WO2024239807A1 - 用于改善睡眠的方法、装置及存储介质 - Google Patents

用于改善睡眠的方法、装置及存储介质 Download PDF

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Publication number
WO2024239807A1
WO2024239807A1 PCT/CN2024/085739 CN2024085739W WO2024239807A1 WO 2024239807 A1 WO2024239807 A1 WO 2024239807A1 CN 2024085739 W CN2024085739 W CN 2024085739W WO 2024239807 A1 WO2024239807 A1 WO 2024239807A1
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WIPO (PCT)
Prior art keywords
sleep
target
data
standard
stage
Prior art date
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Ceased
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PCT/CN2024/085739
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English (en)
French (fr)
Inventor
苑红伟
陶瑞涛
吕守鹏
刘超英
魏伟
王龙
许升
付光军
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Qingdao Haier Smart Technology R&D Co Ltd
Haier Smart Home Co Ltd
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Qingdao Haier Smart Technology R&D Co Ltd
Haier Smart Home Co Ltd
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Publication of WO2024239807A1 publication Critical patent/WO2024239807A1/zh
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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Classifications

    • H—ELECTRICITY
    • H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
    • H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
    • H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
    • H05B47/10—Controlling the light source
    • H05B47/165—Controlling the light source following a pre-assigned programmed sequence; Logic control [LC]

Definitions

  • the present application relates to the technical field of sleep improvement, for example, to a method, device and storage medium for improving sleep.
  • the embodiments of the present disclosure provide a method, device, and storage medium for improving sleep, which can improve the sleep quality of a user more conveniently and effectively.
  • the method for improving sleep includes: obtaining 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 to facilitate the target user to improve their sleep under the illumination of the lighting component.
  • 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 component according to the target comparison result.
  • the method for improving sleep includes: when the target comparison result is that the historical sleep data is lower than the standard sleep data, determining the adjustment strategy of the light component is to control the light component to emit red light in the first target sleep stage; when the target comparison result is that the historical sleep data is higher than the standard sleep data, determining the adjustment strategy of the light component is to control the light component to emit green light in the second target sleep stage; wherein 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.
  • the method for improving sleep 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, comparing the sleep duration of each sleep stage with the standard sleep duration of each sleep stage as a target comparison result; when the historical sleep data is the sleep proportion of each sleep stage and the standard sleep data is the standard sleep proportion of each sleep stage, comparing the sleep proportion of each sleep stage with the standard sleep proportion of each sleep stage as a target comparison result.
  • 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 a third target sleep stage, and then controlling the light component according to the comparison between the sleep proportion of each sleep stage in the target comparison result and the standard sleep proportion of each sleep stage; wherein the third target sleep stage is a sleep stage whose sleep duration is lower than the standard sleep duration.
  • the method for improving sleep includes: obtaining a real-time sleep curve of a target user; and controlling a smart device to stop executing an adjustment strategy when the real-time sleep curve indicates that the target user's sleep is improved and reaches a preset improvement target.
  • the method for improving sleep includes: obtaining sleep perception information fed back by a target user; determining a target light source intensity for improving the target user's sleep based on the sleep perception information; and starting the lighting component according to the target light source intensity when the target user starts the sleep improvement module again.
  • 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 lighting 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, so that the target user can improve his or her sleep under the illumination of the lighting component.
  • the apparatus for improving sleep includes: a processor and a memory storing program instructions, and the processor is configured to execute the aforementioned method for improving sleep when running the program instructions.
  • the storage medium stores program instructions, and when the program instructions are executed, the aforementioned method for improving sleep is executed.
  • the method, device, and storage medium for improving sleep provided by the embodiments of the present disclosure can achieve the following technical effects: By obtaining the historical sleep data of the target user, and determining the adjustment strategy of the light component based on the historical sleep data and the standard sleep data of the target user's type, and then controlling the smart device to execute the adjustment strategy. In this way, it is possible to combine the historical sleep data and the standard sleep data of the target user's type to determine a more accurate adjustment strategy for the light component, so that when the smart device is controlled to execute the adjustment strategy, the target user can improve his sleep under the illumination of the light component, providing the user with a more convenient and effective sleep improvement solution, meeting the target user's personalized needs for smart devices, and realizing the functional diversification of smart devices.
  • FIG1 is a schematic diagram of a method for improving sleep provided by an embodiment of the present disclosure
  • FIG2 is a schematic diagram of a method for determining an adjustment strategy provided by an embodiment of the present disclosure
  • FIG3 is a schematic diagram of another method for determining an adjustment strategy provided by an embodiment of the present disclosure.
  • FIG4 is a schematic diagram of another method for improving sleep provided by an embodiment of the present disclosure.
  • FIG5 is a schematic diagram of a device for improving sleep provided by an embodiment of the present disclosure.
  • FIG6 is a schematic diagram of another device for improving sleep provided by an embodiment of the present disclosure.
  • FIG. 7 is a schematic diagram of a smart device provided by an embodiment of the present disclosure.
  • the character "/" indicates that the preceding and following objects are in an "or" relationship.
  • A/B indicates: A or B.
  • a and/or B means: A or B, or, A and B.
  • correspondence may refer to an association relationship or a binding relationship.
  • correspondence between A and B means that there is an association relationship or a binding relationship between A and B.
  • smart home appliances refer to home appliances that are formed by introducing microprocessors, sensor technology, and network communication technology into home appliances. They have the characteristics of intelligent control, intelligent perception, and intelligent application.
  • the operation process 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.
  • smart home appliances can be connected to electronic devices to enable users to remotely control and manage the smart home appliances.
  • the terminal device refers to an electronic device with a wireless connection function.
  • the terminal device can communicate with the above-mentioned smart home appliances by connecting to the Internet, or can directly communicate with the above-mentioned smart home appliances through Bluetooth, WiFi, etc.
  • the terminal device is, for example, a mobile device, a computer, or a vehicle-mounted device built into a hover car, or any combination thereof.
  • Mobile devices may include, for example, mobile phones, smart home devices, wearable devices, smart mobile devices, virtual reality devices, etc., or any combination thereof, wherein wearable devices include, for example: smart watches, smart bracelets, pedometers, etc.
  • the smart device is equipped with a sleep improvement module, and the sleep improvement module includes a lighting component.
  • the lighting component may be an LED lamp.
  • the smart device of this embodiment may be a smart TV, a smart air conditioner, a smart humidifier, or other device with a lighting component, which can control the lighting component to project light and illuminate the user's face as needed after the user falls asleep.
  • the smart device may be arranged around the smart bed to facilitate light projection after the user falls asleep.
  • the sleep improvement module further includes a shielding cover and/or a lens module.
  • a shielding cover and/or a lens module when the light assembly is controlled to project light, the projected light beam can be precisely focused on the user's face, so as to reduce the interference to other users who are not asleep in the room during the use of the sleep improvement module.
  • FIG1 is a schematic diagram of a method for improving sleep provided by an embodiment of the present disclosure; in conjunction with FIG1 , optionally, an embodiment of the present disclosure provides a method for improving sleep, including:
  • the smart device obtains historical sleep data of the target user.
  • the smart device determines an adjustment strategy for the lighting component according to the historical sleep data and the standard sleep data of the target user type.
  • 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 lighting component.
  • the smart device obtains the historical sleep data of the target user, including: the smart device obtains the sleep data of the target user for multiple days in the past week stored on the server, and screens the sleep data of the target user for multiple days to filter out unreasonable and invalid data; and averages the sleep data of multiple days remaining after filtering according to different sleep stages, and determines the average value as the historical sleep data of the target user.
  • the sleep stage can include light sleep, light sleep, moderate sleep, deep sleep and rapid eye movement sleep.
  • the sleep data obtained is the sleep duration of each sleep stage over multiple days
  • the sleep data remaining for multiple days after filtering includes 1.6 hours of REM sleep and 3.5 hours of deep sleep on the first day (the aforementioned deep sleep period is referred to as deep sleep); 1.2 hours of REM sleep and 3.8 hours of deep sleep on the second day; 1.3 hours of REM sleep and 4 hours of deep sleep on the third day; 1.9 hours of REM sleep and 3.6 hours of deep sleep on the fourth day; then after averaging, the historical sleep data of the target user is determined to be 1.5 hours of REM sleep and 3.725 hours of deep sleep. In this way, the historical sleep data of the target user can be accurately determined.
  • the user can pre-set filtering rules for invalid data to filter out sleep data that does not conform to the user's sleep pattern.
  • the filtering rules for invalid data can be to determine the sleep data of the day with a total sleep time of no more than 4 hours as invalid data.
  • the user's total sleep time is more than 8 hours, and the sleep data collection device confirms that the user's total sleep time is 2 hours, then the sleep data is also invalid data. In this way, the accuracy of historical sleep data can be ensured by filtering out invalid data.
  • the sleep data of multiple days is generally the sleep data of at least four days in the past week.
  • it can be continuous sleep data from Monday to Thursday in the past week, or it can be intermittent sleep data from Monday, Wednesday, Thursday, and Friday.
  • the sleep data of multiple days can also be sleep data of ten days or five days. In this way, the historical sleep status of the user can be comprehensively judged by obtaining multiple samples.
