Methods, apparatus, and storage media for improving sleep

Abstract

This application relates to the field of sleep improvement technology, and discloses a method for improving sleep, including: acquiring historical sleep data of a target user; determining an adjustment strategy for a lighting component based on the historical sleep data and standard sleep data of the target user's type; and controlling a smart device to execute the adjustment strategy, facilitating sleep improvement for the target user under the illumination of the lighting component. In this way, by combining historical sleep data and standard sleep data of the target user's type, a more precise adjustment strategy for the lighting component can be determined. This allows the target user to improve sleep under the illumination of the lighting component while controlling the smart device to execute the adjustment strategy, providing a more convenient and effective sleep improvement solution for the user, meeting the target user's personalized control needs for the smart device, and realizing the diversification of the smart device's functions. This application also discloses a device and storage medium for improving sleep.

Description

Technical Field

[0001] This application relates to the field of sleep improvement technology, such as a method, apparatus, and storage medium for improving sleep. Background Technology

[0002] As people's living standards continue to improve, smart devices are gradually becoming a part of users' lives. Currently, smart devices have brought greater convenience to users, and using them to improve sleep has become a focus of public attention.

[0003] Currently, users can improve their sleep by wearing smart biological clock glasses. However, the product needs to be worn while the user is asleep. If the glasses fall off after the user falls asleep, or if the user is resistant to wearable products and refuses to wear the smart biological clock glasses, it will not be able to improve the user's sleep.

[0004] It should be noted that the information disclosed in the background section above is only used to enhance the understanding of the background of this application, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0005] To provide a basic understanding of some aspects of the disclosed embodiments, a brief summary is given below. This summary is not intended as a general commentary, nor is it intended to identify key / important components or describe the scope of protection of these embodiments, but rather as a prelude to the detailed description that follows.

[0006] This disclosure provides a method, apparatus, and storage medium for improving sleep, which can more conveniently and effectively improve the user's sleep quality.

[0007] In some embodiments, the method for improving sleep includes: acquiring historical sleep data of a target user; determining an adjustment strategy for a light component based on the historical sleep data and standard sleep data of the target user's type; and controlling a smart device to execute the adjustment strategy to facilitate sleep improvement for the target user under the illumination of the light component.

[0008] In some embodiments, the method for improving sleep includes: comparing historical sleep data with standard sleep data of the type to which the target user belongs to obtain a target comparison result; and determining an adjustment strategy for the lighting components based on the target comparison result.

[0009] In some embodiments, the method for improving sleep includes: when the target comparison result is that historical sleep data is lower than standard sleep data, determining that the adjustment strategy of the light component is to control the light component to emit red light in a first target sleep stage; and when the target comparison result is that historical sleep data is higher than standard sleep data, determining that the adjustment strategy of the light component is to control the light component to emit green light in a second target sleep stage; wherein the first target sleep stage is the sleep stage where historical sleep data is lower than standard sleep data, and the second target sleep stage is the sleep stage where historical sleep data is higher than standard sleep data.

[0010] In some embodiments, the method for improving sleep includes: when historical sleep data consists of the sleep duration of each sleep stage and standard sleep data consists of the standard sleep duration of each sleep stage, comparing the sleep duration of each sleep stage with the standard sleep duration of each sleep stage to obtain a target comparison result; and when historical sleep data consists of the sleep percentage of each sleep stage and standard sleep data consists of the standard sleep percentage of each sleep stage, comparing the sleep percentage of each sleep stage with the standard sleep percentage of each sleep stage to obtain a target comparison result.

[0011] In some embodiments, the method for improving sleep includes: when the target comparison result indicates that the sleep duration of at least one sleep stage is lower than the standard sleep duration of that stage, determining the adjustment strategy of the light component to first control the light component to emit red light in the third target sleep stage, and then controlling the light component according to the comparison between the sleep percentage of each sleep stage and the standard sleep percentage of each sleep stage in the target comparison result; wherein, the third target sleep stage is a sleep stage in which the sleep duration is lower than the standard sleep duration.

[0012] In some embodiments, the method for improving sleep includes: acquiring the real-time sleep curve of a target user; and controlling a smart device to stop executing a regulation strategy when the real-time sleep curve indicates that the target user's sleep has improved and reached a preset improvement target.

[0013] In some embodiments, the method for improving sleep includes: acquiring sleep experience information from a target user; determining a target light source intensity for improving the target user's sleep based on the sleep experience information; and activating a lighting component according to the target light source intensity when the target user restarts the sleep improvement module.

[0014] In some embodiments, the device for improving sleep includes: an acquisition module configured to acquire historical sleep data of a target user; a determination module configured to determine an adjustment strategy for a light component based on the historical sleep data and standard sleep data of the target user's type; and a control module configured to control a smart device to execute the adjustment strategy, facilitating sleep improvement for the target user under the illumination of the light component.

[0015] In some embodiments, the device for improving sleep includes a processor and a memory storing program instructions, the processor being configured to execute the aforementioned method for improving sleep when the program instructions are executed.

