scene strategies corresponding to different sleep disorder types can be set without depending on setting of the linkage scene strategies by a user.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or the related technical descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 illustrates a schematic diagram of a linkage control system provided by an embodiment of the present application;
FIG. 2 illustrates a schematic diagram of a mattress in a linkage scene system provided by an embodiment of the present application;
FIG. 3 is a schematic flow chart diagram illustrating a setting method of a linkage scenario provided by the present application;
FIG. 4 is a detailed schematic flow chart of a setting method of a linkage scenario provided by the present application;
FIG. 5 is a schematic diagram illustrating a sleep profile in a setup of a linkage scenario provided herein;
FIG. 6 is a schematic flow chart diagram illustrating another setup method for a linkage scenario provided herein;
FIG. 7 is a schematic flow chart diagram illustrating another setup method for a linkage scenario provided herein;
FIG. 8 is a schematic flow chart diagram illustrating another setup method for a linkage scenario provided herein;
FIG. 9 is a schematic flow chart diagram illustrating another setup method for a linkage scenario provided herein;
FIG. 10 is a detailed schematic flow chart diagram of a setting method for linkage scenario provided by the present application;
FIG. 11 is a schematic diagram of a setup device for a linkage scenario provided herein;
fig. 12 shows a schematic view of a mattress provided by an embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It should also be understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to" determining "or" in response to detecting ". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted contextually to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".
Furthermore, in the description of the present application and the appended claims, the terms "first," "second," "third," and the like are used for distinguishing between descriptions and not necessarily for describing or implying relative importance.
Reference throughout this specification to "one embodiment" or "some embodiments," or the like, means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the present application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," or the like, in various places throughout this specification are not necessarily all referring to the same embodiment, but rather "one or more but not all embodiments" unless specifically stated otherwise. The terms "comprising," "including," "having," and variations thereof mean "including, but not limited to," unless expressly specified otherwise.
The intelligent home is a living environment, and is a living environment with a residence serving as a platform and an intelligent home system. In smart homes, the linkage scene is increasingly emphasized by users as one of important functions. The linkage scene is used for controlling a plurality of devices to execute target actions so as to meet the use requirements in different scenes (for example, when the linkage scene is a sleep scene, the lamp belt is controlled to be closed, the sleep music is controlled to be opened, the massager is controlled to be opened and the like, and when the linkage scene is a getting-up scene, the lamp belt is controlled to be closed, the sleep music is controlled to be closed, the massager is controlled to be closed and the like so as to meet the requirements in different scenes).
The user can set the equipment in the linkage scene to realize the self-defined setting of the linkage scene. However, the conventional setting method of the linkage scene can only adapt to a single sleep disorder type and is dependent on user operation, so that the method cannot adapt to different types of sleep disorders.
In view of this, embodiments of the present application provide a setting method and apparatus for a linkage scene, which can solve the above technical problems.
Referring to fig. 1, fig. 1 is a schematic diagram illustrating a linkage control system according to an embodiment of the present disclosure. As shown in fig. 1, the coordinated control system includes a plurality of target devices, which may be a mattress 11, a motorized window treatment 12, an electric light 13, a television 14, or an air conditioner 15. The mattress 11 is connected with the electric curtain 12, the electric lamp 13, the television 14 or the air conditioner 15, and the connection mode can be wired connection or wireless connection. Fig. 1 is a schematic view of the linkage control system, and the type and number of the devices in fig. 1 are not limited.
The mattress 11 comprises a bed body, a sensor, a memory, a processor, a communication module and other modules.
The sensors in the mattress 11 are used to collect human physiological data, such as: body weight, respiration, pulse, snore, body movement and other human physiological data. And sending the human body physiological data to a processor, and obtaining the sleep information by the processor according to the human body physiological data. The sensor may be a combination of one or more of a micro-motion sensor and a pressure sensor.