  • the sleep data includes the sleep duration of each sleep stage and/or the sleep ratio of each stage.
  • the total sleep duration refers to the time from the user entering the sleep stage to the time of waking up.
  • the smart device can also obtain standard sleep data of the type to which the target user belongs.
  • the type to which the target user belongs can be an adult man, an adult woman, an elderly person, a child, a pregnant woman, etc.
  • the smart device can collect image information of the target user through its associated image acquisition device, and extract the user's appearance features from the image information to identify the type to which the user belongs.
  • the standard sleep data associated with the type to which the user belongs can be matched in the server associated with the smart device, and it can be determined as the standard sleep data of the type to which the target user belongs. In this way, accurate acquisition of standard sleep data of the type to which the target user belongs can be achieved.
  • the smart device can determine the target user's sleep status based on historical sleep data and standard sleep data of the target user's type. Determine the adjustment strategy of the light component. Specifically, the smart device determines the adjustment strategy of the light component according to the historical sleep data and the standard sleep data of the type to which the target user belongs, including: the smart device compares the historical sleep data with the standard sleep data of the type to which the target user belongs to obtain a target comparison result. The smart device determines the adjustment strategy of the light component according to the target comparison result. Among them, the adjustment strategy of the light component may include a light color adjustment strategy and/or a light brightness adjustment strategy.
  • the adjustment strategy of the light component can be accurately determined in combination with the comparison of the historical sleep data and the standard sleep data of the type to which the target user belongs. Furthermore, the smart device can control the smart device to execute the adjustment strategy, so as to facilitate the target user to improve sleep under the illumination of the light component.
  • the method for improving sleep provided by the embodiment of the present disclosure is adopted to obtain the historical sleep data of the target user; and determine the adjustment strategy of the light component according to the historical sleep data and the standard sleep data of the type to which the target user belongs; and then control the smart device to execute the adjustment strategy.
  • FIG2 is a schematic diagram of a method for determining an adjustment strategy provided by an embodiment of the present disclosure; in conjunction with FIG2 , optionally, in S12, the smart device determines an adjustment strategy for a light component according to historical sleep data and standard sleep data of the type to which the target user belongs, including:
  • the smart device compares the historical sleep data with the standard sleep data of the type to which the target user belongs to obtain a target comparison result.
  • the smart device determines an adjustment strategy for the lighting component according to the target comparison result.
  • the smart device can compare the historical sleep data with the standard sleep data of the type to which the target user belongs, specifically including the following three situations: the first situation: 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 smart device compares the sleep duration of each sleep stage with the standard sleep duration of each sleep stage respectively, as a target comparison result; the second situation: when the historical sleep data is the sleep ratio of each sleep stage and the standard sleep data is the standard sleep ratio of each sleep stage, the smart device compares the sleep ratio of each sleep stage with the standard sleep ratio of each sleep stage respectively, as a target comparison result; the third situation: when the historical sleep data includes the sleep duration of each sleep stage and the sleep ratio of each sleep stage, and the standard sleep data includes the standard sleep duration of each sleep stage and the standard sleep ratio of each sleep stage, the smart device compares the sleep duration of each sleep stage with the standard sleep duration of each sleep stage respectively, to obtain a first comparison result; the smart device compares the sleep ratio of each sleep stage with the standard sleep duration of
  • FIG3 is a schematic diagram of another method for determining an adjustment strategy provided by an embodiment of the present disclosure; in conjunction with FIG3 , optionally, in S22, the smart device determines an adjustment strategy for a lighting component according to a target comparison result, including:
  • the smart device determines that the adjustment strategy of the light component is to control the light component to emit red light in the first target sleep stage.
  • the smart device determines that the adjustment strategy of the light component is to control the light component to emit green light in the second target sleep stage.
  • the first target sleep stage is a sleep stage in which the historical sleep data is lower than the standard sleep data
  • the second target sleep stage is a sleep stage in which the historical sleep data is higher than the standard sleep data
  • the adjustment strategy of the light component can be determined in combination with the target comparison results.
  • the adjustment strategy of the light component is the light color adjustment strategy.
  • the smart device determines the adjustment strategy of the light component according to the target comparison result, including: when the target comparison result is that the historical sleep data is lower than the standard sleep data, the smart device determines the adjustment strategy of the light component to control the light component to emit red light in the first target sleep stage.
  • the first target sleep stage is the sleep stage where the historical sleep data is lower than the standard sleep data.
  • the smart device determines the adjustment strategy of the light component to control the light component to emit red light in the deep sleep period.
  • the characteristics of red light promoting sleep can be used to determine an adjustment strategy that can improve the sleep quality of the deep sleep period, so that the target user in the deep sleep period can extend the sleep duration and/or the sleep ratio of the deep sleep period under the irradiation of red light, providing users with a better sleep quality control solution.
  • the smart device determines the adjustment strategy of the light component according to the target comparison result, including: when the target comparison result is that the historical sleep data is higher than the standard sleep data, the smart device determines the adjustment strategy of the light component to control the light component to emit green light in the second target sleep stage.
  • the second target sleep stage is the sleep stage where 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 in REM sleep. In this way, when it is determined that the user sleeps too much in REM sleep, the characteristic of green light suppressing sleep can be used to determine an adjustment strategy that can reduce REM sleep, so that the target user in REM sleep can reduce the sleep duration and/or sleep ratio of REM sleep under the irradiation of green light, providing users with a better sleep quality control solution.
  • the adjustment strategy of the light component includes: a light color adjustment strategy and a light brightness adjustment strategy.
  • the smart device determines the adjustment strategy of the light component according to the target comparison result, including: when the target comparison result is that the historical sleep data is far lower than the standard sleep data, the smart device determines the adjustment strategy of the light component to control the light component to emit red light in the first target sleep stage while displaying the brightness according to the first target light source intensity; when the target comparison result is that the historical sleep data is close to and lower than the standard sleep data, the smart device determines the adjustment strategy of the light component to control the light component to emit red light in the first target sleep stage while displaying the brightness according to the second target light source intensity.
  • the first target light source intensity >the second target light source intensity.
  • the secretion rate of melatonin can be adjusted by adjusting the display brightness of red light, thereby meeting the user's demand for the accuracy of sleep quality adjustment of smart devices.
  • the adjustment strategy of the light component includes: a light color adjustment strategy and a light brightness adjustment strategy.
  • the smart device determines the adjustment strategy of the light component according to the target comparison result, including: when the target comparison result is that the historical sleep data is much 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 in the second target sleep stage while displaying the brightness according to the third target light source intensity; when the target comparison result is that the historical sleep data is close to and 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 in the second target sleep stage while displaying the brightness according to the fourth target light source intensity.
  • the secretion rate of melatonin can be adjusted by adjusting the display brightness of green light, thereby meeting the user's demand for the accuracy of sleep quality adjustment of smart devices.
  • the smart device compares the historical sleep data with the standard sleep data of the type to which the target user belongs to obtain a target comparison result, including:
  • the smart device compares the sleep duration of each sleep stage with the standard sleep duration of each sleep stage as a target comparison result.
  • the smart device compares the sleep ratio of each sleep stage with the standard sleep ratio of each sleep stage. Compare to target comparison results.
  • the smart device compares the sleep duration of each sleep stage with the standard sleep duration of each sleep stage as the target comparison result.
  • the historical sleep data includes a sleep duration of 1.6 hours in the REM sleep period and a sleep duration of 3.8 hours in the deep sleep period; the standard sleep duration of the REM sleep period is 1.8 hours and the standard sleep duration of the deep sleep period is 3.9 hours.
  • the sleep duration of 1.6 hours in the REM sleep period in the historical sleep data can be compared with the standard sleep duration of 1.8 hours in the REM sleep period, and the sleep duration of 3.8 hours in the deep sleep period in the historical sleep data can be compared with the standard sleep duration of 3.9 hours in the deep sleep period, so as to determine that the target comparison result is that the sleep duration of the REM sleep period is lower than the standard sleep duration of the REM sleep period and the sleep duration of the deep sleep period is lower than the standard sleep duration of the deep sleep period.
  • the target comparison result can be accurately determined by combining the sleep duration of each sleep stage and the standard sleep duration of each sleep stage.
  • the smart device compares the sleep ratio of each sleep stage with the standard sleep ratio of each sleep stage as the target comparison result.
  • the historical sleep data includes a sleep ratio of 0.2 in the REM sleep period and a sleep ratio of 0.4 in the deep sleep period; the standard sleep ratio of 0.25 in the REM sleep period and the standard sleep ratio of 0.5 in the deep sleep period.
  • the sleep ratio of 0.2 in the REM sleep period in the historical sleep data can be compared with the standard sleep ratio of 0.25 in the REM sleep period
  • the sleep ratio of 0.4 in the deep sleep period in the historical sleep data can be compared with the standard sleep ratio of 0.5 in the deep sleep period to determine that the target comparison result is that the sleep ratio of the REM sleep period is lower than the standard sleep ratio of the REM sleep period and the sleep ratio of the deep sleep period is lower than the standard sleep ratio of the deep sleep period.
  • the target comparison result can be accurately determined by combining the sleep ratio of each sleep stage and the standard sleep ratio of each sleep stage.