[0016] In some embodiments, the storage medium stores program instructions that, when executed, perform the aforementioned method for improving sleep.

[0017] The method, apparatus, and storage medium for improving sleep provided in this disclosure can achieve the following technical effects: by acquiring the historical sleep data of the target user; and based on the historical sleep data and standard sleep data of the target user's type, determining the adjustment strategy of the lighting component; and then controlling the smart device to execute the adjustment strategy. In this way, by combining historical sleep data and standard sleep data of the target user's type, a more precise adjustment strategy for the lighting component can be determined. This allows the target user to improve their sleep under the illumination of the lighting component while controlling the smart device to execute the adjustment strategy, providing a more convenient and effective sleep improvement solution, meeting the target user's personalized needs for the smart device, and realizing the diversification of the smart device's functions.

[0018] The above general description and the description below are exemplary and illustrative only and are not intended to limit this application. Attached Figure Description

[0019] One or more embodiments are illustrated by way of example with reference to the accompanying drawings. These illustrations and drawings do not constitute a limitation on the embodiments. Elements having the same reference numerals in the drawings are shown as similar elements. The drawings are not to be scaled. And wherein:

[0020] Figure 1 This is a schematic diagram of a method for improving sleep provided in an embodiment of this disclosure;

[0021] Figure 2 This is a schematic diagram of a method for determining a regulation strategy provided in an embodiment of this disclosure;

[0022] Figure 3 This is a schematic diagram of another method for determining a regulation strategy provided in an embodiment of this disclosure;

[0023] Figure 4 This is a schematic diagram of another method for improving sleep provided in this disclosure embodiment;

[0024] Figure 5 This is a schematic diagram of a device for improving sleep provided in an embodiment of this disclosure;

[0025] Figure 6 This is a schematic diagram of another device for improving sleep provided in an embodiment of this disclosure. Detailed Implementation

[0026] To provide a more detailed understanding of the features and technical content of the embodiments of this disclosure, the implementation of the embodiments of this disclosure will be described in detail below with reference to the accompanying drawings. The accompanying drawings are for illustrative purposes only and are not intended to limit the embodiments of this disclosure. In the following technical description, for ease of explanation, several details are used to provide a full understanding of the disclosed embodiments. However, one or more embodiments may still be implemented without these details. In other cases, well-known structures and devices may be simplified in their depiction to simplify the drawings.

[0027] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this disclosure are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate for the embodiments of this disclosure described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion.

[0028] Unless otherwise stated, the term "multiple" means two or more.

[0029] In this embodiment of the disclosure, the character " / " indicates that the objects before and after it are in an "or" relationship. For example, A / B means: A or B.

[0030] The term "and / or" describes an association between objects, indicating that three relationships can exist. For example, A and / or B means: A or B, or A and B.

[0031] The term "correspondence" can refer to an association or binding relationship. The correspondence between A and B means that there is an association or binding relationship between A and B.

[0032] In this embodiment of the disclosure, smart home appliances refer to home appliances formed by introducing microprocessors, sensor technology and network communication technology into home appliances. They have the characteristics of intelligent control, intelligent sensing and intelligent application. The operation of smart home appliances often relies on the application and processing of modern technologies such as the Internet of Things, the Internet and electronic chips. For example, smart home appliances can be connected to electronic devices to enable users to remotely control and manage smart home appliances.

[0033] In this embodiment of the disclosure, the terminal device refers to an electronic device with wireless connectivity. The terminal device can communicate with the aforementioned smart home appliances by connecting to the internet, or directly via Bluetooth, Wi-Fi, or other methods. In some embodiments, the terminal device may be, for example, a mobile device, a computer, or an in-vehicle device built into a hovercraft, or any combination thereof. Mobile devices may include, for example, mobile phones, smart home devices, wearable devices, smart mobile devices, virtual reality devices, or any combination thereof. Wearable devices may include, for example, smartwatches, smart bracelets, pedometers, etc.

[0034] In this embodiment, the smart device is equipped with a sleep improvement module, which includes a lighting component. The lighting component can be an LED light. As an example, the smart device in this embodiment can be a smart TV, smart air conditioner, smart humidifier, or other device with a lighting component. This device can control the lighting component to project light and illuminate the user's face as needed after the user falls asleep. Preferably, the smart device can be placed around the smart bed for convenient light projection after the user falls asleep.

[0035] Optionally, the sleep improvement module also includes a mask and / or a lens module. In this way, by adding a mask and / or a lens module, when the lighting assembly projects light in a controlled manner, the projected light beam can be precisely focused on the user's face, thereby reducing the disturbance to other users who are not asleep in the room during the use of the sleep improvement module.

[0036] Figure 1 This is a schematic diagram of a method for improving sleep provided in an embodiment of this disclosure; combined with Figure 1 As shown, optionally, embodiments of this disclosure provide a method for improving sleep, comprising:

[0037] S11: Smart devices acquire historical sleep data of the target user.

[0038] S12, the smart device determines the adjustment strategy for the lighting components based on historical sleep data and standard sleep data of the target user's type.

