Intelligent bed control method, device and equipment and storage medium

Abstract

The invention discloses an intelligent bed control method, device and equipment and a storage medium. According to the intelligent bed control method, the intelligent bed is controlled to adjust the posture of the bed body based on the target eye yoga content selected by the service object so as to assist the service object in executing the target eye yoga content; obtaining intraocular pressure monitoring data collected by intraocular pressure monitoring equipment in real time; and after the target eye yoga content is completed, controlling the intelligent bed to adjust the posture of the bed body according to the intraocular pressure monitoring data. According to the intelligent bed control method, the intelligent bed is controlled to adjust the posture of the bed body based on the target eye yoga content, a bed body auxiliary function for eye relaxation is provided for the service object, and the service object can be helped to better complete the body type so as to effectively relieve eye fatigue; after the target eye yoga content is completed, the intelligent bed is controlled to adjust the posture of the bed body according to the intraocular pressure monitoring data, the service object is further helped to be adjusted to the comfortable prone posture suitable for the eye health condition, and therefore the more continuous and more effective eye relaxing effect is achieved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent technologies, and in particular, to an intelligent bed control method, device, equipment, and storage medium. Background Art

[0002] In modern society, the number of people using electronic devices for a long time is increasing day by day, and many people are facing problems of eye fatigue and stress. Excessive eye pressure not only affects eyesight, but may also cause a series of health problems such as headache, red eyes, and neck discomfort.

[0003] Currently, some yoga poses and lying postures have been proven to have the effect of reducing intraocular pressure. However, the effect of relieving eye pressure by yoga poses alone is limited, and it is necessary to cooperate with lying postures to effectively relieve eye pressure. However, it is difficult for users to actively perceive eye pressure and relieve eye pressure by adjusting lying postures. Summary of the Invention

[0004] The present invention provides an intelligent bed control method, device, equipment, and storage medium to solve the problem that it is difficult for users to actively perceive eye pressure and relieve eye pressure by adjusting lying postures.

[0005] In a first aspect, an embodiment of the present invention provides an intelligent bed control method, which is applied to a terminal device communicatively connected to an intelligent bed, and the terminal device is communicatively connected to an intraocular pressure monitoring device worn by a service object. The method includes:

[0006] Based on the target eye yoga content selected by the service object, controlling the intelligent bed to adjust the bed body posture to assist the service object in performing the target eye yoga content;

[0007] Obtaining the intraocular pressure monitoring data collected in real time by the intraocular pressure monitoring device;

[0008] After the target eye yoga content is completed, controlling the intelligent bed to adjust the bed body posture according to the intraocular pressure monitoring data.

[0009] In a second aspect, an embodiment of the present invention provides an intelligent bed control device, which is applied to a terminal device communicatively connected to an intelligent bed, and the terminal device is communicatively connected to an intraocular pressure monitoring device worn by a service object. The device includes:

[0010] A first bed body posture adjustment module, configured to control the intelligent bed to adjust the bed body posture based on the target eye yoga content selected by the service object to assist the service object in performing the target eye yoga content;

[0011] An intraocular pressure data acquisition module, configured to acquire the intraocular pressure monitoring data collected in real time by the intraocular pressure monitoring device;

[0012] The second bed body attitude adjustment module is used to control the intelligent bed to adjust the bed body attitude according to the intraocular pressure monitoring data after the target eye yoga content is completed.

[0013] In a third aspect, an embodiment of the present invention provides a terminal device, which includes:

[0014] At least one processor;

[0015] And a memory communicatively connected to the at least one processor;

[0016] Wherein, the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the intelligent bed control method according to any embodiment of the present invention.

[0017] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, which stores computer instructions for causing a processor to implement the intelligent bed control method according to any embodiment of the present invention when executed.

[0018] The technical solution of the embodiment of the present invention controls the intelligent bed to adjust the bed body attitude based on the target eye yoga content selected by the service object to assist the service object in executing the target eye yoga content; obtains the intraocular pressure monitoring data collected in real time by the intraocular pressure monitoring device; after the target eye yoga content is completed, controls the intelligent bed to adjust the bed body attitude according to the intraocular pressure monitoring data. This intelligent bed control method provides a bed body assistance function for eye relaxation for the service object by controlling the intelligent bed to adjust the bed body attitude based on the target eye yoga content, helping the service object to better complete the poses to effectively relieve eye fatigue; after the target eye yoga content is completed, controlling the intelligent bed to adjust the bed body attitude according to the intraocular pressure monitoring data further helps the service object to adjust to a comfortable lying position suitable for the eye health condition, so as to achieve a more continuous and effective eye relaxation effect.

[0019] It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present invention, nor is it used to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. Description of the Drawings

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0021] Figure 1 The flowchart of an intelligent bed control method provided by an embodiment of the present invention;

[0022] Figure 2 The structural schematic diagram of an intelligent bed control device provided by an embodiment of the present invention;

[0023] Figure 3 The structural schematic diagram of a terminal device that can be used to implement the embodiments of the present invention is shown. Detailed implementation manners

[0024] In order to enable those skilled in the art of the present technology to better understand the solution of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0025] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and do not necessarily need to be used to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0026] It should be noted that some yoga postures and lying postures have been proven to have the effect of reducing intraocular pressure. However, the effect of relieving eye pressure by yoga postures alone is limited, and it is necessary to cooperate with lying postures to effectively relieve eye pressure. However, in the sleep state, it is difficult for users to actively perceive eye pressure and relieve eye pressure by adjusting the lying posture.