The processor in the mattress 11 is used to obtain the sleep information of the user within a preset time period. And the processor inputs the sleep information into a pre-trained sleep disorder recognition model to obtain the sleep disorder type corresponding to the user and output by the sleep disorder recognition model. The processor matches preset setting information of a linkage scene strategy associated with the sleep disorder type according to the sleep disorder type (target devices include one or more of a mattress 11, a motorized window shade 12, an electric lamp 13, a television 14 and an air conditioner 15). And the processor sets a linkage scene strategy of the target equipment according to the preset setting information.
The communication module in the mattress 11 is used for establishing communication connection among the electric curtain 12, the electric lamp 13, the television 14 and the air conditioner 15 so as to set the linkage scene strategy of the target equipment.
The mattress 11 also includes a plurality of functional modules, such as massagers, heaters or light strips, etc., to satisfy the need for sleep disorder relief. Referring to fig. 2, fig. 2 is a schematic diagram illustrating a mattress in a linkage scene system according to an embodiment of the present application. The mattress 11 includes a massager 121, a heater 122, and a light bar 123. Fig. 2 is only an illustration of the mattress, and the type and number of the functional modules in fig. 2 are not limited in any way.
Based on the hardware environment, the application provides a setting method of a linkage scene, and an execution main body of the method is a mattress 11. Referring to fig. 3, fig. 3 is a schematic flowchart illustrating a setting method of a linkage scenario provided by the present application.
As shown in fig. 3, the method may include the steps of:
step 301, obtaining sleep information of a user within a preset time duration, where the sleep information is used to indicate a sleep depth of the user.
The normal sleep structure cycle of a human body is divided into two time phases: non-rapid eye movement sleep periods (NREM) and rapid eye movement sleep periods (REM). The non-rapid eye movement sleep period is divided into four periods, namely, a sleep onset period, a light sleep period, a sound sleep period and a deep sleep period. After falling asleep, the normal adult enters a non-rapid eye movement sleep period, which is generally a sleep period → a light sleep period → a sound sleep period → a deep sleep period → a sound sleep period → a light sleep period and the like in sequence for 70 minutes to 100 minutes, and then shifts to a rapid eye movement sleep period for about 5 minutes to 15 minutes to complete a sleep cycle.
Sleep disorders are sleep abnormalities caused by disorders in different sleep stages or wake stages. Common sleep disorders are characterized by:
first, it occurs in the early stage of sleep, which means that it is difficult to fall asleep, and is also the most common insomnia.
② waking up and sleeping at night.
And thirdly, the patient can awaken too early and can not fall asleep again when the patient suffers from the rapid eye movement sleep period.
And fourthly, the patient sleeps more or sleeps too much in daytime or sleeps too long at night and cannot wake up.
Different sleep disorders exhibit different characteristics in different sleep stages. Different sleep disorders need different auxiliary means to relieve the sleep disorders, namely 'taking medicine according to symptoms', so as to achieve the best relieving effect. Therefore, the embodiment acquires the sleep information of the user within the preset time length to identify the sleep disorder type of the user.
The preset duration may be the whole night or a certain period of time at night, and is not limited herein. The sleep information includes, but is not limited to, a sleep profile, and the like.
Step 302, inputting the sleep information into a pre-trained sleep disorder recognition model to obtain the sleep disorder type corresponding to the user and output by the sleep disorder recognition model, wherein the sleep disorder type comprises endogenous sleep disorder, psychiatric sleep disorder or physical disorder sleep disorder.
The processor inputs the sleep information into a pre-trained sleep disorder recognition model to obtain the sleep disorder type corresponding to the user and output by the sleep disorder recognition model. The sleep disorder recognition model comprises a neural network model or a classification model such as a Support Vector Machine (SVM).
Sleep disorders include, but are not limited to, types of sleep disorders including endogenous sleep disorders, psychiatric sleep disorders, or somatic sleep disorders, and the like.
Step 303, according to the sleep disorder type, matching preset setting information of a linkage scene strategy associated with the sleep disorder type, wherein the linkage scene strategy is control information of a target device, and the target device at least comprises a mattress.