[0039] S13, the smart device controls the smart device to execute the adjustment strategy, so that the target user can improve sleep under the illumination of the light component.

[0040] In this solution, the smart device acquires the target user's historical sleep data, including: acquiring the target user's sleep data for multiple days over the past week stored on the server, filtering the target user's sleep data for multiple days to remove unreasonable and invalid data; and averaging the remaining sleep data for multiple days according to different sleep stages, and determining the average value as the target user's historical sleep data. The sleep stages may include light sleep, moderate sleep, deep sleep, and REM sleep. For example, if the acquired sleep data consists of sleep durations for various sleep stages over multiple days, the remaining sleep data after filtering would include: Day 1: 1.6 hours of REM sleep and 3.5 hours of deep sleep (the aforementioned deep sleep stage is referred to as deep sleep); Day 2: 1.2 hours of REM sleep and 3.8 hours of deep sleep; Day 3: 1.3 hours of REM sleep and 4 hours of deep sleep; Day 4: 1.9 hours of REM sleep and 3.6 hours of deep sleep. After averaging, the target user's historical sleep data would be determined to be 1.5 hours of REM sleep and 3.725 hours of deep sleep. This allows for the accurate determination of the target user's historical sleep data.

[0041] Optionally, users can pre-set filtering rules for invalid data to filter out sleep data that does not conform to their sleep patterns. For example, this study does not target all sleep events; naps and short rests are not within the scope of this research. Therefore, the filtering rule for invalid data could be to determine sleep data for days with a total sleep duration of no more than 4 hours as invalid data. Alternatively, obvious data errors caused by data collection device malfunctions, such as a user's total sleep duration exceeding 8 hours but the sleep data collection device determining the user's total sleep duration to be 2 hours, would also be considered invalid data. In this way, filtering out invalid data ensures the accuracy of historical sleep data.

[0042] In this embodiment, the multi-day sleep data generally refers to sleep data from at least four days within the past week. For example, it can be continuous sleep data from Monday to Thursday within the past week, or intermittent sleep data from Monday, Wednesday, Thursday, and Friday. As a preferred option, the multi-day sleep data can also be ten days or five days of sleep data. In this way, the user's historical sleep patterns can be comprehensively judged through the acquisition of multiple samples.

[0043] In this embodiment, sleep data includes the sleep duration of each sleep stage and / or the sleep percentage of each stage. The sleep duration of a sleep stage is the length of time the user is in that sleep stage, and the sleep percentage of a sleep stage = sleep duration of that sleep stage / total sleep duration. The total sleep duration refers to the time from when the user enters a sleep stage to when they wake up.

[0044] Furthermore, smart devices can also acquire standard sleep data belonging to the target user's category. Here, the target user's category can be adult male, adult female, elderly, child, pregnant woman, etc. Specifically, the smart device can acquire image information of the target user through its associated image acquisition device and extract the user's facial features from the image information to identify the user's category. Further, it can match standard sleep data associated with the user's category in the server associated with the smart device and identify it as the standard sleep data for the target user's category. This enables the accurate acquisition of standard sleep data for the target user's category.

[0045] Furthermore, the smart device can determine the adjustment strategy for the lighting components based on historical sleep data and standard sleep data for the target user's type. Specifically, the smart device determines the adjustment strategy for the lighting components based on historical sleep data and standard sleep data for the target user's type, including: the smart device comparing historical sleep data with standard sleep data for the target user's type to obtain a target comparison result; and the smart device determining the adjustment strategy for the lighting components based on the target comparison result. The adjustment strategy for the lighting components may include a light color adjustment strategy and / or a light brightness adjustment strategy. In this way, by combining the comparison between historical sleep data and standard sleep data for the target user's type, the adjustment strategy for the lighting components can be accurately determined. Furthermore, the smart device can control the execution of the adjustment strategy, facilitating sleep improvement for the target user under the illumination of the lighting components.

[0046] The method for improving sleep provided in this disclosure involves acquiring the target user's historical sleep data; determining an adjustment strategy for the lighting component based on the historical sleep data and standard sleep data for the target user's type; and then controlling the smart device to execute the adjustment strategy. In this way, by combining historical sleep data and standard sleep data for the target user's type, a more precise adjustment strategy for the lighting component can be determined. This allows the target user to improve their sleep under the illumination of the lighting component while the smart device executes the adjustment strategy, providing a more convenient and effective sleep improvement solution. It also meets the target user's personalized needs for the smart device and realizes the diversification of the smart device's functions.

[0047] Figure 2This is a schematic diagram of a method for determining a regulation strategy provided in an embodiment of this disclosure; combined with Figure 2 As shown, optionally, in step S12, the smart device determines the adjustment strategy for the lighting components based on historical sleep data and standard sleep data of the target user's type, including:

[0048] S21, the smart device compares historical sleep data with standard sleep data of the target user's type to obtain the target comparison result.

[0049] S22, the smart device determines the adjustment strategy for the lighting components based on the target comparison results.