[0027] Based on this, an embodiment of the present invention provides an intelligent bed control method, which is applied to a terminal device communicatively connected to an intelligent bed, and the terminal device is communicatively connected to an intraocular pressure monitoring device worn by a service object. Figure 1The following is a flowchart of an intelligent bed control method provided by an embodiment of the present invention. The embodiment of the present invention is applicable to scenarios where an intelligent bed is used to help users relieve eye pressure before going to bed and during sleep. This method can be executed by an intelligent bed control device, which can be implemented in the form of software and / or hardware. Optionally, it can be implemented through a terminal device, which is preferably a mobile terminal, a laptop computer, or an intelligent terminal on the intelligent bed, etc.

[0028] As Figure 1 shown, the intelligent bed control method provided by the embodiment of the present invention specifically may include:

[0029] S101. Based on the target eye yoga content selected by the service object, control the intelligent bed to adjust the bed body posture to assist the service object in performing the target eye yoga content.

[0030] Among them, the service object can be considered as the user who triggers the control of the intelligent bed or the user served by the intelligent bed. The eye yoga content can be understood as yoga content provided to the service object for relieving eye pressure, which can be in the form of pictures, texts, or videos, etc. For the eye yoga content in the form of pictures and texts, it can be specific posture diagrams and text descriptions, and the text descriptions can be posture names and precautions, etc.; for the eye yoga content in the form of videos, it can include one or more postures, and there can be a certain interval time between each posture. The eye yoga content can be displayed on the service terminal interface with application software, mini-programs, websites, etc. as carriers for the service object to operate. The target eye yoga content can be understood as the eye yoga content selected by the service object.

[0031] In this embodiment, in response to identifying the target eye yoga content selected by the service object on the terminal device communicatively connected to the intelligent bed, determine the corresponding bed body adjustment parameters or bed body modes based on the target eye yoga content; control the intelligent bed to adjust the bed body posture according to the bed body adjustment parameters or bed body modes, so that the adjusted bed body posture can help the service object better perform the target eye yoga content.

[0032] S102. Obtain the intraocular pressure monitoring data collected in real time by the intraocular pressure monitoring device.

[0033] Among them, the intraocular pressure monitoring data can be understood as data reflecting the intraocular pressure. It can be understood that excessive eye pressure not only affects eyesight, but may also cause a series of health problems such as headache, red eyes, and neck discomfort. Severe excessive intraocular pressure may even cause diseases such as glaucoma.

[0034] In this embodiment, the intraocular pressure monitoring device can be a patchable pressure sensor, an implantable sensor, or a contact lens with a sensor, etc., which can collect eye pressure data in real time. The terminal device can obtain the intraocular pressure monitoring data collected by the intraocular pressure monitoring device in real time.

[0035] In an optional embodiment, when the terminal device detects that the obtained intraocular pressure monitoring data is higher than the set pressure threshold, it may generate a reminder message based on the intraocular pressure monitoring data and send out the reminder message. Among them, the pressure threshold may be set according to medical standards or doctor's advice, or may be customized by the service object according to their own needs or physical conditions, and is used to determine whether the intraocular pressure is within the normal range. The reminder message may include the eye pressure data, pressure threshold, recommended yoga poses to adjust (such as meditation, Sun Salutation, Legs Up the Wall Pose, etc.) and yoga poses to avoid (such as Headstand, Bhastrika Pranayama, Pranayama, etc.) at the current moment or during the current period. The way of sending the reminder message may be through the associated software on the terminal device, text message, built-in alarm sound or vibration, etc.

[0036] S103. After the target eye yoga content is completed, control the intelligent bed to adjust the bed body posture according to the intraocular pressure monitoring data.

[0037] Specifically, after the target eye yoga content is completed, the service object may expect to enter a relaxation or sleep state, but the intraocular pressure of the service object may not necessarily be within the normal intraocular pressure range only by doing eye yoga. Therefore, according to the different ranges of the intraocular pressure, further determine the corresponding bed body adjustment parameters or bed body modes according to the obtained intraocular pressure monitoring data, and control the intelligent bed to adjust the bed body posture according to the bed body adjustment parameters or bed body modes, so as to help the intraocular pressure of the service object be within the normal intraocular pressure range in the relaxation state or sleep state by adjusting to different bed body postures.

[0038] Exemplarily, obtain the average value of the intraocular pressure monitoring data within a preset time (for example, within one minute) after the target eye yoga content is completed. If the intraocular pressure monitoring data is within the normal intraocular pressure range, the intelligent bed can be controlled to flatten the bed body; if the intraocular pressure monitoring data is within the high intraocular pressure range, the intelligent bed can be controlled to adjust the bed body posture according to the preset mode or preset adjustment parameters. The preset mode or preset adjustment parameters may be modes or parameters for relieving intraocular pressure preset by the system or the user.

[0039] Exemplarily, after the target eye yoga content is completed, control the bed body to be flattened to guide the service object to enter the sleep state or relaxation state. After the service object enters the sleep state or relaxation state, the intraocular pressure monitoring data can be continuously obtained. If the intraocular pressure monitoring data is within the high intraocular pressure range, the intelligent bed can be controlled to adjust the bed body posture according to the preset mode or preset adjustment parameters, such as controlling the intelligent bed to raise the head of the bed.

[0040] An intelligent bed control method provided by an embodiment of the present invention controls an intelligent bed to adjust the bed body posture based on the target eye yoga content selected by the service object, so as to assist the service object to perform the target eye yoga content; obtains the intraocular pressure monitoring data collected in real time by the intraocular pressure monitoring device; after the target eye yoga content is completed, controls the intelligent bed to adjust the bed body posture according to the intraocular pressure monitoring data. This intelligent bed control method provides a bed body assistance function for eye relaxation for the service object by controlling the intelligent bed to adjust the bed body posture based on the target eye yoga content, helping the service object to better complete the poses to effectively relieve eye fatigue; after the target eye yoga content is completed, controlling the intelligent bed to adjust the bed body posture according to the intraocular pressure monitoring data further helps the service object to adjust to a comfortable lying posture suitable for the eye health condition, so as to achieve a more continuous and effective eye relaxation effect.