Because the sleep quality is close to the sleep environment, the implementation sets different linkage scene strategies according to the sleep disorder type to relieve the sleep disorder.
Different sleep disorder types correspond to different preset setting information. The preset setting information can be default setting information of a system or user-defined setting information so as to adapt to the use requirements of the target equipment under different sleep disorders, and further change the sleep environment to achieve the effect of relieving the sleep disorders.
And the processor matches preset setting information of the linkage scene strategy associated with the sleep disorder type according to the sleep disorder type. For example: the mental disease sleep disorder is caused by tight nerves, and the purpose of relieving the sleep disorder is to relax the body and mind, so the preset setting information can be the setting information corresponding to linkage scene strategies such as turning on a sound (playing sleep-aid music), turning on a massager, turning on aroma and the like so as to adjust the sleep environment of a user. Another example is: the body disease sleep disorder is caused by body discomfort, and the purpose of relieving the sleep disorder at the moment is to relieve the body discomfort, so the preset setting information can be the setting information corresponding to linkage scene strategies such as turning on a massager, adjusting the hardness of a mattress to a preset value or adjusting an air conditioner to a preset temperature. Another example is: the sleepiness disorder is caused by excessive deep sleep, so that the purpose of relieving the sleep disorder is to awaken a user at a preset time, and the preset setting information can be the setting information corresponding to linkage scene strategies such as turning on a lamp, opening a curtain, opening a sound (awakening music) and opening a vibrator.
And 304, setting a linkage scene strategy of the target equipment according to the preset setting information.
And the processor sets a linkage scene strategy of the mattress according to preset setting information. The linkage scene strategy is control information of the target equipment. The control information is obtained according to preset setting information, namely, the linkage scene strategy is set according to the preset setting information, and the control information in the linkage scene strategy is obtained. The control information is used for controlling the target device to execute the target action so as to relieve the sleep disorder.
In the embodiment, the sleep information of the user in the preset time length is acquired; inputting the sleep information into a pre-trained sleep disorder recognition model to obtain the sleep disorder type corresponding to the user and output by the sleep disorder recognition model; according to the sleep disorder type, preset setting information of a linkage scene strategy associated with the sleep disorder type is matched, the linkage scene strategy is control information of target equipment, and the target equipment at least comprises a mattress; and setting a linkage scene strategy of the target equipment according to the preset setting information. According to the scheme, the sleep disorder type is identified through the sleep information, so that different linkage scene strategies are set according to different sleep disorder types. Linkage scene strategies corresponding to different sleep disorder types can be set without depending on setting of the linkage scene strategies by a user.
Specifically, on the basis of the embodiment shown in fig. 3, the sleep information includes a sleep graph, and the method specifically includes the following steps, please refer to fig. 4, and fig. 4 shows a specific schematic flowchart in a setting method of a linkage scenario provided by the present application. In this embodiment, steps 403 to 405 are the same as steps 302 to 304 in the embodiment shown in fig. 3, and please refer to the related description of steps 302 to 304 in the embodiment shown in fig. 3, which is not described herein again.
Step 401, acquiring the sleep depths corresponding to the users at different times according to a preset sampling frequency.
The acquisition method of the sleep depth comprises the following steps: the sensor collects one or more biological characteristic information of human heart rate, respiratory rate, body movement, snore and electroencephalogram signals. The processor performs time domain low-pass filtering on the time sequence of one or more biological characteristic information collected in a preset time length to obtain a time domain sequence, and performs fast Fourier transform on the sensor signal time sequence to obtain a frequency domain sequence. And the processor performs smooth filtering and downsampling on the time domain sequence and the frequency domain sequence to form a sensor time-frequency vector, inputs the sensor time-frequency vector into a sparse self-coding deep learning network adopting a full-connection structure, and extracts optimal characteristics. The processor inputs the optimal features into the Softmax classifier to obtain an identification result, wherein the identification result can be a numerical value with certain precision, and the numerical value is used for representing the sleep depth so as to finish the acquisition of the sleep depth.