[0050] In this embodiment, the smart device can compare historical sleep data with standard sleep data of the target user's type, specifically including the following three cases: First case: When the historical sleep data consists of the sleep duration of each sleep stage and the standard sleep data consists of the standard sleep duration of each sleep stage, the smart device compares the sleep duration of each sleep stage with the standard sleep duration of each sleep stage to obtain the target comparison result; Second case: When the historical sleep data consists of the sleep percentage of each sleep stage and the standard sleep data consists of the standard sleep percentage of each sleep stage, the smart device compares the sleep percentage of each sleep stage with the standard sleep percentage of each sleep stage. The system compares the standard sleep percentage of each sleep stage as the target comparison result. In the third scenario, where historical sleep data includes the sleep duration and percentage of each sleep stage, and standard sleep data includes the standard sleep duration and percentage of each sleep stage, the smart device compares the sleep duration of each sleep stage with the standard sleep duration to obtain a first comparison result. The smart device then compares the sleep percentage of each sleep stage with the standard sleep percentage to obtain a second comparison result. The smart device uses both the first and second comparison results as the target comparison result. This approach achieves a more accurate target comparison result. Furthermore, the smart device can combine the obtained target comparison results to determine the adjustment strategy for the lighting components. This provides a more precise data foundation for the control of the smart device, enabling a more accurate adjustment strategy for the lighting components.

[0051] Figure 3 This is a schematic diagram of another method for determining a regulation strategy provided in this disclosure embodiment; combined with Figure 3 As shown, optionally, in step S22, the smart device determines the adjustment strategy for the lighting components based on the target comparison result, including:

[0052] S31, if the target comparison result shows that the historical sleep data is lower than the standard sleep data, the smart device determines that the adjustment strategy of the light component is to control the light component to emit red light during the first target sleep stage.

[0053] S32, if the target comparison result shows that the historical sleep data is higher than the standard sleep data, the smart device determines that the adjustment strategy of the light component is to control the light component to emit green light during the second target sleep stage.

[0054] The first target sleep stage is the sleep stage where historical sleep data is lower than standard sleep data, and the second target sleep stage is the sleep stage where historical sleep data is higher than standard sleep data.

[0055] Understandably, research has shown that when green light of a specific wavelength illuminates a user's retina, it can induce the nerves in the brain that control the biological clock, promote the production of photosensitive melanopsin and adrenocortical hormones, and inhibit the secretion of melatonin, thus making the user alert and energized under the influence of green light. Conversely, when red light of a specific wavelength illuminates a user's retina, it can promote melatonin secretion, thus inducing sleepiness and promoting quality sleep under the influence of red light. Therefore, by combining the results of the target comparison, the adjustment strategy for the lighting components can be determined. Here, the adjustment strategy for the lighting components is a light color adjustment strategy.

[0056] Specifically, based on the target comparison results, the smart device determines the adjustment strategy for the lighting component, including: when the target comparison result indicates that historical sleep data is lower than standard sleep data, the smart device determines that the adjustment strategy for the lighting component is to control the lighting component to emit red light during the first target sleep stage. The first target sleep stage is the sleep stage where historical sleep data is lower than standard sleep data. As an example, if the target comparison result indicates that the target user's sleep duration during deep sleep is lower than the standard sleep duration during deep sleep for that user's type and / or the target user's sleep percentage during deep sleep is lower than the standard sleep percentage during deep sleep for that user's type, then the smart device determines that the adjustment strategy for the lighting component is to control the lighting component to emit red light during deep sleep. In this way, when it is determined that the user is sleep-deprived during deep sleep, the sleep-promoting properties of red light can be used to determine an adjustment strategy that can improve the quality of deep sleep. This allows the target user in deep sleep to extend their deep sleep duration and / or sleep percentage under red light irradiation, providing the user with a better sleep quality control solution.

[0057] Specifically, based on the target comparison results, the smart device determines the adjustment strategy for the lighting component, including: when the target comparison result indicates that historical sleep data is higher than standard sleep data, the smart device determines that the adjustment strategy for the lighting component is to control the lighting component to emit green light during the second target sleep stage. The second target sleep stage is the sleep stage where historical sleep data is higher than standard sleep data. As an example, if the target comparison result indicates that the target user's sleep duration during REM sleep is higher than the standard sleep duration during REM sleep for that user's type and / or the target user's sleep percentage during REM sleep is higher than the standard sleep percentage during REM sleep for that user's type, then the smart device determines that the adjustment strategy for the lighting component is to control the lighting component to emit green light during REM sleep. In this way, when it is determined that the user is sleeping excessively during REM sleep, the sleep-inhibiting properties of green light can be utilized to determine an adjustment strategy that reduces REM sleep, so that the target user in REM sleep will have reduced REM sleep duration and / or REM sleep percentage under green light irradiation, providing the user with a better sleep quality control solution.