[0041] As a first alternative embodiment of this embodiment, on the basis of the above embodiment, the controlling the intelligent bed to adjust the bed body posture according to the intraocular pressure monitoring data can be specifically implemented as the following steps:

[0042] a1) If the first intraocular pressure monitoring data after the end of the target eye yoga content is within the normal intraocular pressure range, control the intelligent bed to adjust to the first bed body posture.

[0043] Among them, the first intraocular pressure monitoring data can be understood as the intraocular pressure monitoring data obtained after the end of the target eye yoga content, which can be the intraocular pressure monitoring data at a certain time point or the average value of the intraocular pressure monitoring data within a certain time period, used to judge the effectiveness of the target eye yoga content in relieving intraocular pressure and provide data support for the subsequent adjustment of the bed body posture. The first bed body posture can be the default bed body posture of the intelligent bed, or the bed body posture corresponding to the user's preferred human sleep posture, such as the flat bed body posture. The normal intraocular pressure range can be understood as the range of normal intraocular pressure values. The normal intraocular pressure range can be set by the system according to medical standards or doctor's suggestions (such as 10 - 21 mmHg), or can be customized by the service object according to their own needs or physical conditions (such as 10 - 18 mmHg).

[0044] In this embodiment, obtain the first intraocular pressure monitoring data after the end of the target eye yoga content. If the first intraocular pressure monitoring data is within the normal intraocular pressure range, the bed body adjustment parameters or bed body mode corresponding to the normal intraocular pressure range can be determined, and the bed body adjustment parameters or bed body mode are sent to the intelligent bed to control the intelligent bed to adjust the bed body posture to the first bed body posture according to the bed body adjustment parameters or bed body mode.

[0045] Exemplarily, the service object performs the target eye yoga content before going to bed. When the first intraocular pressure monitoring data obtained after the target eye yoga content ends is within the normal intraocular pressure range, the corresponding bed mode of the normal intraocular pressure range can be the flat mode. By sending the flat mode to the smart bed to control the bed posture of the smart bed to be adjusted to the first flat bed posture, the service object can be guided into the sleep state.

[0046] In an alternative embodiment, after controlling the bed posture of the smart bed to be adjusted to the first bed posture, continuously obtain intraocular pressure monitoring data during sleep. If the intraocular pressure monitoring data is within the high intraocular pressure range, control the smart bed to adjust the bed posture from the first bed posture to other bed postures that can help relieve intraocular pressure, such as the second bed posture or the third bed posture. The specific adjustment plan can be determined according to the actual situation or the intraocular pressure monitoring data, and this embodiment does not make any restrictions.

[0047] b1) If the first intraocular pressure monitoring data is within the high intraocular pressure range, control the smart bed to be adjusted to the second bed posture, and control the bed posture of the smart bed according to the second intraocular pressure monitoring data monitored during sleep.

[0048] Among them, the second bed posture can be understood as the bed posture corresponding to the human body sleep posture that can relieve intraocular pressure, such as the head of the bed being raised by 20 degrees. The second intraocular pressure monitoring data can be considered as the intraocular pressure monitoring data obtained during sleep after controlling the bed posture of the smart bed to be adjusted to the second bed posture according to the first intraocular pressure monitoring data, which provides data support for subsequent adjustment of the bed posture. The high intraocular pressure range can be understood as the range where the intraocular pressure is higher than the normal intraocular pressure range.

[0049] In this embodiment, if the first intraocular pressure monitoring data is within the high intraocular pressure range, determine the bed adjustment parameter or bed mode corresponding to the high intraocular pressure range of the first intraocular pressure monitoring data, and send the corresponding bed adjustment parameter or bed mode to the smart bed to control the smart bed to adjust the bed posture to the second bed posture, so as to further relieve the eye pressure. In order to avoid affecting the service object's falling asleep, after detecting that the service object is in the sleep state, control the bed to adjust the bed posture according to the second intraocular pressure monitoring data obtained during sleep.

[0050] Exemplarily, if the first intraocular pressure monitoring data is within the high intraocular pressure range, determine that the corresponding head-up mode is the first head-up mode, and send the first head-up mode to the smart bed, so that the smart bed adjusts the bed posture to the head of the bed being raised by 20 degrees according to the first head-up mode.

[0051] In the above technical solution of this embodiment, when the first intraocular pressure monitoring data is within the normal intraocular pressure range, the bed posture is adjusted to the first bed posture to ensure that the service object with normal intraocular pressure is in the most comfortable lying posture; when the first intraocular pressure monitoring data is within the high intraocular pressure range, the bed posture is adjusted to the second bed posture that has a relieving effect on intraocular pressure, thereby helping the service object to further relieve eye pressure by adjusting the lying posture.

[0052] As one implementation manner, on the basis of the above embodiment, this alternative embodiment can further specifically implement controlling the intelligent bed to adjust the bed posture according to the second intraocular pressure monitoring data monitored during sleep as follows:

[0053] b11) Obtain the sleep state determined by the intelligent bed.

[0054] Among them, the sleep state may include light sleep state, deep sleep state, rapid eye movement sleep state, and awake state.

[0055] In this embodiment, obtaining the sleep state determined by the intelligent bed, the sleep state may be a light sleep state, a deep sleep state, a rapid eye movement sleep state, or an awake state. The specific implementation manner for the intelligent bed to determine the sleep state may be to collect various physiological data during sleep in real time through monitoring sensors set on the intelligent bed, such as heart rate, breathing rate, body movement, blood oxygen saturation, etc. Then, through built-in algorithms (such as the cardiorespiratory coupling algorithm), it is analyzed and judged which sleep state the service object is in. For example, if the heart rate drops, breathing is stable, and body movement decreases, it can be determined that the service object is in a deep sleep state.