Step 402, generating the sleep curve graph according to the different time instants and the sleep depths corresponding to the different time instants.
Arranging the sleep depths at different moments and corresponding to different moments according to the appearance sequence, fitting into a sleep curve graph, and visually reflecting the dynamic change of each sleep stage. Referring to fig. 5, fig. 5 is a schematic diagram illustrating a sleep graph in a setup of a linkage scenario provided by the present application. As shown in fig. 5, the sleep depth within the preset time period varies with time, the horizontal direction represents time, and the vertical direction represents the sleep depth. Different sleep disorders have different sleep graphs due to the abnormality of corresponding sleep stages, and certain difference characteristics exist. Different sleep disorder types can be identified according to the sleep profile.
Step 403, inputting the sleep information into a pre-trained sleep disorder recognition model to obtain the sleep disorder type corresponding to the user and output by the sleep disorder recognition model, where the sleep disorder type includes endogenous sleep disorder, psychotic sleep disorder or somatoform sleep disorder.
And 404, matching preset setting information of a linkage scene strategy associated with the sleep disorder type according to the sleep disorder type, wherein the linkage scene strategy is control information of target equipment, and the target equipment at least comprises a mattress.
And 405, setting a linkage scene strategy of the target equipment according to the preset setting information.
In the embodiment, the sleep depths of the user at different moments are collected according to a preset sampling frequency; and generating the sleep curve graph according to the different moments and the sleep depths corresponding to the different moments. Through the scheme, the sleep curve graph of the user is collected, and then different sleep disorder types are identified, so that different linkage scene strategies are set according to different sleep disorder types. Linkage scene strategies corresponding to different sleep disorder types can be set without depending on setting of the linkage scene strategies by a user.
Optionally, on the basis of the embodiment shown in fig. 4, the method further includes the following steps, please refer to fig. 6, and fig. 6 shows a schematic flowchart of another setting method for the linkage scenario provided by the present application. Step 601, step 602, step 604, and step 605 in this embodiment are the same as step 401, step 402, step 404, and step 405 in the embodiment shown in fig. 4, and refer to the description of step 401, step 402, step 404, and step 405 in the embodiment shown in fig. 4 specifically, which is not described herein again.
Step 601, acquiring the sleep depths corresponding to the users at different moments according to a preset sampling frequency.
Step 602, generating the sleep profile according to the different time instants and the sleep depths corresponding to the different time instants.
Step 603, inputting the sleep curve graph into a pre-trained sleep disorder recognition model to obtain the sleep disorder type corresponding to the user and output by the sleep disorder recognition model.
The sleep disorder recognition model includes, but is not limited to, a neural network model or a classification model such as a Support Vector Machine (SVM). Taking the neural network model as an example, the processor inputs the sleep curve graph into the neural network model, obtains the input of a Fully Connected Layer (full Connected Layer) through the processing of a plurality of Convolution layers (volume layers) and Pooling layers (Pooling layers) in the neural network model, and obtains an output result through the Fully Connected Layer, wherein the output result is the type of the sleep disorder.
Step 604, according to the sleep disorder type, matching preset setting information of a linkage scene strategy associated with the sleep disorder type, wherein the linkage scene strategy is control information of target equipment, and the target equipment at least comprises a mattress.
And 605, setting a linkage scene strategy of the target equipment according to the preset setting information.
In this embodiment, the sleep pattern is input into a pre-trained sleep disorder recognition model, so as to obtain the sleep disorder type corresponding to the user output by the sleep disorder recognition model. Through the scheme, different sleep disorder types are identified, and different linkage scene strategies are set according to different sleep disorder types. Linkage scene strategies corresponding to different sleep disorder types can be set without depending on setting of the linkage scene strategies by a user.