[0058] In an optimized solution, the adjustment strategy for the lighting component includes: a light color adjustment strategy and a light brightness adjustment strategy. Specifically, the smart device determines the adjustment strategy for the lighting component based on the target comparison result, including: when the target comparison result shows that historical sleep data is significantly lower than standard sleep data, the smart device determines that the adjustment strategy for the lighting component is to control the lighting component to emit red light during the first target sleep stage while displaying brightness according to the first target light source intensity; when the target comparison result shows that historical sleep data is close to but lower than standard sleep data, the smart device determines that the adjustment strategy for the lighting component is to control the lighting component to emit red light during the first target sleep stage while displaying brightness according to the second target light source intensity. Wherein, the first target light source intensity is greater than the second target light source intensity. In this way, while red light promotes sleep, the secretion rate of melatonin can be adjusted by regulating the display brightness of the red light, thus meeting the user's precise requirements for sleep quality adjustment by the smart device.

[0059] In an optimized solution, the adjustment strategy for the lighting component includes: a light color adjustment strategy and a light brightness adjustment strategy. Specifically, the smart device determines the adjustment strategy for the lighting component based on the target comparison result, including: when the target comparison result shows that historical sleep data is much higher than standard sleep data, the smart device determines that the adjustment strategy for the lighting component is to control the lighting component to emit green light during the second target sleep stage while displaying brightness according to the third target light source intensity; when the target comparison result shows that historical sleep data is close to and higher than standard sleep data, the smart device determines that the adjustment strategy for the lighting component is to control the lighting component to emit green light during the second target sleep stage while displaying brightness according to the fourth target light source intensity. Wherein, the third target light source intensity is greater than the fourth target light source intensity. In this way, while green light inhibits sleep, the secretion rate of melatonin can be adjusted by regulating the display brightness of the green light, thus meeting the user's precise requirements for sleep quality adjustment by the smart device.

[0060] Optionally, in step S21, the smart device compares historical sleep data with standard sleep data of the target user's type to obtain a target comparison result, including:

[0061] Given that historical sleep data represents the sleep duration of each sleep stage and standard sleep data represents the standard sleep duration of each sleep stage, the smart device compares the sleep duration of each sleep stage with the standard sleep duration of each sleep stage to obtain the target comparison result.

[0062] Given historical sleep data representing the percentage of sleep in each sleep stage and standard sleep data representing the standard percentage of sleep in each sleep stage, the smart device compares the percentage of sleep in each sleep stage with the standard percentage of sleep in each sleep stage to obtain the target comparison result.

[0063] In this embodiment, when historical sleep data consists of the sleep duration of each sleep stage and standard sleep data consists of the standard sleep duration of each sleep stage, the smart device compares the sleep duration of each sleep stage with the standard sleep duration of each sleep stage to obtain the target comparison result. As an example, the historical sleep data includes a REM sleep duration of 1.6 hours and a deep sleep duration of 3.8 hours; the standard sleep duration of REM sleep is 1.8 hours and the standard sleep duration of deep sleep is 3.9 hours. Therefore, the historical sleep data can be compared by comparing the REM sleep duration of 1.6 hours with the standard REM sleep duration of 1.8 hours, and the historical sleep data can be compared by comparing the deep sleep duration of 3.8 hours with the standard deep sleep duration of 3.9 hours, to determine that the target comparison result is that the REM sleep duration is lower than the standard REM sleep duration and the deep sleep duration is lower than the standard deep sleep duration. In this way, the target comparison results can be accurately determined by combining the sleep duration of each sleep stage and the standard sleep duration of each sleep stage.

[0064] In this embodiment, when historical sleep data represents the percentage of sleep in each sleep stage and standard sleep data represents the standard percentage of sleep in each sleep stage, the smart device compares the percentage of sleep in each sleep stage with the standard percentage of sleep in each sleep stage to obtain the target comparison result. As an example, the historical sleep data includes a REM sleep percentage of 0.2 and a deep sleep percentage of 0.4; a standard REM sleep percentage of 0.25 and a standard deep sleep percentage of 0.5. Therefore, the historical sleep data can be compared between the REM sleep percentage of 0.2 and the standard REM sleep percentage of 0.25, and the deep sleep percentage of 0.4 and the standard deep sleep percentage of 0.5, to determine that the target comparison result is that the REM sleep percentage is lower than the standard REM sleep percentage and the deep sleep percentage is lower than the standard deep sleep percentage. In this way, the target comparison result can be accurately determined by combining the percentage of sleep in each sleep stage and the standard percentage of sleep in each sleep stage.

[0065] Optionally, in step S22, the smart device determines an adjustment strategy for the lighting components based on the target comparison results, including:

[0066] If the target comparison results indicate that the sleep duration of at least one sleep stage is lower than the standard sleep duration for that stage, the smart device determines that the adjustment strategy for the light component is to first control the light component to emit red light in the third target sleep stage, and then control the light component according to the comparison between the sleep percentage of each sleep stage and the standard sleep percentage of each sleep stage in the target comparison results.

[0067] The third target sleep stage is the sleep stage where the sleep duration is less than the standard sleep duration.