[0056] It can be understood that there are multiple sleep cycles during sleep, and there can be a period of deep sleep state in each sleep cycle.

[0057] b12) If the second intraocular pressure monitoring data corresponding to the deep sleep state is within the high intraocular pressure range, control the intelligent bed to adjust to the third bed posture.

[0058] Among them, the third bed posture can be understood as a bed posture that has a greater effect on relieving intraocular pressure than the second bed posture, such as raising the head of the bed by 30 degrees.

[0059] In this embodiment, when the service object is in a deep sleep state, it is less likely to be awakened by the bed posture adjustment action. Therefore, when it is determined that the sleep state of the service object is in the deep sleep state, it can be determined whether the second intraocular pressure monitoring data in the deep sleep state is within the range of high intraocular pressure. If the second intraocular pressure monitoring data is within the range of high intraocular pressure, determine the bed adjustment parameters or bed modes corresponding to the second intraocular pressure monitoring data being within the range of high intraocular pressure, send the bed adjustment parameters or bed modes to the intelligent bed, and control the intelligent bed to adjust the bed posture to the third bed posture. After adjusting the bed posture, judge whether the service object is in the deep sleep state again in a new sleep cycle according to the sleep state determined by the intelligent bed. If the second intraocular pressure monitoring data corresponding to the sleep state being in the deep sleep state again is still within the range of high intraocular pressure, continue to control the bed posture of the intelligent bed to be adjusted to (i.e., maintained at) the third bed posture. And repeat the process of judging whether the corresponding second intraocular pressure monitoring data is within the range of high intraocular pressure when the next sleep state is in the deep sleep state. If it is, continue to control the bed posture of the intelligent bed to be adjusted to the third bed posture.

[0060] b13) Until the second intraocular pressure monitoring data is within the range of normal intraocular pressure, control the intelligent bed to be adjusted to the first bed posture.

[0061] In this embodiment, when the second intraocular pressure monitoring data corresponding to the sleep state being in the deep sleep state is within the range of normal intraocular pressure, control the bed posture of the intelligent bed to be adjusted to the first bed posture to adjust the service object to the most comfortable lying posture during sleep.

[0062] With the above technical solution of this embodiment, by continuously monitoring the second intraocular pressure monitoring data in the deep sleep state and adjusting the bed posture according to the second intraocular pressure monitoring data in the deep sleep state, the impact on the sleep quality and continuity of the service object is reduced, and the service object is flexibly adjusted to a more suitable and healthier lying posture during the entire sleep process, further enhancing the effect of relieving eye pressure and better protecting eye health.

[0063] In an alternative embodiment, on the basis of the above implementation manner, it further includes:

[0064] b14) Generate a first feedback message according to the first intraocular pressure monitoring data and the third intraocular pressure monitoring data monitored before the execution of the target eye yoga content, and display the first feedback message in the sleep report.

[0065] Among them, the third intraocular pressure monitoring data can be understood as the intraocular pressure monitoring data obtained before the execution of the target eye yoga content. The first feedback message can be considered as the information reflecting the influence of the eye yoga content on the eye pressure, and is used to help the service object determine the eye yoga content more suitable for their own situation.

[0066] In this embodiment, first feedback information that can reflect the impact of performing the target eye yoga content on eye pressure is generated based on the first eye pressure monitoring data and the third eye pressure monitoring data, and the first feedback information is displayed in the sleep report. The first feedback information may include a judgment result on the effect of the target eye yoga content on eye pressure. For example, when the difference between the first eye pressure monitoring data and the third eye pressure monitoring data is greater than the set threshold, the judgment result is that the effect is obvious; when it is less than the set threshold, the judgment result is that the effect is not obvious. The specific judgment method is not limited in this embodiment. According to the judgment result, it is recommended that the service object continue to select the target eye yoga content to relieve eye pressure.

[0067] b15) If the duration for which the second eye pressure monitoring data is within the high eye pressure range exceeds the preset time, second feedback information is generated and displayed in the sleep report.

[0068] Among them, the second feedback information can be understood as feedback information for reminding that the eye pressure remains too high and is difficult to relieve. The duration can be understood as the time length from the first acquisition to the current acquisition of the second eye pressure monitoring data, or the number of sleep cycles between the first acquisition and the current acquisition.

[0069] In this embodiment, if the duration for which the second eye pressure monitoring data is within the high eye pressure range exceeds the preset time, indicating that the eye pressure is higher than the normal value during multiple deep sleep states, second feedback information can be generated based on the second eye pressure monitoring data and the duration and displayed in the sleep report to give a health warning to the service object and prompt the service object to seek medical treatment.

[0070] Exemplarily, the preset time is one sleep cycle. If the second eye pressure monitoring data corresponding to the deep sleep states in the first to third sleep cycles are all within the high eye pressure range, second feedback information is generated.

[0071] Through the above technical solutions of this embodiment, by generating the first feedback information and displaying it in the sleep report, the service object is effectively guided to determine the eye yoga content that is more suitable for their own situation; by generating the second feedback information and displaying it in the sleep report, the prompt for the high eye pressure situation of the service object is realized, improving the user experience.

[0072] As the second alternative embodiment of this embodiment, controlling the intelligent bed to adjust the bed body posture based on the target eye yoga content selected by the service object can be specifically optimized into the following steps:

[0073] a2) In response to the triggering operation of the service object on the displayed eye yoga mode, the database is called to obtain the eye yoga content, and the eye yoga content is displayed.

[0074] Among them, the triggering operation may be an interactive operation such as clicking or swiping.