Optionally, on the basis of the embodiment shown in fig. 6, before the sleep curve graph is input into a pre-trained sleep disorder recognition model to obtain the sleep disorder type corresponding to the user output by the sleep disorder recognition model, the method further includes the following steps, please refer to fig. 7, and fig. 7 shows a schematic flowchart of another setting method of the linkage scenario provided by the present application. In this embodiment, step 701, step 702, step 707, step 708, and step 709 are the same as step 601 to step 605 in the embodiment shown in fig. 6, and refer to the description related to step 601 to step 605 in the embodiment shown in fig. 6, which is not repeated herein.
And 701, acquiring the sleep depths corresponding to the users at different moments according to a preset sampling frequency.
Step 702, generating the sleep curve graph according to the different time instants and the sleep depths corresponding to the different time instants.
Step 703, obtaining a plurality of sample data, where the sample data includes a sample sleep graph and a sleep disorder type corresponding to the sample sleep graph.
Step 704, inputting the sample sleep curve graph into an initial image recognition model to obtain a recognition result.
Step 705, comparing the identification result with the sleep disorder type corresponding to the sample sleep curve graph to obtain a comparison result.
Step 706, adjusting parameters in the initial image recognition model according to the comparison result to obtain the pre-trained sleep disorder recognition model.
And 707, inputting the sleep curve graph into a pre-trained sleep disorder recognition model to obtain the sleep disorder type output by the sleep disorder recognition model and corresponding to the user.
Step 708, according to the sleep disorder type, matching preset setting information of a linkage scene strategy associated with the sleep disorder type, wherein the linkage scene strategy is control information of a target device, and the target device at least comprises a mattress.
And 709, setting a linkage scene strategy of the target equipment according to the preset setting information.
In this embodiment, a plurality of sample data are acquired, where the sample data includes a sample sleep graph and a sleep disorder type corresponding to the sample sleep graph; inputting the sample sleep curve graph into an initial image recognition model to obtain a recognition result; comparing the identification result with the sleep disorder type corresponding to the sample sleep curve graph to obtain a comparison result; and adjusting parameters in the initial image recognition model according to the comparison result to obtain the pre-trained sleep disorder recognition model. According to the scheme, different sleep disorder types are identified through the pre-trained sleep disorder identification model, so that different linkage scene strategies are set according to different sleep disorder types. Linkage scene strategies corresponding to different sleep disorder types can be set without depending on setting of the linkage scene strategies by a user.
Optionally, on the basis of the embodiment shown in fig. 3, after the setting of the linkage scene policy of the target device according to the linkage scene setting information, the method further includes the following steps, please refer to fig. 8, and fig. 8 shows a schematic flowchart of another linkage scene setting method provided by the present application. Step 801, step 805, and step 806 in this embodiment are the same as step 301, step 303, and step 304 in the embodiment shown in fig. 3, and please refer to the related description of step 301, step 303, and step 304 in the embodiment shown in fig. 3, which is not repeated herein.
Step 801, acquiring sleep information of a user within a preset time length, wherein the sleep information is used for representing the sleep depth of the user.
Step 802, inputting the sleep information into a pre-trained sleep disorder recognition model to obtain a sleep disorder type corresponding to the user and output by the sleep disorder recognition model, wherein the sleep disorder type comprises endogenous sleep disorder, psychiatric sleep disorder or physical disorder sleep disorder.
And 803, matching preset setting information of a linkage scene strategy associated with the sleep disorder type according to the sleep disorder type, wherein the linkage scene strategy is control information of target equipment, and the target equipment at least comprises a mattress.
And 804, setting a linkage scene strategy of the target equipment according to the preset setting information.
And step 805, acquiring the sleep time of the user according to the sleep information.
Because different users have different sleep time, the implementation sets the execution time of the target device according to the sleep time of different users, so as to better achieve the effect of relieving the sleep disorder.
Step 806, setting the sleep time as the execution time of the target device.