  • the smart device determines an adjustment strategy for the lighting component according to the target comparison result, including:
  • the smart device determines 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 control the light component according to the comparison between the sleep proportion of each sleep stage in the target comparison result and the standard sleep proportion of each sleep stage.
  • the third target sleep stage is a sleep stage in which the sleep duration is shorter than the standard sleep duration.
  • the sleep duration of each sleep stage can be compared with the standard sleep duration of each sleep stage to obtain a first comparison result; the smart device compares the sleep ratio of each sleep stage with the standard sleep ratio of each sleep stage to obtain a first comparison result. Obtain a second comparison result; the smart device uses the first comparison result and the second comparison result as the target comparison result.
  • the smart device determines 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 control the light component according to the second comparison result in the target comparison result, i.e., the comparison between the sleep proportion of each sleep stage and the standard sleep proportion of each sleep stage.
  • the sleep duration can be adjusted first, so as to give priority to correcting the sleep duration of each stage of the target user after falling asleep, and meet the user's demand for sleep quality adjustment.
  • FIG4 is a schematic diagram of another method for improving sleep provided by an embodiment of the present disclosure; in conjunction with FIG4 , optionally, after controlling the smart device to execute the adjustment strategy, the method further includes:
  • the smart device obtains a real-time sleep curve of the target user.
  • the smart device controls the smart device to stop executing the adjustment strategy.
  • the smart device can output a real-time sleep curve through the millimeter wave radar module of the smart device or the millimeter wave radar device associated with the smart device.
  • the real-time sleep curve can extract information such as the target user's sleeping time, waking time, and sleep stages of each sleep stage. In this way, the real-time sleep curve can be accurately obtained.
  • the smart device can analyze the acquired real-time sleep curve to determine whether the target user's sleep has been improved and reached the preset improvement goal. Specifically, it can be determined in the following way that the target user's sleep has been improved and reached the preset improvement goal: if the historical sleep data is lower than the standard sleep data, and the real-time sleep curve indicates that the sleep data of this sleep stage is on an upward trend and reaches the standard sleep data, then it is determined that the target user's sleep has been improved and reached the preset improvement goal; if the historical sleep data is higher than the standard sleep data, and the real-time sleep curve indicates that the sleep data of this sleep stage is on a downward trend and reaches the standard sleep data, then it is determined that the target user's sleep has been improved and reached the preset improvement goal. In this way, the data shown in the real-time sleep curve can be accurately analyzed.
  • the change trend of sleep data in the sleep stage can be determined in the following way: after the user falls asleep, the sleep data of the same sleep stage in each sleep cycle can be obtained in sequence, so as to infer the change trend of the sleep data in the sleep stage in sequence.
  • the smart device can control it to stop executing the adjustment strategy. In this way, the stop time of sleep adjustment is accurately determined, meeting the target user's energy-saving control needs for smart devices.
  • the adjustment strategy will not be implemented for the sleep stage of the next few sleep cycles of this sleep event. It meets the target users' demand for energy-saving control of smart devices.
  • the method further includes:
  • the smart device obtains the sleep feeling information fed back by the target user.
  • the smart device determines the target light source intensity for improving the sleep of the target user based on the sleep perception information.
  • the smart device starts the lighting component according to the target light source intensity.
  • the sleep feeling information fed back by the target user can be obtained after the smart device is controlled to execute the adjustment strategy.
  • the sleep feeling information can be in various forms, for example, the light source intensity during deep sleep is strong, or the sleep duration/proportion during deep sleep is reduced, etc.
  • its form is not specifically limited.
  • the smart device can determine the target light source intensity for improving the target user's sleep in combination with the sleep perception information.
  • the sleep perception information shows that the light source intensity is strong during deep sleep
  • the set light source intensity gear can be obtained; if the set light source intensity gear is high, the target light source intensity for improving the target user's sleep is determined to be a medium-level intensity; if the set light source intensity gear is medium, the target light source intensity for improving the target user's sleep is determined to be a low-level intensity. In this way, the target light source intensity can be accurately determined.
  • the smart device can start the lighting component according to the target light source intensity when the target user starts the sleep improvement module again. In this way, it is possible to more reasonably meet the target user's light source intensity adjustment needs while improving the target user's sleep.
  • the smart device can also learn the target user's optimal energy matching value for the light source, and then adjust the light source brightness of the lighting component based on the optimal energy matching value to achieve better sleep improvement effects, making the sleep improvement solution implemented in this way more in line with the target user's light source intensity preference.
  • the smart device if it is equipped with a millimeter-wave radar module or is associated with a millimeter-wave radar device, it can detect the distance information between the light component and the user's face, match the light source intensity value of the light component based on the distance information, and adjust the light component according to the light source intensity value. In this way, the loss in the light propagation process can be comprehensively considered to determine the light source intensity, providing an accurate data basis for the precise control of the light component.
  • FIG5 is a schematic diagram of a device for improving sleep provided by an embodiment of the present disclosure; in combination with FIG5 , an embodiment of the present disclosure provides a device 50 for improving sleep, comprising an acquisition module 51, a determination module 52 and a control module 53.
  • the acquisition module 51 is configured to acquire the historical sleep data of the target user;
  • the determination module 52 is configured to determine the adjustment strategy of the light component according to the historical sleep data and the standard sleep data of the type to which the target user belongs;
  • the control module 53 is configured to control the smart device to execute the adjustment strategy, so that the target user can improve his sleep under the illumination of the light component.
  • the device for improving sleep provided by the embodiment of the present disclosure is used to obtain historical sleep data of a target user; And according to the historical sleep data and the standard sleep data of the target user's type, the adjustment strategy of the light component is determined; and then the smart device is controlled to execute the adjustment strategy.
  • the historical sleep data and the standard sleep data of the target user's type can be combined to determine a more accurate adjustment strategy of the light component, so that when the smart device is controlled to execute the adjustment strategy, the target user can improve his sleep under the illumination of the light component, providing users with a more convenient and effective sleep improvement solution, meeting the target user's personalized needs for smart devices, and realizing the functional diversification of smart devices.
  • FIG6 is a schematic diagram of another device 60 for improving sleep provided by an embodiment of the present disclosure; in combination with FIG6 , an embodiment of the present disclosure provides a device for improving sleep, including a processor 100 and a memory 101.
  • the device may also include a communication interface 102 and a bus 103.
  • the processor 100, the communication interface 102, and the memory 101 may communicate with each other through the bus 103.
  • the communication interface 102 may be used for information transmission.
  • the processor 100 may call the logic instructions in the memory 101 to execute the method for improving sleep of the above embodiment.
  • logic instructions in the memory 101 described above may be implemented in the form of software functional units and when sold or used as independent products, may be stored in a computer-readable storage medium.
  • the memory 101 is a computer-readable storage medium that can be used to store software programs and computer executable programs, such as program instructions/modules corresponding to the method in the embodiment of the present disclosure.
  • the processor 100 executes the functional application and data processing by running the program instructions/modules stored in the memory 101, that is, implementing the method for improving sleep in the above embodiment.
  • the memory 101 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and an application required for at least one function; the data storage area may store data created according to the use of the terminal device, etc.
  • the memory 101 may include a high-speed random access memory and may also include a non-volatile memory.
  • An embodiment of the present disclosure provides a smart device, comprising the above-mentioned apparatus for improving sleep.
  • an embodiment of the present disclosure provides a smart device 70 , comprising the above-mentioned apparatus 50 ( 60 ) for improving sleep.
  • the smart device 70 of the embodiment of the present disclosure also includes: a smart device body, and the above-mentioned device 50 (60) for improving sleep, and the device 50 (60) for improving sleep is installed in the smart device body.
  • the installation relationship described here is not limited to placement inside the smart device, but also includes installation connections with other components, including but not limited to physical connections, electrical connections or signal transmission connections.
  • the device 50 (60) for improving sleep can be adapted to a feasible device body, such as a floor lamp, a table lamp, an atmosphere lamp or other electrical equipment equipped with a light-emitting device, so as to realize other feasible embodiments.
  • the smart device can illuminate the user's eyes after the user falls asleep, or it can be other bedside smart devices with several external lighting components on the surface.
  • An embodiment of the present disclosure provides a computer-readable storage medium storing computer-executable instructions, wherein the computer-executable instructions are configured to execute the above-mentioned method for improving sleep.
  • An embodiment of the present disclosure provides a computer program product, which includes a computer program stored on a computer-readable storage medium, and the computer program includes program instructions.
  • the program instructions When the program instructions are executed by a computer, the computer executes the above-mentioned method for improving sleep.
  • the embodiment of the present disclosure provides a computer program, which, when executed by a computer, enables the computer to implement the above-mentioned method for improving sleep.
  • the computer-readable storage medium mentioned above may be a transient computer-readable storage medium or a non-transitory computer-readable storage medium.
  • the technical solution of the embodiment of the present disclosure can be embodied in the form of a software product, which is stored in a storage medium and includes one or more instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in the embodiment of the present disclosure.
  • the aforementioned storage medium may be a non-transient storage medium, including: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes, or a transient storage medium.
  • the term “and/or” as used in this application refers to any and all possible combinations of listings containing one or more associated ones.
  • the term “comprise” and its variants “comprises” and/or comprising refer to the presence of stated features, wholes, steps, operations, elements, and/or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and/or groups thereof.