[0068] In this solution, given historical sleep data including the sleep duration and percentage of each sleep stage, and standard sleep data including the standard sleep duration and percentage of each sleep stage, the sleep duration of each sleep stage is compared with the standard sleep duration to obtain a first comparison result. The smart device then compares the percentage of each sleep stage with the standard percentage of each sleep stage to obtain a second comparison result. The smart device uses both the first and second comparison results as the target comparison result. Thus, if the first comparison result indicates that at least one sleep stage has a sleep duration lower than the standard sleep duration for that stage, the smart device determines the lighting component's adjustment strategy as follows: first, control the lighting component to emit red light during the third target sleep stage; then, control the lighting component according to the second comparison result (the comparison between the percentage of each sleep stage and the standard percentage of each sleep stage). This solution allows for priority adjustment of sleep duration after obtaining both the first and second comparison results, prioritizing the correction of the sleep duration of each stage after the target user falls asleep, thereby meeting the user's needs for sleep quality adjustment.

[0069] Figure 4 This is a schematic diagram of another method for improving sleep provided in this disclosure embodiment; combined with Figure 4 As shown, optionally, after controlling the smart device to execute the adjustment strategy, the method further includes:

[0070] S41: Smart devices acquire the real-time sleep curve of the target user.

[0071] S42, when the real-time sleep curve indicates that the target user's sleep has improved and reached the preset improvement target, the smart device controls the smart device to stop executing the adjustment strategy.

[0072] In this solution, smart devices can output real-time sleep curves via their millimeter-wave radar modules or connected millimeter-wave radar devices. These real-time sleep curves can extract information such as the target user's sleep onset time, wakefulness time, and sleep stage segmentation. This method enables accurate acquisition of real-time sleep curves.

[0073] Furthermore, smart devices can analyze the acquired real-time sleep curves to determine whether the target user's sleep has improved and reached the preset improvement target. Specifically, this can be determined as follows: if historical sleep data is lower than standard sleep data, and the real-time sleep curve indicates that the sleep data for that sleep stage is on an upward trend and has reached the standard sleep data, then the target user's sleep has improved and reached the preset improvement target; if historical sleep data is higher than standard sleep data, and the real-time sleep curve indicates that the sleep data for that sleep stage is on a downward trend and has reached the standard sleep data, then the target user's sleep has improved and reached the preset improvement target. In this way, the data shown in the real-time sleep curve can be accurately analyzed.

[0074] Understandably, users experience multiple sleep cycles after falling asleep, each cycle consisting of five sleep stages (light sleep, medium sleep, deep sleep, and REM sleep). Therefore, the trend of sleep data changes during sleep stages can be determined by sequentially acquiring sleep data for the same sleep stage within each sleep cycle after the user falls asleep, and then using this data to predict the trend of sleep data changes during that sleep stage.

[0075] Furthermore, when the real-time sleep curve indicates that the target user's sleep has improved and reached the preset improvement target, it is determined that the target user does not need to adjust sleep quality, and the smart device can control it to stop executing the adjustment strategy. In this way, the timing of stopping sleep adjustment is accurately determined, meeting the target user's energy-saving control needs for the smart device.

[0076] In a preferred embodiment, if the real-time sleep curve indicates that the sleep stage of the current sleep cycle has reached the preset improvement target, then the adjustment strategy will not be implemented for that sleep stage in the subsequent sleep cycles of this sleep event. This approach satisfies the target user's energy-saving control needs for smart devices.

[0077] Optionally, after controlling the smart device to execute the adjustment strategy, the method further includes:

[0078] Smart devices acquire sleep experience information from target users.

[0079] Smart devices determine the target light source intensity to improve the sleep of target users based on sleep experience information.

[0080] When the target user reactivates the sleep improvement module, the smart device will activate the lighting components according to the target light source intensity.

[0081] Understandably, different users respond differently to light intensity. To determine whether a target user is suited to or satisfied with the current lighting adjustment strategy, sleep experience information from the target user can be obtained after the smart device executes the adjustment strategy. This sleep experience information can take various forms; for example, it could indicate stronger light intensity during deep sleep or a reduction in the duration / percentage of deep sleep. The specific form is not limited as long as it reflects the target user's perception of the smart device's lighting adjustment.

[0082] Furthermore, smart devices can combine sleep perception information to determine the target light source intensity for improving the sleep of a target user. In one example, if the sleep perception information indicates a stronger light source during deep sleep, a pre-set light source intensity level can be obtained; if the pre-set light source intensity level is high, then the target light source intensity for improving the sleep of the target user is determined to be medium; if the pre-set light source intensity level is medium, then the target light source intensity for improving the sleep of the target user is determined to be low. In this way, the target light source intensity can be accurately determined. Thus, when the target user restarts the sleep improvement module, the smart device can activate the lighting components according to the target light source intensity. This allows for a more reasonable approach to improving the sleep of the target user while meeting their light source intensity adjustment needs.

[0083] In one optimized approach, the smart device can also learn the target user's optimal energy matching value for the light source, and then adjust the brightness of the light source component based on the optimal energy matching value to achieve a better sleep improvement effect, making the sleep improvement solution implemented in this way more in line with the target user's light source intensity preference.