[0075] In this embodiment, the eye yoga mode can be displayed to the service object through the display screen of the terminal device communicatively connected to the intelligent bed. When a trigger operation on the displayed eye yoga mode is received from the service object, the trigger operation is responded to, the trigger operation is recognized, and a database containing multiple yoga poses is called to obtain the eye yoga content corresponding to the trigger operation, which is then displayed on the terminal device.

[0076] In an alternative embodiment, the service object can upload video-type eye yoga content to the database, and the eye yoga poses included in the eye yoga content are those already configured in the database.

[0077] b2) In response to the trigger operation of the service object on the displayed eye yoga content, determine the target eye yoga content.

[0078] In this embodiment, the trigger operation of the service object on the eye yoga content is received, the trigger operation is responded to and the target eye yoga content corresponding to the trigger operation is recognized. Multiple target eye yoga contents can be determined based on multiple trigger operations, and the execution order of each target eye yoga content is determined according to the trigger order.

[0079] c2) Determine the limb movement information according to the target eye yoga content.

[0080] Among them, the limb movement information can be understood as the limb movements included in the target eye yoga content and / or the relevant execution information of the limb movements.

[0081] In this embodiment, the limb movement information corresponding to the target eye yoga content is determined by parsing the target eye yoga content or by using a look-up table method.

[0082] Exemplarily, when the target eye yoga content is a video, a video can contain one or more limb movements, and the limb movement information corresponding to the video can be determined by extracting the subtitles, voices or limb movement images representing time nodes in the video.

[0083] d2) Control the intelligent bed to adjust the bed posture according to the bed adjustment parameters corresponding to the limb movement information.

[0084] Among them, the bed adjustment parameters can be understood as the parameters for adjusting the bed posture. Exemplarily, the bed adjustment parameters can include the adjustment parameters of one or more bed components. For example, the bed components can be the head of the bed and the foot of the bed, etc.; the adjustment parameters can include angles and heights.

[0085] In this embodiment, the corresponding bed adjustment parameters are determined according to the limb movement information, and the bed adjustment parameters are sent to the smart bed, so that the smart bed controls the bed to adjust to the corresponding bed posture according to the received bed adjustment parameters.

[0086] Exemplarily, if the limb movement included in the limb movement information is that the legs are raised against the wall, the corresponding bed adjustment parameter can be that the foot of the bed is raised by 90 degrees.

[0087] In the above technical solution of this embodiment, by obtaining and displaying the eye yoga content corresponding to the triggering operation of the eye yoga mode, targeted service content is provided for the service object; by determining the bed adjustment parameters according to the limb movement information corresponding to the target eye yoga content, the smart bed can continuously provide adapted bed postures for multiple target eye yoga contents or target eye yoga contents including multiple limb movements, ensuring the convenience and continuity of the service object's execution of the target eye yoga content, thereby helping the service object to better complete the poses and avoid injuries, and meeting the user's eye health needs.

[0088] As one implementation manner, the limb movement information includes at least one of the following: limb movement, the execution order of the limb movement, and the execution time of the limb movement.

[0089] Among them, the execution time of the limb movement can be understood as the time from the execution of the current limb movement to the execution of the next limb movement. Exemplarily, the execution time of the limb movement can only include the holding time, or can include the holding time and the interval time. The holding time can be considered as the time for executing the current limb movement. For example, holding the downward-facing dog pose for 5 minutes, and 5 minutes is the holding time. The interval time can be understood as the time from the completion of the execution of the current limb movement to the start of the execution of the next limb movement, which can be the time required for the bed posture adjustment, or a rest time configured by the system initially or customized by the service object that is greater than the time required for the bed posture adjustment. Exemplarily, in the target eye yoga content of the video type, there are multiple limb movements, and there is an interval time of 5 - 10 minutes between each limb movement.

[0090] Exemplarily, when the target eye yoga content is a single graphic or text, the limb movement information can only include the limb movement; when the target eye yoga content includes multiple limb movements, the limb movement information can include the limb movement, the execution order of the limb movement, and the execution time of the limb movement, etc. It can be understood that the limb movement information can only include the main limb movements, for example, it does not include the limb movements related to the starting and ending poses.

[0091] Correspondingly, in this alternative embodiment, the controlling the smart bed to adjust the bed posture according to the bed adjustment parameters corresponding to the limb movement information can be further specified as the following content:

[0092] a3) Determine the bed body attitude parameters corresponding to each of the limb movements, where the bed body attitude parameters include: the adjusted height of the bed body and / or the adjusted angle of the bed body.

[0093] In this embodiment, the bed body attitude parameters corresponding to each limb movement information can be determined by looking up a mapping table or analyzing the limb movements.

[0094] In an alternative embodiment, one limb movement information in the mapping table corresponds to multiple bed body attitude parameters, and each bed body attitude parameter corresponds to a different difficulty level. By obtaining the difficulty level selected by the user (such as beginner, intermediate, advanced, etc.), the bed body attitude parameters corresponding to the limb movement information are determined. Exemplarily, when the limb movement is the legs-up-against-the-wall pose, when the difficulty level selected by the user is beginner, the corresponding bed body adjustment parameter can be the foot of the bed being raised by 50 degrees; when the difficulty level is intermediate, the corresponding bed body adjustment parameter can be the foot of the bed being raised by 75 degrees; when the difficulty level is advanced, the corresponding bed body adjustment parameter can be the foot of the bed being raised by 90 degrees.

[0095] b3) Determine the bed body attitude holding time according to the execution time of each of the limb movements.

[0096] Among them, the bed body attitude holding time can be understood as the time when the intelligent bed needs to keep the current bed body attitude parameters unchanged, that is, not execute other bed body attitude parameters.