  • the elements defined by the sentence “comprising a " do not exclude the presence of other identical elements in the process, method or device comprising the elements.
  • each embodiment may focus on the differences from other embodiments, and the same and similar parts between the various embodiments may refer to each other.
  • the relevant parts can refer to the description of the method part.
  • the disclosed methods and products can be implemented in other ways.
  • the device embodiments described above are only schematic.
  • the division of the units can be only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed.
  • the coupling or direct coupling or communication connection between each other shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.
  • each functional unit in the embodiment of the present disclosure may be integrated in a processing unit, or each unit may exist physically alone, or two or more units may be integrated in one unit.
  • each box in the flowchart or block diagram can represent a module, a program segment or a part of the code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function.
  • the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, which can depend on the functions involved.

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Abstract

本申请涉及睡眠改善技术领域，公开一种用于改善睡眠的方法，包括：获取目标用户的历史睡眠数据；根据历史睡眠数据及目标用户所属类型的标准睡眠数据，确定灯光组件的调节策略；控制智能设备执行调节策略，便于目标用户在灯光组件的照射下进行睡眠改善。以此方式，能够结合历史睡眠数据及目标用户所属类型的标准睡眠数据，确定更加精准地灯光组件的调节策略，以在控制智能设备执行调节策略的情况下，使目标用户能够在灯光组件的照射下进行睡眠改善，为用户提供了一种更加便捷、有效地睡眠改善方案，满足了目标用户对智能设备的个性化控制需求，实现了智能设备的功能多样化。本申请还公开一种用于改善睡眠的装置及存储介质。

Description

用于改善睡眠的方法、装置及存储介质
本申请基于申请号为202310575134.5、申请日为2023年5月19日的中国专利申请提出，并要求该中国专利申请的优先权，该中国专利申请的全部内容在此引入本申请作为参考。
技术领域
本申请涉及睡眠改善技术领域，例如涉及一种用于改善睡眠的方法、装置及存储介质。
背景技术
随着人民的生活水平不断提高，智能设备也逐渐走入用户的生活。目前，智能设备的出现给用户带来了更加便利的生活，同时利用智能设备进行用户的睡眠改善也成为了大众关注的焦点。
现阶段，用户可以通过佩戴智能生物钟眼镜改善用户的睡眠状况，但该产品需要在用户使用时进行佩戴，一旦用户入睡后眼镜脱落，或用户对佩戴类产品抵触，出现不愿意佩戴智能生物钟眼镜的情况，将无法对用户的睡眠状况进行改善。
需要说明的是，在上述背景技术部分公开的信息仅用于加强对本申请的背景的理解，因此可以包括不构成对本领域普通技术人员已知的现有技术的信息。
发明内容
为了对披露的实施例的一些方面有基本的理解，下面给出了简单的概括。所述概括不是泛泛评述，也不是要确定关键/重要组成元素或描绘这些实施例的保护范围，而是作为后面的详细说明的序言。
本公开实施例提供了一种用于改善睡眠的方法、装置及存储介质，能够更加便捷、有效地改善用户的睡眠质量。
在一些实施例中，所述用于改善睡眠的方法包括：获取目标用户的历史睡眠数据；根据历史睡眠数据及目标用户所属类型的标准睡眠数据，确定灯光组件的调节策略；控制智能设备执行调节策略，便于目标用户在灯光组件的照射下进行睡眠改善。
在一些实施例中，所述用于改善睡眠的方法包括：将历史睡眠数据与目标用户所属类型的标准睡眠数据进行比较，以获得目标比较结果；根据目标比较结果，确定灯光组件的调节策略。
在一些实施例中，所述用于改善睡眠的方法包括：在目标比较结果为历史睡眠数据低于标准睡眠数据的情况下，确定灯光组件的调节策略为控制灯光组件在第一目标睡眠阶段发射红光；在目标比较结果为历史睡眠数据高于标准睡眠数据的情况下，确定灯光组件的调节策略为控制灯光组件在第二目标睡眠阶段发射绿光；其中，第一目标睡眠阶段为历史睡眠数据低于标准睡眠数据的睡眠阶段，第二目标睡眠阶段为历史睡眠数据高于标准睡眠数据的睡眠阶段。
在一些实施例中，所述用于改善睡眠的方法包括：在历史睡眠数据为各睡眠阶段的睡眠时长且标准睡眠数据为各睡眠阶段的标准睡眠时长的情况下，将各睡眠阶段的睡眠时长分别与各睡眠阶段的标准睡眠时长进行对比，以作为目标比较结果；在历史睡眠数据为各睡眠阶段的睡眠占比且标准睡眠数据为各睡眠阶段的标准睡眠占比的情况下，将各睡眠阶段的睡眠占比分别与各睡眠阶段的标准睡眠占比进行对比，以作为目标比较结果。
在一些实施例中，所述用于改善睡眠的方法包括：在目标比较结果表示至少有一个睡眠阶段的睡眠时长低于该阶段的标准睡眠时长的情况下，确定灯光组件的调节策略为先控制灯光组件在第三目标睡眠阶段发射红光，再按照目标比较结果中各睡眠阶段的睡眠占比与各睡眠阶段的标准睡眠占比的对比情况进行灯光组件的控制；其中，第三目标睡眠阶段为睡眠时长低于标准睡眠时长的睡眠阶段。
在一些实施例中，所述用于改善睡眠的方法包括：获取目标用户的实时睡眠曲线；在实时睡眠曲线表示目标用户睡眠得到改善且达到预设改善目标的情况下，控制智能设备停止执行调节策略。
在一些实施例中，所述用于改善睡眠的方法包括：获取目标用户反馈的睡眠感受信息；根据睡眠感受信息，确定用于改善目标用户睡眠的目标光源强度；在目标用户再次启动睡眠改善模块的情况下，按照目标光源强度启动灯光组件。
在一些实施例中，所述用于改善睡眠的装置包括：获取模块，被配置为获取目标用户的历史睡眠数据；确定模块，被配置为根据历史睡眠数据及目标用户所属类型的标准睡眠数据，确定灯光组件的调节策略；控制模块，被配置为控制智能设备执行调节策略，便于目标用户在灯光组件的照射下进行睡眠改善。
在一些实施例中，所述用于改善睡眠的装置包括：处理器和存储有程序指令的存储器，处理器被配置为在运行程序指令时，执行前述的用于睡眠改善的方法。
在一些实施例中，所述存储介质存储有程序指令，程序指令在运行时，执行前述的用于睡眠改善的方法。
本公开实施例提供的用于改善睡眠的方法、装置及存储介质，可以实现以下技术效果： 通过获取目标用户的历史睡眠数据；并根据历史睡眠数据及目标用户所属类型的标准睡眠数据，确定灯光组件的调节策略；进而控制智能设备执行调节策略。以此方式，能够结合历史睡眠数据及目标用户所属类型的标准睡眠数据，确定更加精准地灯光组件的调节策略，以在控制智能设备执行调节策略的情况下，目标用户能够在灯光组件的照射下进行睡眠改善，为用户提供了一种更加便捷、有效地睡眠改善方案，满足了目标用户对智能设备的个性化需求，实现了智能设备的功能多样化。
以上的总体描述和下文中的描述仅是示例性和解释性的，不用于限制本申请。
附图说明