[0084] In one optimized solution, if the smart device is equipped with a millimeter-wave radar module or is connected to a millimeter-wave radar device, it can detect the distance between the lighting component and the user's face, and combine this distance information to determine the light source intensity value of the lighting component; then, the lighting component is adjusted according to the light source intensity value. This method comprehensively considers the losses during light propagation to determine the light source intensity, providing an accurate data foundation for precise control of the lighting component.

[0085] Figure 5 This is a schematic diagram of a device for improving sleep provided in an embodiment of this disclosure; combined with Figure 5As shown, this embodiment of the present disclosure provides a device for improving sleep, including an acquisition module 51, a determination module 52, and a control module 53. The acquisition module 51 is configured to acquire historical sleep data of a target user; the determination module 52 is configured to determine an adjustment strategy for a light component based on the historical sleep data and standard sleep data of the target user's type; the control module 53 is configured to control a smart device to execute the adjustment strategy, facilitating sleep improvement for the target user under the illumination of the light component.

[0086] The sleep improvement device provided in this disclosure acquires the target user's historical sleep data and determines an adjustment strategy for the lighting component based on the historical sleep data and standard sleep data of the target user's type. This allows the smart device to execute the adjustment strategy. By combining historical sleep data with standard sleep data of the target user's type, a more precise adjustment strategy for the lighting component can be determined. This enables the target user to improve their sleep under the illumination of the lighting component while the smart device executes the adjustment strategy, providing a more convenient and effective sleep improvement solution. It also meets the target user's personalized needs for the smart device and diversifies the smart device's functions.

[0087] Figure 6 This is a schematic diagram of another device for improving sleep provided in this disclosure embodiment; combined with Figure 6 As shown, this disclosure provides an apparatus for improving sleep, including a processor 100 and a memory 101. Optionally, the apparatus may further include a communication interface 102 and a bus 103. The processor 100, communication interface 102, and memory 101 can communicate with each other via the bus 103. The communication interface 102 can be used for information transmission. The processor 100 can call logical instructions in the memory 101 to execute the sleep improvement method described in the above embodiment.

[0088] Furthermore, the logic instructions in the aforementioned memory 101 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium.

[0089] The memory 101, as a computer-readable storage medium, can be used to store software programs and computer-executable programs, such as program instructions / modules corresponding to the methods in the embodiments of this disclosure. The processor 100 executes functional applications and data processing by running the program instructions / modules stored in the memory 101, that is, it implements the method for improving sleep described in the above embodiments.

[0090] The memory 101 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created based on the use of the terminal device. Furthermore, the memory 101 may include high-speed random access memory and may also include non-volatile memory.

[0091] This disclosure provides a smart device that includes the above-described apparatus for improving sleep.

[0092] This disclosure provides a computer-readable storage medium storing computer-executable instructions configured to perform the above-described method for improving sleep.

[0093] This disclosure provides a computer program product, which includes a computer program stored on a computer-readable storage medium. The computer program includes program instructions that, when executed by a computer, cause the computer to perform the above-described method for improving sleep.

[0094] The aforementioned computer-readable storage medium may be a transient computer-readable storage medium or a non-transitory computer-readable storage medium.

[0095] The technical solutions of this disclosure can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes one or more instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in this disclosure. The aforementioned storage medium can be a non-transitory storage medium, including: a USB flash drive, a portable hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, and other media capable of storing program code; it can also be a transient storage medium.

[0096] The foregoing description and accompanying drawings fully illustrate embodiments of this disclosure to enable those skilled in the art to practice them. Other embodiments may include structural, logical, electrical, procedural, and other changes. The embodiments represent only possible variations. Individual components and functions are optional unless explicitly required, and the order of operation may vary. Parts and features of some embodiments may be included in or replace parts and features of other embodiments. Moreover, the terminology used in this application is for describing embodiments only and is not intended to limit the claims. As used in the description of embodiments and claims, the singular forms “a,” “an,” and “the” are intended to equally include the plural forms unless the context clearly indicates otherwise. Similarly, the term “and / or” as used in this application means including one or more of the associated listed items and all possible combinations thereof. Additionally, when used in this application, the term "comprise" and its variations "comprises" and / or "comprising" refer to the presence of stated features, integrals, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components, and / or groups thereof. Without further limitations, an element defined by the phrase "comprises a..." does not exclude the presence of other identical elements in the process, method, or apparatus that includes said element. In this document, each embodiment may focus on the differences from other embodiments, and similar or identical parts between embodiments can be referred to mutually. For methods, products, etc., disclosed in the embodiments, if they correspond to the method section disclosed in the embodiments, the relevant parts can be referred to the description of the method section.