In this embodiment, the time when the user falls asleep is obtained according to the sleep information. And setting the sleep time as the execution time of the target equipment. According to the scheme, different execution times are set according to the sleeping habits of different users so as to adapt to the use requirements of different users.
Optionally, on the basis of the embodiment shown in fig. 3, before the obtaining of the sleep information of the user within the preset time duration, the method further includes the following steps, please refer to fig. 9, and fig. 9 shows a schematic flowchart of another setting method of the linkage scenario provided by the present application. Step 901, step 804, and step 805 in this embodiment are the same as step 301, step 303, and step 304 in the embodiment shown in fig. 3, and please refer to the related description of step 301, step 303, and step 304 in the embodiment shown in fig. 3, which is not described herein again.
In step 901, a user group type of a user is identified.
Due to the fact that the user groups are various in types, certain group characteristics and differences exist among different user groups. To improve the recognition accuracy of a sleep disorder recognition model. Therefore, in the embodiment, before the sleep disorder type is identified, the user group type of the user is identified, so that classification and identification are performed according to different user group types. The user population types include but are not limited to gender types and age group types, etc.
Specifically, the user group type includes an age group type, and the identifying the user group type of the user includes the following steps, please refer to fig. 10, and fig. 10 shows a specific schematic flowchart in a setting method of a linkage scenario provided by the present application.
And 9011, acquiring the bed leaving time of the user leaving the mattress each time within a preset time period.
Nocturia is a characteristic of the human body during sleep. The number of nocturia is a characteristic of the population at different ages. For example, normal adults do not get up at night, or the number of nocturia is less than 2. In the elderly, the kidney concentration function decreases with age, and nocturia increases at night due to increased renal blood flow in the recumbent position, resulting in increased nocturia. Therefore, the present embodiment identifies the user population type according to the number of nocturia.
Firstly, the processor acquires the bed leaving time of each time the user leaves the mattress within a preset time period. The preset period may be the entire night period or a certain period of the night.
And 9012, counting the bed leaving times when the bed leaving time exceeds the preset time.
Step 9013, determining the user group type according to the bed leaving times, wherein different age group types correspond to different bed leaving times.
Step 902, obtaining sleep information of a user within a preset time duration, wherein the sleep information is used for representing the sleep depth of the user.
Step 903, inputting the sleep information into the sleep disorder recognition model corresponding to the user group type to obtain the sleep disorder type corresponding to the user output by the sleep disorder recognition model corresponding to the group type.
Step 904, invoking a linkage scene strategy associated with the user information in the sleep state; the linkage scene strategy is preset control information of target equipment, and the target equipment at least comprises the mattress.
Step 905, according to the sleep disorder type, matching preset setting information of a linkage scene strategy associated with the sleep disorder type, wherein the linkage scene strategy is control information of target equipment, and the target equipment at least comprises a mattress.
Step 906, setting a linkage scene strategy of the target device according to the preset setting information.
In the embodiment, the user group type of the user is identified; and inputting the sleep information into a sleep disorder identification model corresponding to the user group type to obtain the sleep disorder type corresponding to the user and output by the sleep disorder identification model corresponding to the group type. According to the scheme, the sleep disorder type is identified according to the sleep disorder identification models corresponding to different user group types, and the identification accuracy of the sleep disorder type is improved.
Fig. 11 illustrates a setting device 11 for an interlocking scene, and fig. 11 illustrates a schematic diagram of the setting device for an interlocking scene, where the setting device for an interlocking scene illustrated in fig. 11 includes:
an obtaining unit 111, configured to obtain sleep information of a user within a preset time duration, where the sleep information is used to indicate a sleep depth of the user;
the identifying unit 112 is configured to input the sleep information into a pre-trained sleep disorder identifying model, so as to obtain a sleep disorder type corresponding to the user and output by the sleep disorder identifying model, where the sleep disorder type includes an endogenous sleep disorder, a psychotic sleep disorder, or a somatic sleep disorder;
a matching unit 113, configured to match preset setting information of a linkage scenario policy associated with the sleep disorder type according to the sleep disorder type, where the linkage scenario policy is control information of a target device, and the target device at least includes a mattress;
and the setting unit 114 is configured to set a linkage scene policy of the target device according to preset setting information.