一个或多个实施例通过与之对应的附图进行示例性说明，这些示例性说明和附图并不构成对实施例的限定，附图中具有相同参考数字标号的元件示为类似的元件，附图不构成比例限制，并且其中：
图1是本公开实施例提供的一个用于改善睡眠的方法示意图；
图2是本公开实施例提供的一个用于确定调节策略的方法示意图；
图3是本公开实施例提供的另一个用于确定调节策略的方法示意图；
图4是本公开实施例提供的另一个用于改善睡眠的方法示意图；
图5是本公开实施例提供的一个用于改善睡眠的装置示意图；
图6是本公开实施例提供的另一个用于改善睡眠的装置示意图；
图7是本公开实施例提供的一个智能设备的示意图。
具体实施方式
为了能够更加详尽地了解本公开实施例的特点与技术内容，下面结合附图对本公开实施例的实现进行详细阐述，所附附图仅供参考说明之用，并非用来限定本公开实施例。在以下的技术描述中，为方便解释起见，通过多个细节以提供对所披露实施例的充分理解。然而，在没有这些细节的情况下，一个或多个实施例仍然可以实施。在其它情况下，为简化附图，熟知的结构和装置可以简化展示。
本公开实施例的说明书和权利要求书及上述附图中的术语“第一”、“第二”等是用于区别类似的对象，而不必用于描述特定的顺序或先后次序。应该理解这样使用的数据在适当情况下可以互换，以便这里描述的本公开实施例的实施例。此外，术语“包括”和“具有”以及他们的任何变形，意图在于覆盖不排他的包含。
除非另有说明，术语“多个”表示两个或两个以上。
本公开实施例中，字符“/”表示前后对象是一种“或”的关系。例如，A/B表示：A或B。
术语“和/或”是一种描述对象的关联关系，表示可以存在三种关系。例如，A和/或B，表示：A或B，或，A和B这三种关系。
术语“对应”可以指的是一种关联关系或绑定关系，A与B相对应指的是A与B之间是一种关联关系或绑定关系。
本公开实施例中，智能家电设备是指将微处理器、传感器技术、网络通信技术引入家电设备后形成的家电产品，具有智能控制、智能感知及智能应用的特征，智能家电设备的运作过程往往依赖于物联网、互联网以及电子芯片等现代技术的应用和处理，例如智能家电设备可以通过连接电子设备，实现用户对智能家电设备的远程控制和管理。
本公开实施例中，终端设备是指具有无线连接功能的电子设备，终端设备可以通过连接互联网，与如上的智能家电设备进行通信连接，也可以直接通过蓝牙、wifi等方式与如上的智能家电设备进行通信连接。在一些实施例中，终端设备例如为移动设备、电脑、或悬浮车中内置的车载设备等，或其任意组合。移动设备例如可以包括手机、智能家居设备、可穿戴设备、智能移动设备、虚拟现实设备等，或其任意组合，其中，可穿戴设备例如包括：智能手表、智能手环、计步器等。
在本实施例中，智能设备配置有睡眠改善模块，睡眠改善模块包括灯光组件。其中，灯光组件可以为LED灯。作为一种示例，本实施例的智能设备可以为具备灯光组件的智能电视、智能空调、智能加湿器等设备，该设备能够控制灯光组件进行灯光投射，并在用户入睡后按需照射于用户面部。作为优选方案，智能设备可以设置于智能床周侧，便于用户入睡后进行灯光投射。
可选地，睡眠改善模块还包括遮蔽罩和/或透镜模组。以此方式，通过加装遮蔽罩和/或透镜模组，能够在灯光组件受控进行灯光投射时，使投射出的光柱精准聚焦于用户的面部，以降低睡眠改善模块使用过程中对其他室内未入睡的用户造成的干扰。
图1是本公开实施例提供的一个用于改善睡眠的方法示意图；结合图1所示，可选地，本公开实施例提供一种用于改善睡眠的方法，包括：
S11，智能设备获取目标用户的历史睡眠数据。
S12，智能设备根据历史睡眠数据及目标用户所属类型的标准睡眠数据，确定灯光组件的调节策略。
S13，智能设备控制智能设备执行调节策略，便于目标用户在灯光组件的照射下进行睡眠改善。
在本方案中，智能设备获取目标用户的历史睡眠数据，包括：智能设备获取服务端存储的目标用户在过去一周内多天的睡眠数据，并对目标用户多天的睡眠数据进行筛选，以滤除不合理的无效数据；并将经滤除后剩余的多天的睡眠数据按照不同的睡眠阶段进行平均处理，并将其平均值确定为目标用户的历史睡眠数据。其中，睡眠阶段可以包括浅睡眠期、轻度睡眠期、中度睡眠期、深度睡眠期及快速动眼睡眠期。例如，若获取的睡眠数据为多天内各睡眠阶段的睡眠时长，则经滤除后剩余的多天的睡眠数据包括第一天快速动眼睡眠期1.6小时，深睡期为3.5小时(前述深度睡眠期简称深睡期)；第二天快速动眼睡眠期为1.2小时，深睡期为3.8小时；第三天快速动眼睡眠期1.3小时，深睡期为4小时；第四天快速动眼睡眠期1.9小时，深睡期为3.6小时；则经平均计算后，确定目标用户的历史睡眠数据为快速动眼睡眠期1.5小时，深睡期为3.725小时。这样，能够实现目标用户的历史睡眠数据的精准确定。
可选地，用户可以预先设定无效数据的筛选规则，以滤除不符合用户睡眠规律的睡眠数据。例如，本案针对的并非是所有睡眠事件，即午睡与小憩不属于本案的研究范畴，因此无效数据的筛选规则可以为将总睡眠时长不超过4小时的当天的睡眠数据确定为无效数据。或者，由于睡眠数据采集设备采集失误引起的明显数据错误，例如，用户总睡眠时长在8小时以上，睡眠数据采集设备确认定该用户总睡眠时长为2小时，则该睡眠数据也为无效数据。以此方式，能够通过滤除无效数据，确保获取历史睡眠数据的准确性。
在本实施例中，多天的睡眠数据一般为过去一周内至少四天的睡眠数据。例如，可以为过去一周内周一至周四的连续性的睡眠数据，或者可以为周一、周三、周四、周五的间断性的睡眠数据。作为一种优选方案，多天的睡眠数据还可以为十天或者五天的睡眠数据。这样，以通过多样本的获取综合判断用户的历史睡眠情况。
在本实施例中，睡眠数据包括各睡眠阶段的睡眠时长和/或各阶段的睡眠占比。睡眠阶段的睡眠时长为用户处于该睡眠阶段的时长，睡眠阶段的睡眠占比＝该睡眠阶段的睡眠时长/总睡眠时长。其中，总睡眠时长是指用户从进入睡眠阶段到清醒时刻之间的时长。
进一步地，智能设备还可以获取目标用户所属类型的标准睡眠数据。这里，目标用户的所属类型可以为成年男人、成年女人、老人、儿童、孕妇等。具体地，智能设备可以通过其关联的图像采集装置采集目标用户地图像信息，并在图像信息中提取出用户的外貌特征，以辨别该用户的所属类型。进一步地，可以在智能设备关联的服务端中匹配出与该用户的所属类型相关联的标准睡眠数据，并将其确定为目标用户所属类型的标准睡眠数据。这样，能够实现目标用户所属类型的标准睡眠数据的精准获取。
进一步地，智能设备可以根据历史睡眠数据及目标用户所属类型的标准睡眠数据，确 定灯光组件的调节策略。具体地，智能设备根据历史睡眠数据及目标用户所属类型的标准睡眠数据，确定灯光组件的调节策略，包括：智能设备将历史睡眠数据与目标用户所属类型的标准睡眠数据进行比较，以获得目标比较结果。智能设备根据目标比较结果，确定灯光组件的调节策略。其中，灯光组件的调节策略可以包括灯光颜色调节策略和/或灯光亮度调节策略。以此方式，能够结合历史睡眠数据及目标用户所属类型的标准睡眠数据的比较情况，实现灯光组件的调节策略的精准确定。进一步地，智能设备可以控制智能设备执行调节策略，便于目标用户在灯光组件的照射下进行睡眠改善。
采用本公开实施例提供的用于改善睡眠的方法，通过获取目标用户的历史睡眠数据；并根据历史睡眠数据及目标用户所属类型的标准睡眠数据，确定灯光组件的调节策略；进而控制智能设备执行调节策略。以此方式，能够结合历史睡眠数据及目标用户所属类型的标准睡眠数据，确定更加精准地灯光组件的调节策略，以在控制智能设备执行调节策略的情况下，目标用户能够在灯光组件的照射下进行睡眠改善，为用户提供了一种更加便捷、有效地睡眠改善方案，满足了目标用户对智能设备的个性化需求，实现了智能设备的功能多样化。
图2是本公开实施例提供的一个用于确定调节策略的方法示意图；结合图2所示，可选地，S12，智能设备根据历史睡眠数据及目标用户所属类型的标准睡眠数据，确定灯光组件的调节策略，包括：
S21，智能设备将历史睡眠数据与目标用户所属类型的标准睡眠数据进行比较，以获得目标比较结果。
S22，智能设备根据目标比较结果，确定灯光组件的调节策略。