[0097] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the embodiments of this disclosure. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0098] The methods and products (including but not limited to devices and equipment) disclosed in the embodiments herein can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For instance, the division of units may be merely a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the shown or discussed units may be through some interfaces, and the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the units may be selected to implement this embodiment according to actual needs. Furthermore, the functional units in the embodiments of this disclosure may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0099] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to embodiments of this disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. In some alternative implementations, the functions marked in the blocks may occur in a different order than that shown in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. In the descriptions corresponding to the flowcharts and block diagrams in the accompanying drawings, the operations or steps corresponding to different blocks may also occur in a different order than disclosed in the description, and sometimes there is no specific order between different operations or steps. For example, two consecutive operations or steps may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. Each block in a block diagram and / or flowchart, and combinations of blocks in a block diagram and / or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

Claims

1. A method for improving sleep, characterized in that, The method, applied to a smart device equipped with a sleep improvement module, the sleep improvement module including a light component, comprises: Obtain the target user's historical sleep data; Based on the historical sleep data and the standard sleep data of the target user's type, a lighting component adjustment strategy is determined, including: comparing the historical sleep data with the standard sleep data of the target user's type to obtain a target comparison result; the historical sleep data includes the sleep duration and sleep percentage of each sleep stage, and the standard sleep data includes the standard sleep duration and standard sleep percentage of each sleep stage; and the lighting component adjustment strategy is determined based on the target comparison result. The smart device is controlled to execute the adjustment strategy, so that the target user can improve their sleep under the illumination of the light component; Wherein, if the target comparison result indicates that the sleep duration of at least one sleep stage is lower than the standard sleep duration of that stage, the adjustment strategy for the light component is determined to be to first control the light component to emit red light in the third target sleep stage, and then control the light component according to the comparison between the sleep percentage of each sleep stage and the standard sleep percentage of each sleep stage in the target comparison result; wherein, the third target sleep stage is the sleep stage where the sleep duration is lower than the standard sleep duration.

2. The method according to claim 1, characterized in that, The step of determining the adjustment strategy for the lighting components based on the target comparison results includes: If the target comparison result shows that the historical sleep data is lower than the standard sleep data, the adjustment strategy for the light component is determined to be to control the light component to emit red light during the first target sleep stage. If the target comparison result shows that the historical sleep data is higher than the standard sleep data, the adjustment strategy for the light component is determined to be to control the light component to emit green light during the second target sleep stage. The first target sleep stage is the sleep stage where the historical sleep data is lower than the standard sleep data, and the second target sleep stage is the sleep stage where the historical sleep data is higher than the standard sleep data.

3. The method according to claim 1, characterized in that, The step of comparing the historical sleep data with standard sleep data of the target user's type to obtain a target comparison result includes: When the historical sleep data is the sleep duration of each sleep stage and the standard sleep data is the standard sleep duration of each sleep stage, the sleep duration of each sleep stage is compared with the standard sleep duration of each sleep stage to obtain the target comparison result. When the historical sleep data is the percentage of sleep in each sleep stage and the standard sleep data is the standard percentage of sleep in each sleep stage, the percentage of sleep in each sleep stage is compared with the standard percentage of sleep in each sleep stage to obtain the target comparison result.

4. The method according to any one of claims 1 to 3, characterized in that, After controlling the smart device to execute the adjustment strategy, the method further includes: Obtain the real-time sleep curve of the target user; When the real-time sleep curve indicates that the target user's sleep has improved and reached the preset improvement target, the smart device is controlled to stop executing the adjustment strategy.

5. The method according to claim 1, characterized in that, After controlling the smart device to execute the adjustment strategy, the method further includes: Obtain sleep experience information from the target user; Based on the sleep experience information, determine the target light source intensity for improving the sleep of the target user; When the target user restarts the sleep improvement module, the lighting component is activated according to the target light source intensity.

6. A device for improving sleep, characterized in that, A smart device equipped with a sleep improvement module, the sleep improvement module including a light component, the device comprising: The acquisition module is configured to acquire the target user's historical sleep data. The determining module is configured to determine an adjustment strategy for the lighting components based on the historical sleep data and standard sleep data of the target user's type, including: comparing the historical sleep data with the standard sleep data of the target user's type to obtain a target comparison result; the historical sleep data includes the sleep duration and sleep percentage of each sleep stage, and the standard sleep data includes the standard sleep duration and standard sleep percentage of each sleep stage; and determining the adjustment strategy for the lighting components based on the target comparison result. The control module is configured to control the smart device to execute the adjustment strategy, so that the target user can improve sleep under the illumination of the light component; Wherein, if the target comparison result indicates that the sleep duration of at least one sleep stage is lower than the standard sleep duration of that stage, the adjustment strategy for the light component is determined to be to first control the light component to emit red light in the third target sleep stage, and then control the light component according to the comparison between the sleep percentage of each sleep stage and the standard sleep percentage of each sleep stage in the target comparison result; wherein, the third target sleep stage is the sleep stage where the sleep duration is lower than the standard sleep duration.

7. A device for improving sleep, comprising a processor and a memory storing program instructions, characterized in that, The processor is configured to perform the method for improving sleep as described in any one of claims 1 to 5 when executing the program instructions.

8. A storage medium storing program instructions, characterized in that, When the program instructions are executed, they perform the method for improving sleep as described in any one of claims 1 to 5.

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