[0097] In this embodiment, the specific implementation manner of determining the bed body attitude holding time according to the execution time of the limb movement can be: if the execution time only includes the holding time and does not include the interval time, then determine that the bed body attitude holding time is equal to the execution time; if the execution time includes the holding time and the interval time, then determine that the bed body attitude holding time is equal to the holding time.

[0098] c3) Sort and combine the bed body attitude parameters and the bed body attitude holding times according to the execution order of each of the limb movements to obtain the bed body adjustment parameters.

[0099] In this embodiment, sort the bed body attitude parameters and the bed body attitude holding times corresponding to each of the limb movements according to the execution order of each limb movement, and combine the bed body attitude parameters and the bed body attitude holding times in the corresponding order, so as to obtain the bed body adjustment parameters corresponding to each limb movement information, and integrate the bed body adjustment parameters as the bed body adjustment parameters.

[0100] d3) Send the bed body adjustment parameters to the intelligent bed to control the intelligent bed to adjust the bed body attitude according to the bed body adjustment parameters.

[0101] In the above technical solution of this embodiment, by determining the attitude parameters of each bed body according to each body movement, determining the holding time of each bed body attitude according to the execution time of each body movement, sorting and combining each bed body attitude parameter and each bed body attitude holding time according to the execution order of each body movement, obtaining the bed body adjustment parameter and sending it to the intelligent bed, the precise control of the bed body attitude according to the body movement information is realized, so that the bed body attitude can cooperate with the target eye yoga content including multiple body movements, thereby helping the service object to complete the poses continuously and better, improving the user experience, and meeting the health needs of the user.

[0102] As another implementation manner, after determining the body movement information according to the target eye yoga content, it further includes.

[0103] a4) When the data type of the target eye yoga content is text and picture, determine the playing parameters of the text and picture corresponding to the body movement according to the execution order and the execution time of the body movement.

[0104] Among them, the playing parameters may include the playing order and the holding playing duration of each text and picture.

[0105] In this embodiment, when the data type of the target eye yoga content is text and picture, determine the execution order of the text and picture corresponding to the body movement according to the execution order of the body movement; determine the holding playing time of the text and picture according to the execution time of the body movement. And determine the playing order and the holding playing duration as the playing parameters of the text and picture corresponding to the body movement.

[0106] The specific implementation manner of determining the holding playing time of the text and picture according to the execution time of the body movement may be that if the execution time of the body movement only includes the holding time and does not include the interval time, determine that the holding playing time is equal to the execution time, and if the execution time of the body movement includes the holding time and the interval time, determine that the holding playing time is equal to the holding time.

[0107] b4) Play the target eye yoga content according to the playing parameters.

[0108] In this embodiment, play the target eye yoga content in sequence according to the playing order in the playing parameters, and switch to the next target eye yoga content after the playing duration of the current target eye yoga content ends.

[0109] Exemplarily, the playback sorting of each target eye yoga content is determined according to the playback order in the playback parameters. After the playback duration of the target eye yoga content ranked first is timed out, the target eye yoga content ranked second is switched. After the playback duration of the target eye yoga content ranked second is timed out, the target eye yoga content ranked third is switched until all target eye yoga contents are played.

[0110] A specific implementation method for timing the playback duration of the current target eye yoga content can be that if the execution time does not include an interval time, the timing of the holding playback time of the current target eye yoga content starts after it is determined that the bed posture is adjusted to be consistent with the bed adjustment parameters corresponding to the current target eye yoga content; if the execution time includes an interval time, the calculation of the holding playback time of the current target eye yoga content starts after the interval time is timed out.

[0111] With the above technical solution of this embodiment, by determining the playback parameters of the graphics and texts according to the execution order and execution time of the limb movements, and playing the target eye yoga content according to the playback parameters, the synchronous cooperation between the bed posture control and the target eye yoga content playback control is realized, improving the user experience.

[0112] Figure 2 FIG. is a schematic structural diagram of an intelligent bed control device provided by an embodiment of the present invention. The device is applied to a terminal device communicatively connected to an intelligent bed, and the terminal device is communicatively connected to an intraocular pressure monitoring device worn by a service object. As Figure 2 shown, the device includes: a first bed posture adjustment module 21, an intraocular pressure data acquisition module 22, and a second bed posture adjustment module 23, wherein,

[0113] The first bed posture adjustment module 21 is configured to control the intelligent bed to adjust the bed posture based on the target eye yoga content selected by the service object to assist the service object in performing the target eye yoga content;

[0114] The intraocular pressure data acquisition module 22 is configured to acquire the intraocular pressure monitoring data collected in real time by the intraocular pressure monitoring device;

[0115] The second bed posture adjustment module 23 is configured to control the intelligent bed to adjust the bed posture according to the intraocular pressure monitoring data after the target eye yoga content is completed.

[0116] An intelligent bed control device provided by an embodiment of the present invention controls the intelligent bed to adjust the bed body posture based on the target eye yoga content selected by the service object, so as to assist the service object to execute the target eye yoga content; obtains the intraocular pressure monitoring data collected in real time by the intraocular pressure monitoring device; after the target eye yoga content is completed, controls the intelligent bed to adjust the bed body posture according to the intraocular pressure monitoring data. By controlling the intelligent bed to adjust the bed body posture based on the target eye yoga content, the intelligent bed control device provides a bed body assistance function for eye relaxation for the service object, helps the service object to better complete the poses to effectively relieve eye fatigue; after the target eye yoga content is completed, controls the intelligent bed to adjust the bed body posture according to the intraocular pressure monitoring data, so as to help the service object adjust to a comfortable lying posture suitable for the eye health condition.