在本实施例中，智能设备可以将历史睡眠数据与目标用户所属类型的标准睡眠数据进行比较，具体包括以下三种情况：第一种情况：在历史睡眠数据为各睡眠阶段的睡眠时长且标准睡眠数据为各睡眠阶段的标准睡眠时长的情况下，智能设备将各睡眠阶段的睡眠时长分别与各睡眠阶段的标准睡眠时长进行对比，以作为目标比较结果；第二种情况：在历史睡眠数据为各睡眠阶段的睡眠占比且标准睡眠数据为各睡眠阶段的标准睡眠占比的情况下，智能设备将各睡眠阶段的睡眠占比分别与各睡眠阶段的标准睡眠占比进行对比，以作为目标比较结果；第三种情况：在历史睡眠数据包括各睡眠阶段的睡眠时长及各睡眠阶段的睡眠占比，标准睡眠数据包括各睡眠阶段的标准睡眠时长及各睡眠阶段的标准睡眠占比的情况下，智能设备将各睡眠阶段的睡眠时长分别与各睡眠阶段的标准睡眠时长进行对比，以获得第一比较结果；智能设备将各睡眠阶段的睡眠占比分别与各睡眠阶段的标准睡眠占比进行对比，以获得第二比较结果；智能设备将第一比较结果及第二比较结果作为目 标比较结果。以此方案，能够获取更加精准地目标比较结果。进一步地，智能设备可以结合已获取的目标比较结果，确定灯光组件的调节策略。这样，能够获取更加精准地灯光组件的调节策略，为智能设备的控制提供了精准地数据基础。
图3是本公开实施例提供的另一个用于确定调节策略的方法示意图；结合图3所示，可选地，S22，智能设备根据目标比较结果，确定灯光组件的调节策略，包括：
S31，在目标比较结果为历史睡眠数据低于标准睡眠数据的情况下，智能设备确定灯光组件的调节策略为控制灯光组件在第一目标睡眠阶段发射红光。
S32，在目标比较结果为历史睡眠数据高于标准睡眠数据的情况下，智能设备确定灯光组件的调节策略为控制灯光组件在第二目标睡眠阶段发射绿光。
其中，第一目标睡眠阶段为历史睡眠数据低于标准睡眠数据的睡眠阶段，第二目标睡眠阶段为历史睡眠数据高于标准睡眠数据的睡眠阶段。
可以理解地，经研究表明，特定波长的绿光照射用户视网膜时，能诱导大脑中控制生物钟的神经，促进感光黑视蛋白和肾上腺皮质激素的产生，并抑制褪黑素的分泌，以使用户在绿光的作用下提神醒脑；而特定波长的红光照射用户视网膜后能促进褪黑素分泌，以使用户在红光的作用下产生睡意并进入优质睡眠。这样，可以结合目标比较结果，确定灯光组件的调节策略。这里，灯光组件的调节策略为灯光颜色调节策略。
具体地，智能设备根据目标比较结果，确定灯光组件的调节策略包括：在目标比较结果为历史睡眠数据低于标准睡眠数据的情况下，智能设备确定灯光组件的调节策略为控制灯光组件在第一目标睡眠阶段发射红光。其中，第一目标睡眠阶段为历史睡眠数据低于标准睡眠数据的睡眠阶段。作为一种示例，若获得的目标比较结果为目标用户在深睡期的睡眠时长低于该用户所属类型在深睡期的标准睡眠时长和/或目标用户在深睡期的睡眠占比低于该用户所属类型在深睡期的标准睡眠占比，则智能设备确定灯光组件的调节策略为控制灯光组件在深睡期发射红光。以此方式，能够在确定用户在深睡期睡眠不足的情况下，利用红光促睡眠的特性，确定能够提高深睡期睡眠质量的调节策略，以便处于深睡期的目标用户在红光的照射下延长深睡期的睡眠时长和/或深睡期的睡眠占比，为用户提供更佳的睡眠质量调控方案。
具体地，智能设备根据目标比较结果，确定灯光组件的调节策略包括：在目标比较结果为历史睡眠数据高于标准睡眠数据的情况下，智能设备确定灯光组件的调节策略为控制灯光组件在第二目标睡眠阶段发射绿光。其中，第二目标睡眠阶段为历史睡眠数据高于标准睡眠数据的睡眠阶段。作为一种示例，若获得的目标比较结果为目标用户在快速动眼睡眠期的睡眠时长高于该用户所属类型在快速动眼睡眠期的标准睡眠时长和/或目标用户在 快速动眼睡眠期的睡眠占比高于该用户所属类型在快速动眼睡眠期的标准睡眠占比，则智能设备确定灯光组件的调节策略为控制灯光组件在快速动眼睡眠期发射绿光。以此方式，能够在确定用户在快速动眼睡眠期睡眠过多的情况下，利用绿光抑制睡眠的特性，确定能够降低快速动眼睡眠期的调节策略，以便处于快速动眼睡眠期的目标用户在绿光的照射下减少快速动眼睡眠期的睡眠时长和/或快速动眼睡眠期的睡眠占比，为用户提供更佳的睡眠质量调控方案。
在一种优化的方案中，灯光组件的调节策略，包括：灯光颜色调节策略及灯光亮度调节策略。具体地，智能设备根据目标比较结果，确定灯光组件的调节策略，包括：在目标比较结果为历史睡眠数据远低于标准睡眠数据的情况下，智能设备确定灯光组件的调节策略为控制灯光组件在第一目标睡眠阶段发射红光的同时按照第一目标光源强度进行亮度显示；在目标比较结果为历史睡眠数据靠近且低于标准睡眠数据的情况下，智能设备确定灯光组件的调节策略为控制灯光组件在第一目标睡眠阶段发射红光的同时按照第二目标光源强度进行亮度显示。其中，第一目标光源强度＞第二目标光源强度。这样，能够在红光促睡眠的前提下，通过调控红光的显示亮度，调节褪黑色素的分泌速率，满足用户对智能设备的睡眠质量调节的精准度需求。
在一种优化的方案中，灯光组件的调节策略，包括：灯光颜色调节策略及灯光亮度调节策略。具体地，智能设备根据目标比较结果，确定灯光组件的调节策略，包括：在目标比较结果为历史睡眠数据远高于标准睡眠数据的情况下，智能设备确定灯光组件的调节策略为控制灯光组件在第二目标睡眠阶段发射绿光的同时按照第三目标光源强度进行亮度显示；在目标比较结果为历史睡眠数据靠近且高于标准睡眠数据的情况下，智能设备确定灯光组件的调节策略为控制灯光组件在第二目标睡眠阶段发射绿光的同时按照第四目标光源强度进行亮度显示。其中，第三目标光源强度＞第四目标光源强度。这样，能够在绿光抑制睡眠的前提下，通过调控绿光的显示亮度，调节褪黑色素的分泌速率，满足用户对智能设备的睡眠质量调节的精准度需求。
可选地，S21，智能设备将历史睡眠数据与目标用户所属类型的标准睡眠数据进行比较，以获得目标比较结果，包括：
在历史睡眠数据为各睡眠阶段的睡眠时长且标准睡眠数据为各睡眠阶段的标准睡眠时长的情况下，智能设备将各睡眠阶段的睡眠时长分别与各睡眠阶段的标准睡眠时长进行对比，以作为目标比较结果。
在历史睡眠数据为各睡眠阶段的睡眠占比且标准睡眠数据为各睡眠阶段的标准睡眠占比的情况下，智能设备将各睡眠阶段的睡眠占比分别与各睡眠阶段的标准睡眠占比进行 对比，以作为目标比较结果。
在本实施例中，在历史睡眠数据为各睡眠阶段的睡眠时长且标准睡眠数据为各睡眠阶段的标准睡眠时长的情况下，智能设备将各睡眠阶段的睡眠时长分别与各睡眠阶段的标准睡眠时长进行对比，以作为目标比较结果。作为一种示例，历史睡眠数据包括快速动眼睡眠期的睡眠时长为1.6小时，深睡期的睡眠时长为3.8小时；快速动眼睡眠期的标准睡眠时长为1.8小时，深睡期的标准睡眠时长为3.9小时，则可以将历史睡眠数据中快速动眼睡眠期的睡眠时长1.6小时与快速动眼睡眠期的标准睡眠时长1.8小时进行对比，并将历史睡眠数据中深睡期的睡眠时长3.8小时与深睡期的标准睡眠时长3.9小时进行对比，以确定目标比较结果为快速动眼睡眠期的睡眠时长低于快速动眼睡眠期的标准睡眠时长且深睡期的睡眠时长低于深睡期的标准睡眠时长。以此方式，能够结合各睡眠阶段的睡眠时长及各睡眠阶段的标准睡眠时长实现目标比较结果的精准确定。
在本实施例中，在历史睡眠数据为各睡眠阶段的睡眠占比且标准睡眠数据为各睡眠阶段的标准睡眠占比的情况下，智能设备将各睡眠阶段的睡眠占比分别与各睡眠阶段的标准睡眠占比进行对比，以作为目标比较结果。作为一种示例，历史睡眠数据包括快速动眼睡眠期的睡眠占比为0.2，深睡期的睡眠占比为0.4；快速动眼睡眠期的标准睡眠占比为0.25，深睡期的标准睡眠占比为0.5，则可以将历史睡眠数据中快速动眼睡眠期的睡眠占比0.2与快速动眼睡眠期的标准睡眠占比0.25进行对比，并将历史睡眠数据中深睡期的睡眠占比0.4与深睡期的标准睡眠占比0.5进行对比，以确定目标比较结果为快速动眼睡眠期的睡眠占比低于快速动眼睡眠期的标准睡眠占比且深睡期的睡眠占比低于深睡期的标准睡眠占比。以此方式，能够结合各睡眠阶段的睡眠占比及各睡眠阶段的标准睡眠占比实现目标比较结果的精准确定。
可选地，S22，智能设备根据目标比较结果，确定灯光组件的调节策略，包括：
在目标比较结果表示至少有一个睡眠阶段的睡眠时长低于该阶段的标准睡眠时长的情况下，智能设备确定灯光组件的调节策略为先控制灯光组件在第三目标睡眠阶段发射红光，再按照目标比较结果中各睡眠阶段的睡眠占比与各睡眠阶段的标准睡眠占比的对比情况进行灯光组件的控制。
其中，第三目标睡眠阶段为睡眠时长低于标准睡眠时长的睡眠阶段。
在本方案中，在历史睡眠数据包括各睡眠阶段的睡眠时长及各睡眠阶段的睡眠占比，标准睡眠数据包括各睡眠阶段的标准睡眠时长及各睡眠阶段的标准睡眠占比的情况下，可以将各睡眠阶段的睡眠时长分别与各睡眠阶段的标准睡眠时长进行对比，以获得第一比较结果；智能设备将各睡眠阶段的睡眠占比分别与各睡眠阶段的标准睡眠占比进行对比，以 获得第二比较结果；智能设备将第一比较结果及第二比较结果作为目标比较结果。这样，可以在目标比较结果中第一比较结果表示至少有一个睡眠阶段的睡眠时长低于该阶段的标准睡眠时长的情况下，智能设备确定灯光组件的调节策略为先控制灯光组件在第三目标睡眠阶段发射红光，再按照目标比较结果中第二比较结果即各睡眠阶段的睡眠占比与各睡眠阶段的标准睡眠占比的对比情况进行灯光组件的控制。以此方案，能够在同时得到第一比较结果及第二比较结果后，优先进行睡眠时长的调节，以优先修正目标用户入睡后各阶段的睡眠时长，满足用户对睡眠质量调节需求。