According to the setting device of the linkage scene, the sleep information of the user in the preset time length is acquired; inputting the sleep information into a pre-trained sleep disorder recognition model to obtain the sleep disorder type corresponding to the user and output by the sleep disorder recognition model; matching preset setting information of a linkage scene strategy associated with the sleep disorder type according to the sleep disorder type; and setting a linkage scene strategy of the target equipment according to the preset setting information. According to the scheme, the sleep disorder type is identified through the sleep information, so that different linkage scene strategies are set according to different sleep disorder types. Linkage scene strategies corresponding to different sleep disorder types can be set without depending on setting of the linkage scene strategies by a user.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.
Fig. 12 shows a schematic view of a mattress provided by an embodiment of the present application. As shown in fig. 12, a mattress 11 of this embodiment includes: bed 121, sensors 122, memory 123, processor 124, computer program 125 stored in said memory 123 and executable on said processor 124, and communication module 126.
A processor 121, a memory 122, and a computer program 125, such as a setup program for a linkage scenario, stored in the memory 123 and executable on the processor 124. The processor 124 executes the computer program 125 to implement the steps in each of the above-mentioned setting method embodiments of linkage scenarios, such as the steps 301 to 304 shown in fig. 3. Alternatively, the processor 124, when executing the computer program 125, implements the functions of the units in the above-described device embodiments, such as the units 101 to 104 shown in fig. 10.
Illustratively, the computer program 125 may be divided into one or more units, which are stored in the memory 123 and executed by the processor 124 to accomplish the present application. The one or more units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program 125 in the type of mattress 11. For example, the computer program 125 may be divided into units with specific functions as follows:
the device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring sleep information of a user within a preset time length, and the sleep information is used for representing the sleep depth of the user;
the recognition unit is used for inputting the sleep information into a pre-trained sleep disorder recognition model to obtain the sleep disorder type corresponding to the user and output by the sleep disorder recognition model, wherein the sleep disorder type comprises endogenous sleep disorder, psychiatric sleep disorder or physical disease sleep disorder;
the matching unit is used for matching preset setting information of a linkage scene strategy associated with the sleep obstacle type according to the sleep obstacle type, the linkage scene strategy is control information of target equipment, and the target equipment at least comprises a mattress;
and the setting unit is used for setting the linkage scene strategy of the target equipment according to preset setting information.
The mattress 11 may include, but is not limited to, a processor 124 and a memory 123. Those skilled in the art will appreciate that fig. 12 is merely an example of one type of mattress 11 and is not intended to limit one type of mattress 11 and may include more or fewer components than shown, or some components may be combined, or different components, for example, the one type of mattress may also include input-output devices, network access devices, buses, etc.
The sensor 122 may be a combination of one or more of a micro-motion sensor, a pressure sensor, a temperature and humidity sensor, a thermal imaging sensor, or an ultrasonic sensor.
The memory 123 may be an internal storage unit of the kind of mattress 11, such as a hard disk or a memory of the kind of mattress 11. The memory 123 may also be an external storage device of the mattress 11, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), etc. provided on the mattress 11. Further, the memory 123 may also include both internal and external memory units of the type of mattress 11. The memory 123 is used for storing the computer program and other programs and data required for the kind of mattress. The memory 123 may also be used to temporarily store data that has been output or is to be output.
The Processor 124 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The communication module 126 is configured to establish a communication connection with a target device to set a linkage scenario policy of the target device.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed mattress and method may be implemented in other ways. For example, the mattress embodiments described above are merely illustrative, and for example, the division of the modules or units is merely a logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow in the method of the embodiments described above can be realized by a computer program, which can be stored in a computer-readable storage medium and can realize the steps of the embodiments of the methods described above when the computer program is executed by a processor. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.