[0117] Further, the second bed body posture adjustment module 23 may specifically include:

[0118] The first posture control unit is configured to control the intelligent bed to adjust to the first bed body posture if the first intraocular pressure monitoring data after the end of the target eye yoga content is within the normal intraocular pressure range;

[0119] The second posture control unit is configured to control the intelligent bed to adjust to the second bed body posture if the first intraocular pressure monitoring data is within the high intraocular pressure range, and control the intelligent bed to adjust the bed body posture according to the second intraocular pressure monitoring data monitored during the sleep process.

[0120] Further, the second posture control unit may specifically include:

[0121] The sleep state determination unit is configured to obtain the sleep state determined by the intelligent bed;

[0122] The first posture control subunit is configured to control the intelligent bed to adjust to the third bed body posture if the second intraocular pressure monitoring data corresponding to the deep sleep state is within the high intraocular pressure range;

[0123] The second posture control subunit is configured to control the intelligent bed to adjust to the first bed body posture until the second intraocular pressure monitoring data is within the normal intraocular pressure range.

[0124] Further, the second posture control unit further includes a feedback subunit, and the feedback subunit may specifically be used for:

[0125] Generating first feedback information according to the first intraocular pressure monitoring data and the third intraocular pressure monitoring data monitored before the execution of the target eye yoga content, and displaying the first feedback information in the sleep report;

[0126] If the duration for which the second intraocular pressure monitoring data is within the high intraocular pressure range exceeds a preset time, generate second feedback information and display it in the sleep report.

[0127] Furthermore, the first bed body attitude adjustment module 21 may specifically include:

[0128] A yoga content acquisition unit, configured to, in response to a triggering operation of the service object on the displayed eye yoga mode, call the database to acquire eye yoga content and display the eye yoga content;

[0129] A yoga content determination unit, configured to, in response to a triggering operation of the service object on the displayed eye yoga content, determine the target eye yoga content;

[0130] An action information determination unit, configured to determine limb movement information according to the target eye yoga content;

[0131] A third attitude control unit, configured to control the intelligent bed to adjust the bed body attitude according to the bed body adjustment parameters corresponding to the limb movement information.

[0132] Furthermore, the limb movement information includes at least one of the following: limb movement, the execution order of the limb movement, and the execution time of the limb movement;

[0133] Correspondingly, the third attitude control unit may specifically be used for:

[0134] Determine the respective bed body attitude parameters corresponding to each of the limb movements, where the bed body attitude parameters include: the bed body adjustment height and / or the bed body adjustment angle;

[0135] Determine the respective bed body attitude holding times according to the execution time of each of the limb movements;

[0136] Sort and combine the respective bed body attitude parameters and the respective bed body attitude holding times according to the execution order of each of the limb movements to obtain bed body adjustment parameters;

[0137] Send the bed body adjustment parameters to the intelligent bed to control the intelligent bed to adjust the bed body attitude according to the bed body adjustment parameters.

[0138] Furthermore, the first bed body attitude adjustment module 21 further includes a content playback unit, and the content playback unit may specifically be used for:

[0139] After determining the limb movement information according to the target eye yoga content, in the case where the data type of the target eye yoga content is text and graphics, determine the playback parameters of the text and graphics corresponding to the limb movement according to the execution order of the limb movement and the execution time of the limb movement;

[0140] Play the target eye yoga content according to the playback parameters.

[0141] The intelligent bed control device provided by the embodiments of the present invention can execute the intelligent bed control method provided by any embodiment of the present invention, and has the corresponding functional modules and beneficial effects for executing the method.

[0142] Figure 3 FIG. shows a schematic structural diagram of a terminal device 30 that can be used to implement the embodiments of the present invention. The terminal device is intended to represent various forms of digital computers, such as, for example, laptop computers, desktop computers, workstations, personal digital assistants, and other suitable computers. The terminal device can also represent various forms of mobile devices, such as, for example, personal digital processors, cellular telephones, smart phones, wearable devices (such as helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the present invention described and / or claimed herein.

[0143] As Figure 3 shown, the terminal device 30 includes at least one processor 31, and a memory communicatively connected to the at least one processor 31, such as a read-only memory (ROM) 32, a random access memory (RAM) 33, etc. Among them, the memory stores a computer program executable by the at least one processor. The processor 31 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 32 or the computer program loaded from the storage unit 38 into the random access memory (RAM) 33. In the RAM 33, various programs and data required for the operation of the terminal device 30 can also be stored. The processor 31, the ROM 32, and the RAM 33 are connected to each other through a bus 34. The input / output (I / O) interface 35 is also connected to the bus 34.

[0144] Multiple components in the terminal device 30 are connected to the I / O interface 35, including: an input unit 36, such as a keyboard, a mouse, etc.; an output unit 37, such as various types of displays, speakers, etc.; a storage unit 38, such as a magnetic disk, an optical disk, etc.; and a communication unit 39, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 39 allows the terminal device 30 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0145] The processor 31 may be various general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the processor 31 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The processor 31 executes the various methods and processes described above, such as the intelligent bed control method.

[0146] In some embodiments, the intelligent bed control method may be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as the storage unit 38. In some embodiments, part or all of the computer program may be loaded and / or installed onto the terminal device 30 via the ROM 32 and / or the communication unit 39. When the computer program is loaded into the RAM 33 and executed by the processor 31, one or more steps of the intelligent bed control method described above may be executed. Alternatively, in other embodiments, the processor 31 may be configured to execute the intelligent bed control method by any other suitable means (e.g., by means of firmware).

[0147] The various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuitry, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-chip (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special or general-purpose programmable processor that receives data and instructions from a storage system, at least one input device, and at least one output device, and transmits the data and instructions to the storage system, the at least one input device, and the at least one output device.