图4是本公开实施例提供的另一个用于改善睡眠的方法示意图；结合图4所示，可选地，在控制智能设备执行调节策略后，还包括：
S41，智能设备获取目标用户的实时睡眠曲线。
S42，在实时睡眠曲线表示目标用户睡眠得到改善且达到预设改善目标的情况下，智能设备控制智能设备停止执行调节策略。
在本方案中，智能设备可以通过智能设备的毫米波雷达模块或智能设备关联的毫米波雷达设备输出实时睡眠曲线。其中，实时睡眠曲线能够提取出目标用户的入睡时刻、清醒时刻、各睡眠阶段的睡眠分期情况等信息。以此方式，能够实现实时睡眠曲线的精准获取。
进一步地，智能设备可以针对已获取的实时睡眠曲线进行分析，判断目标用户睡眠是否得到改善且达到预设改善目标。具体地，可以通过以下方式确定目标用户睡眠得到改善且达到预设改善目标：若历史睡眠数据低于标准睡眠数据，且实时睡眠曲线表示该睡眠阶段的睡眠数据为上升趋势且达到标准睡眠数据时，则确定目标用户睡眠得到改善且达到预设改善目标；若历史睡眠数据高于标准睡眠数据，且实时睡眠曲线表示该睡眠阶段的睡眠数据为下降趋势且达到标准睡眠数据时，则确定目标用户睡眠得到改善且达到预设改善目标。以此方式，能够对实时睡眠曲线中所示数据进行精准地分析。
可以理解地，用户每次入睡后会存在多个睡眠周期，每个睡眠周期均会出现五个睡眠阶段(浅睡眠期、轻度睡眠期、中度睡眠期、深度睡眠期及快速动眼睡眠期)。因此，可以通过以下方式判断睡眠阶段睡眠数据的变化趋势：可以在用户入睡后依次获取每个睡眠周期的同一睡眠阶段的睡眠数据，以此按顺序推测该睡眠阶段睡眠数据的变化趋势。
进一步地，在实时睡眠曲线表示目标用户睡眠得到改善且达到预设改善目标的情况下，确定目标用户无需进行睡眠质量调节，智能设备可以控制其停止执行调节策略。以此方式，精准确定睡眠调节的停止时机，满足了目标用户对智能设备的节能控制需求。
在一种优选的方案中，若实时睡眠曲线表示当前睡眠周期的睡眠阶段已达到预设改善目标，则本次睡眠事件的后几个睡眠周期的该睡眠阶段则不执行调节策略。以此方式，满 足了目标用户对智能设备的节能控制需求。
可选地，在控制智能设备执行调节策略后，还包括：
智能设备获取目标用户反馈的睡眠感受信息。
智能设备根据睡眠感受信息，确定用于改善目标用户睡眠的目标光源强度。
智能设备在目标用户再次启动睡眠改善模块的情况下，按照目标光源强度启动灯光组件。
可以理解地，不同用户对灯光照射的应激反应不同，为了确定目标用户是否适应于或满足于当前的灯光调节策略，可以在控制智能设备执行调节策略后，获取目标用户反馈的睡眠感受信息。这里，睡眠感受信息可以为多种形式，例如，睡眠感受信息可以为深睡期光源强度较强，或者，降低深睡期的睡眠时长/占比等，这里，只要能够表示目标用户对智能设备的灯光调节感受，其形式不作具体限定。
进一步地，智能设备可以结合睡眠感受信息，确定用于改善目标用户睡眠的目标光源强度。在一种示例中，若睡眠感受信息为深睡期光源强度较强，则可以获取已设定的光源强度档位；若已设定的光源强度档位为高档，则确定用于改善目标用户睡眠的目标光源强度为中档位强度；若已设定的光源强度档位为中档，则确定用于改善目标用户睡眠的目标光源强度为低档位强度。以此方式，能够实现目标光源强度的精准确定。这样，智能设备可以在目标用户再次启动睡眠改善模块的情况下，按照目标光源强度启动灯光组件。这样，能够更加合理的在改善目标用户睡眠的同时，符合目标用户的光源强度调节需求。
在一种优化的方案中，智能设备还可以学习目标用户对光源的最佳能量匹配值，从而结合最佳能量匹配值调整灯光组件的光源亮度，以便达到更好的睡眠改善效果，使通过该方式进行的睡眠改善方案更加符合目标用户的光源强度偏好。
在一种优化的方案中，若智能设备设置有毫米波雷达模块或关联有毫米波雷达设备，则可以检测灯光组件与用户面部的距离信息，结合距离信息匹配出灯光组件的光源强度值；并按照光源强度值进行灯光组件的调节。以此方式，能够综合考虑光传播过程中的损失，进行光源强度的判断，为灯光组件的精准控制提供了准确的数据基础。
图5是本公开实施例提供的一个用于改善睡眠的装置示意图；结合图5所示，本公开实施例提供一种用于改善睡眠的装置50，包括获取模块51、确定模块52和控制模块53。获取模块51被配置为获取目标用户的历史睡眠数据；确定模块52被配置为根据历史睡眠数据及目标用户所属类型的标准睡眠数据，确定灯光组件的调节策略；控制模块53被配置为控制智能设备执行调节策略，便于目标用户在灯光组件的照射下进行睡眠改善。
采用本公开实施例提供的用于改善睡眠的装置，通过获取目标用户的历史睡眠数据； 并根据历史睡眠数据及目标用户所属类型的标准睡眠数据，确定灯光组件的调节策略；进而控制智能设备执行调节策略。以此方式，能够结合历史睡眠数据及目标用户所属类型的标准睡眠数据，确定更加精准地灯光组件的调节策略，以在控制智能设备执行调节策略的情况下，目标用户能够在灯光组件的照射下进行睡眠改善，为用户提供了一种更加便捷、有效地睡眠改善方案，满足了目标用户对智能设备的个性化需求，实现了智能设备的功能多样化。
图6是本公开实施例提供的另一个用于改善睡眠的装置60示意图；结合图6所示，本公开实施例提供一种用于改善睡眠的装置，包括处理器(processor)100和存储器(memory)101。可选地，该装置还可以包括通信接口(Communication Interface)102和总线103。其中，处理器100、通信接口102、存储器101可以通过总线103完成相互间的通信。通信接口102可以用于信息传输。处理器100可以调用存储器101中的逻辑指令，以执行上述实施例的用于改善睡眠的方法。
此外，上述的存储器101中的逻辑指令可以通过软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。
存储器101作为一种计算机可读存储介质，可用于存储软件程序、计算机可执行程序，如本公开实施例中的方法对应的程序指令/模块。处理器100通过运行存储在存储器101中的程序指令/模块，从而执行功能应用以及数据处理，即实现上述实施例中用于改善睡眠的方法。
存储器101可包括存储程序区和存储数据区，其中，存储程序区可存储操作系统、至少一个功能所需的应用程序；存储数据区可存储根据终端设备的使用所创建的数据等。此外，存储器101可以包括高速随机存取存储器，还可以包括非易失性存储器。
本公开实施例提供了一种智能设备，包含上述的用于改善睡眠的装置。
结合图7所示，本公开实施例提供了一种智能设备70，包含上述的用于改善睡眠的装置50(60)。
本公开实施例的智能设备70，还包括：智能设备主体，以及上述的用于改善睡眠的装置50(60)，用于改善睡眠的装置50(60)被安装于智能设备主体。这里所表述的安装关系，并不仅限于在智能设备内部放置，还包括了与其他元器件的安装连接，包括但不限于物理连接、电性连接或者信号传输连接等。本领域技术人员可以理解的是，用于改善睡眠的装置50(60)可以适配于可行的设备主体，例如落地灯、台灯、氛围灯或者其他配备发光装置的电器设备，进而实现其他可行的实施例。可行地，智能设备在用户入睡后能照射到用户眼部，也可以是其他床头智能设备表面外置几个灯光组件。
本公开实施例提供了一种计算机可读存储介质，存储有计算机可执行指令，所述计算机可执行指令设置为执行上述用于改善睡眠的方法。
本公开实施例提供了一种计算机程序产品，所述计算机程序产品包括存储在计算机可读存储介质上的计算机程序，所述计算机程序包括程序指令，当所述程序指令被计算机执行时，使所述计算机执行上述用于改善睡眠的方法。
本公开实施例提供了一种计算机程序，当所述计算机程序被计算机执行时，使所述计算机实现上述用于改善睡眠的方法。
上述的计算机可读存储介质可以是暂态计算机可读存储介质，也可以是非暂态计算机可读存储介质。
本公开实施例的技术方案可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括一个或多个指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)执行本公开实施例所述方法的全部或部分步骤。而前述的存储介质可以是非暂态存储介质，包括：U盘、移动硬盘、只读存储器(ROM，Read-Only Memory)、随机存取存储器(RAM，Random Access Memory)、磁碟或者光盘等多种可以存储程序代码的介质，也可以是暂态存储介质。