Claims (10)
1. A setting method of a linkage scene is characterized by comprising the following steps:
acquiring sleep information of a user within a preset time length, wherein the sleep information is used for representing the sleep depth of the user;
inputting the sleep information into a pre-trained sleep disorder recognition model to obtain the sleep disorder type corresponding to the user and output by the sleep disorder recognition model, wherein the sleep disorder type comprises endogenous sleep disorder, mental disease sleep disorder or physical disease sleep disorder;
according to the sleep disorder type, preset setting information of a linkage scene strategy associated with the sleep disorder type is matched, the linkage scene strategy is control information of target equipment, and the target equipment at least comprises a mattress;
and setting a linkage scene strategy of the target equipment according to the preset setting information.
2. The method of claim 1, wherein the sleep information comprises a sleep profile;
the acquiring of the sleep information of the user within the preset time includes:
acquiring the corresponding sleep depths of the user at different moments according to a preset sampling frequency;
and generating the sleep curve graph according to the different moments and the sleep depths corresponding to the different moments.
3. The method of claim 2, wherein the inputting the sleep information into a pre-trained sleep disorder recognition model to obtain the type of sleep disorder corresponding to the user output by the sleep disorder recognition model comprises:
and inputting the sleep curve graph into a pre-trained sleep disorder recognition model to obtain the sleep disorder type corresponding to the user and output by the sleep disorder recognition model.
4. The method of claim 3, wherein before the inputting the sleep profile into a pre-trained sleep disorder recognition model to obtain the user's corresponding sleep disorder type output by the sleep disorder recognition model, further comprises:
obtaining a plurality of sample data, wherein the sample data comprises a sample sleep curve graph and a sleep disorder type corresponding to the sample sleep curve graph;
inputting the sample sleep curve graph into an initial image recognition model to obtain a recognition result;
comparing the identification result with the sleep disorder type corresponding to the sample sleep curve graph to obtain a comparison result;
and adjusting parameters in the initial image recognition model according to the comparison result to obtain the pre-trained sleep disorder recognition model.
5. The method of claim 1, further comprising, after the setting of the linkage scenario policy of the target device according to the linkage scenario setting information:
acquiring the sleep time of the user according to the sleep information;
and setting the sleep time as the execution time of the target equipment.
6. The method of claim 1, before the obtaining the sleep information of the user within a preset time period, further comprising:
identifying a user group type of a user;
the step of inputting the sleep information into a pre-trained sleep disorder recognition model to obtain the sleep disorder type corresponding to the user and output by the sleep disorder recognition model comprises:
and inputting the sleep information into a sleep disorder identification model corresponding to the user group type to obtain the sleep disorder type corresponding to the user and output by the sleep disorder identification model corresponding to the group type.
7. The method of claim 6, wherein the user population type comprises an age group type;
the identifying the user group type of the user comprises the following steps:
acquiring the bed leaving time of a user leaving the mattress each time within a preset time period;
counting the bed leaving times of the bed leaving time length exceeding the preset time length;
and determining the user group type according to the bed leaving times, wherein different age bracket types correspond to different bed leaving times.
8. A setting device of linkage scene, its characterized in that, the setting device includes:
the device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring sleep information of a user within a preset time length, and the sleep information is used for representing the sleep depth of the user;
the recognition unit is used for inputting the sleep information into a pre-trained sleep disorder recognition model to obtain the sleep disorder type corresponding to the user and output by the sleep disorder recognition model, wherein the sleep disorder type comprises endogenous sleep disorder, psychiatric sleep disorder or physical disease sleep disorder;
the matching unit is used for matching preset setting information of a linkage scene strategy associated with the sleep obstacle type according to the sleep obstacle type, the linkage scene strategy is control information of target equipment, and the target equipment at least comprises a mattress;
and the setting unit is used for setting the linkage scene strategy of the target equipment according to preset setting information.
9. A mattress comprising a bed, sensors, a communication module, a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
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