[0148] The computer programs for implementing the methods of the present invention can be written in any combination of one or more programming languages. These computer programs can be provided to the processors of general-purpose computers, special-purpose computers, or other programmable data processing devices, such that when the computer programs are executed by the processors, the functions / operations specified in the flowcharts and / or block diagrams are implemented. The computer programs can be executed entirely on the machine, partially on the machine, as an independent software package partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0149] In the context of the present invention, a computer-readable storage medium can be a tangible medium that can contain or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer-readable storage medium can include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, the computer-readable storage medium can be a machine-readable signal medium. More specific examples of the machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0150] In order to provide interaction with a user, the systems and techniques described herein can be implemented on a terminal device that has: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the terminal device. Other kinds of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0151] The systems and techniques described herein can be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer having a graphical user interface or a web browser through which the user can interact with an implementation of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local area network (LAN), wide area network (WAN), blockchain network, and the Internet.

[0152] A computing system may include a client and a server. The client and the server are generally far from each other and usually interact via a communication network. The relationship between the client and the server is created by computer programs running on respective computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or a cloud host, which is a host product in the cloud computing service system, solving the defects of difficult management and weak business scalability existing in traditional physical hosts and VPS services.

[0153] It should be understood that various forms of the processes shown above can be used, steps can be reordered, added or deleted. For example, the steps recited in the present invention can be executed in parallel, sequentially or in a different order, as long as the desired results of the technical solution of the present invention can be achieved, and no limitation is made herein.

[0154] The above specific embodiments do not constitute a limitation to the protection scope of the present invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A smart bed control method, characterized in that: A terminal device is applied to be connected to a smart bed in communication, wherein the terminal device is connected to an intraocular pressure monitoring device worn by a service object in communication, and the method includes: Based on the target eye yoga content selected by the service object, controlling the smart bed to adjust the bed posture to assist the service object in performing the target eye yoga content; Acquiring intraocular pressure monitoring data collected in real time by the intraocular pressure monitoring device; After the target eye yoga content is completed, the smart bed is controlled to adjust the bed posture according to the intraocular pressure monitoring data.

2. The method according to claim 1, characterized in that The step of controlling the smart bed to adjust the bed posture according to the intraocular pressure monitoring data comprises: If the first intraocular pressure monitoring data after the target eye yoga content ends is within the normal intraocular pressure range, controlling the smart bed to adjust to the first bed posture; If the first intraocular pressure monitoring data is within the high intraocular pressure range, the smart bed is controlled to adjust to a second bed posture, and the smart bed is controlled to adjust the bed posture according to the second intraocular pressure monitoring data monitored during sleep.

3. The method according to claim 2, characterized in that The method of controlling the smart bed to adjust the bed posture according to the second intraocular pressure monitoring data monitored during sleep includes: Obtaining a sleep state determined by the smart bed; If the second intraocular pressure monitoring data corresponding to the deep sleep state is within the high intraocular pressure range, controlling the smart bed to adjust to a third bed posture; Until the second intraocular pressure monitoring data is within the normal intraocular pressure range, the smart bed is controlled to adjust to the first bed posture.

4. The method according to claim 3, characterized in that Also includes: generating first feedback information according to the first intraocular pressure monitoring data and the third intraocular pressure monitoring data monitored before the target eye yoga content is executed, and displaying the first feedback information in a sleep report; If the duration of the second intraocular pressure monitoring data being within the high intraocular pressure range exceeds a preset time, second feedback information is generated and displayed in the sleep report.

5. The method according to claim 1, characterized in that The step of controlling the smart bed to adjust the bed posture based on the target eye yoga content selected by the service object includes: In response to a trigger operation of the displayed eye yoga mode by the service object, calling a database to obtain eye yoga content, and displaying the eye yoga content; In response to a triggering operation of the displayed eye yoga content by the service subject, determining a target eye yoga content; determining body movement information according to the target eye yoga content; The smart bed is controlled to adjust the bed posture according to the bed adjustment parameters corresponding to the limb movement information.

6. The method according to claim 5, characterized in that The body movement information includes at least one of the following: a body movement, an execution order of the body movement, and an execution time of the body movement; Correspondingly, the step of controlling the smart bed to adjust the bed posture according to the bed adjustment parameters corresponding to the limb movement information includes: Determine each bed posture parameter corresponding to each of the limb movements, wherein the bed posture parameters include: bed adjustment height and / or bed adjustment angle; Determining the holding time of each bed posture according to the execution time of each limb movement; According to the execution order of each of the limb movements, the bed posture parameters and the bed posture holding time are sorted and combined to obtain a bed adjustment parameter; The bed adjustment parameters are sent to the smart bed to control the smart bed to adjust the bed posture according to the bed adjustment parameters.

7. The method according to claim 5, characterized in that After determining the limb movement information according to the target eye yoga content, the method further includes: In the case where the data type of the target eye yoga content is text and pictures, the playback parameters of the text and pictures corresponding to the body movements are determined according to the execution order of the body movements and the execution time of the body movements; The target eye yoga content is played according to the playback parameters.

8. An intelligent bed control device, characterized in that: A terminal device used for communication connection with a smart bed, wherein the terminal device is communicated with an intraocular pressure monitoring device worn by a service object, and the device comprises: A first bed posture adjustment module, for controlling the smart bed to adjust the bed posture based on the target eye yoga content selected by the service object, so as to assist the service object in performing the target eye yoga content; An intraocular pressure data acquisition module, used to acquire the intraocular pressure monitoring data collected in real time by the intraocular pressure monitoring device; The second bed posture adjustment module is used to control the smart bed to adjust the bed posture according to the intraocular pressure monitoring data after the target eye yoga content is completed.

9. A terminal device, characterized in that: The terminal device comprises: at least one processor; and a memory communicatively coupled to the at least one processor; Wherein, the memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the smart bed control method described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the smart bed control method described in any one of claims 1-7 when executed.

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