以上描述和附图充分地示出了本公开的实施例，以使本领域的技术人员能够实践它们。其他实施例可以包括结构的、逻辑的、电气的、过程的以及其他的改变。实施例仅代表可能的变化。除非明确要求，否则单独的部件和功能是可选的，并且操作的顺序可以变化。一些实施例的部分和特征可以被包括在或替换其他实施例的部分和特征。而且，本申请中使用的用词仅用于描述实施例并且不用于限制权利要求。如在实施例以及权利要求的描述中使用的，除非上下文清楚地表明，否则单数形式的“一个”(a)、“一个”(an)和“所述”(the)旨在同样包括复数形式。类似地，如在本申请中所使用的术语“和/或”是指包含一个或一个以上相关联的列出的任何以及所有可能的组合。另外，当用于本申请中时，术语“包括”(comprise)及其变型“包括”(comprises)和/或包括(comprising)等指陈述的特征、整体、步骤、操作、元素，和/或组件的存在，但不排除一个或一个以上其它特征、整体、步骤、操作、元素、组件和/或这些的分组的存在或添加。在没有更多限制的情况下，由语句“包括一个…”限定的要素，并不排除在包括所述要素的过程、方法或者设备中还存在另外的相同要素。本文中，每个实施例重点说明的可以是与其他实施例的不同之处，各个实施例之间相同相似部分可以互相参见。对于实施例公开的方法、产品等而言，如果其与实施例公开的方法部分相对应，那么相关之处可以参见方法部分的描述。
本领域技术人员可以意识到，结合本文中所公开的实施例描述的各示例的单元及算法 步骤，能够以电子硬件、或者计算机软件和电子硬件的结合来实现。这些功能究竟以硬件还是软件方式来执行，可以取决于技术方案的特定应用和设计约束条件。所述技术人员可以对每个特定的应用来使用不同方法以实现所描述的功能，但是这种实现不应认为超出本公开实施例的范围。所述技术人员可以清楚地了解到，为描述的方便和简洁，上述描述的系统、装置和单元的具体工作过程，可以参考前述方法实施例中的对应过程，在此不再赘述。
本文所披露的实施例中，所揭露的方法、产品(包括但不限于装置、设备等)，可以通过其它的方式实现。例如，以上所描述的装置实施例仅仅是示意性的，例如，所述单元的划分，可以仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。另外，所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口，装置或单元的间接耦合或通信连接，可以是电性，机械或其它的形式。所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例。另外，在本公开实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。
附图中的流程图和框图显示了根据本公开实施例的系统、方法和计算机程序产品的可能实现的体系架构、功能和操作。在这点上，流程图或框图中的每个方框可以代表一个模块、程序段或代码的一部分，所述模块、程序段或代码的一部分包含一个或多个用于实现规定的逻辑功能的可执行指令。在有些作为替换的实现中，方框中所标注的功能也可以以不同于附图中所标注的顺序发生。例如，两个连续的方框实际上可以基本并行地执行，它们有时也可以按相反的顺序执行，这可以依所涉及的功能而定。在附图中的流程图和框图所对应的描述中，不同的方框所对应的操作或步骤也可以以不同于描述中所披露的顺序发生，有时不同的操作或步骤之间不存在特定的顺序。例如，两个连续的操作或步骤实际上可以基本并行地执行，它们有时也可以按相反的顺序执行，这可以依所涉及的功能而定。框图和/或流程图中的每个方框、以及框图和/或流程图中的方框的组合，可以用执行规定的功能或动作的专用的基于硬件的系统来实现，或者可以用专用硬件与计算机指令的组合来实现。

Claims (12)

  1. 一种用于改善睡眠的方法，其特征在于，应用于配置有睡眠改善模块的智能设备，所述睡眠改善模块包括灯光组件，所述方法包括：
    获取目标用户的历史睡眠数据；
    根据所述历史睡眠数据及所述目标用户所属类型的标准睡眠数据，确定灯光组件的调节策略；
    控制所述智能设备执行所述调节策略，便于所述目标用户在所述灯光组件的照射下进行睡眠改善。
  2. 根据权利要求1所述的方法，其特征在于，所述根据所述历史睡眠数据及所述目标用户所属类型的标准睡眠数据，确定灯光组件的调节策略，包括：
    将所述历史睡眠数据与所述目标用户所属类型的标准睡眠数据进行比较，以获得目标比较结果；
    根据所述目标比较结果，确定灯光组件的调节策略。
  3. 根据权利要求2所述的方法，其特征在于，所述根据所述目标比较结果，确定灯光组件的调节策略，包括：
    在所述目标比较结果为历史睡眠数据低于所述标准睡眠数据的情况下，确定灯光组件的调节策略为控制所述灯光组件在第一目标睡眠阶段发射红光；
    在所述目标比较结果为历史睡眠数据高于所述标准睡眠数据的情况下，确定灯光组件的调节策略为控制所述灯光组件在第二目标睡眠阶段发射绿光；
    其中，所述第一目标睡眠阶段为所述历史睡眠数据低于所述标准睡眠数据的睡眠阶段，所述第二目标睡眠阶段为历史睡眠数据高于所述标准睡眠数据的睡眠阶段。
  4. 根据权利要求2所述的方法，其特征在于，所述将所述历史睡眠数据与所述目标用户所属类型的标准睡眠数据进行比较，以获得目标比较结果，包括：
    在所述历史睡眠数据为各睡眠阶段的睡眠时长且所述标准睡眠数据为各睡眠阶段的标准睡眠时长的情况下，将所述各睡眠阶段的睡眠时长分别与所述各睡眠阶段的标准睡眠时长进行对比，以作为目标比较结果；
    在所述历史睡眠数据为各睡眠阶段的睡眠占比且所述标准睡眠数据为各睡眠阶段的标准睡眠占比的情况下，将所述各睡眠阶段的睡眠占比分别与各睡眠阶段的标准睡眠占比进行对比，以作为目标比较结果。
  5. 根据权利要求2所述的方法，其特征在于，所述历史睡眠数据包括各睡眠阶段的睡眠时长及各睡眠阶段的睡眠占比，所述标准睡眠数据包括各睡眠阶段的标准睡眠 时长及各睡眠阶段的标准睡眠占比，所述根据所述目标比较结果，确定灯光组件的调节策略，包括：
    在所述目标比较结果表示至少有一个睡眠阶段的睡眠时长低于该阶段的标准睡眠时长的情况下，确定灯光组件的调节策略为先控制所述灯光组件在第三目标睡眠阶段发射红光，再按照所述目标比较结果中各睡眠阶段的睡眠占比与各睡眠阶段的标准睡眠占比的对比情况进行灯光组件的控制；
    其中，所述第三目标睡眠阶段为睡眠时长低于所述标准睡眠时长的睡眠阶段。
  6. 根据权利要求1至5任一项所述的方法，其特征在于，在控制所述智能设备执行所述调节策略后，所述方法还包括：
    获取所述目标用户的实时睡眠曲线；
    在所述实时睡眠曲线表示所述目标用户睡眠得到改善且达到预设改善目标的情况下，控制所述智能设备停止执行所述调节策略。
  7. 根据权利要求1所述的方法，其特征在于，在控制所述智能设备执行所述调节策略后，所述方法还包括：
    获取所述目标用户反馈的睡眠感受信息；
    根据所述睡眠感受信息，确定用于改善所述目标用户睡眠的目标光源强度；
    在所述目标用户再次启动所述睡眠改善模块的情况下，按照所述目标光源强度启动所述灯光组件。
  8. 一种用于改善睡眠的装置，其特征在于，应用于配置有睡眠改善模块的智能设备，所述睡眠改善模块包括灯光组件，所述装置包括：
    获取模块，被配置为获取目标用户的历史睡眠数据；
    确定模块，被配置为根据所述历史睡眠数据及所述目标用户所属类型的标准睡眠数据，确定灯光组件的调节策略；
    控制模块，被配置为控制所述智能设备执行所述调节策略，便于所述目标用户在所述灯光组件的照射下进行睡眠改善。
  9. 一种用于睡眠改善的装置，包括处理器和存储有程序指令的存储器，其特征在于，所述处理器被配置为在运行所述程序指令时，执行如权利要求1至7任一项所述的用于睡眠改善的方法。
  10. 一种存储介质，存储有程序指令，其特征在于，所述程序指令在运行时，执行如权利要求1至7任一项所述的用于睡眠改善的方法。
  11. 一种计算机程序，当所述计算机程序被计算机执行时，使所述计算机实现如 权利要求1至7任一项所述的用于睡眠改善的方法。
  12. 一种计算机程序产品，所述计算机程序产品包括存储在计算机可读存储介质上的计算机指令，当所述程序指令被计算机执行时，使所述计算机实现如权利要求1至7任一项所述的用于睡眠改善的方法。
PCT/CN2024/085739 2023-05-19 2024-04-03 用于改善睡眠的方法、装置及存储介质 Ceased WO2024239807A1 (zh)

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