CN114847880A - Intelligent device and method for detecting sleep information - Google Patents

Intelligent device and method for detecting sleep information Download PDF

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CN114847880A
CN114847880A CN202210474973.3A CN202210474973A CN114847880A CN 114847880 A CN114847880 A CN 114847880A CN 202210474973 A CN202210474973 A CN 202210474973A CN 114847880 A CN114847880 A CN 114847880A
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human body
detection
module
environment
sleep
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田雄辉
赵钰
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Beijing Youzhuju Network Technology Co Ltd
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Beijing Youzhuju Network Technology Co Ltd
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/48Other medical applications
    • A61B5/4806Sleep evaluation
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/024Detecting, measuring or recording pulse rate or heart rate
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/08Detecting, measuring or recording devices for evaluating the respiratory organs
    • A61B5/0816Measuring devices for examining respiratory frequency
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1113Local tracking of patients, e.g. in a hospital or private home
    • A61B5/1114Tracking parts of the body
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1126Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb using a particular sensing technique
    • A61B5/1128Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb using a particular sensing technique using image analysis
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/48Other medical applications
    • A61B5/4806Sleep evaluation
    • A61B5/4809Sleep detection, i.e. determining whether a subject is asleep or not
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/48Other medical applications
    • A61B5/4806Sleep evaluation
    • A61B5/4815Sleep quality
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02BCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B20/00Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
    • Y02B20/40Control techniques providing energy savings, e.g. smart controller or presence detection

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Abstract

The embodiment of the disclosure discloses an intelligent device and a method for detecting sleep information, wherein the intelligent device comprises: the first detection module is used for sending a human body detection signal for detecting whether a human body exists in the detection environment; if the human body exists and the human body is in a sleep state, acquiring an environment image comprising a human body image to determine the target position of the human body; the second detection module is used for sending a sleep detection signal for detecting sleep information to the target position so as to detect the sleep information of the user; the control module is used for determining whether a human body exists in the environment based on the human body detection signal; if the sleep state exists and the human body is determined to be in the sleep state, determining the initial position of the human body, and enabling the first detection module to collect an environment image; and determining the target position of the human body according to the environment image, driving a second detection module to emit a sleep detection signal, and determining sleep information based on the sleep detection signal. And sending a sleep detection signal to the human body after accurate positioning, so that the accuracy of a sleep information detection result is higher.

Description

Intelligent device and method for detecting sleep information
Technical Field
The present disclosure relates to the field of smart device technologies, and in particular, to a smart device and a method for detecting sleep information.
Background
Sleep is very important for everyone. The life and work of the user are seriously influenced by poor sleep quality.
In the related art, sleep information may be detected using a wearable device, for example, a heartbeat frequency of a person may be detected using a heartbeat detector device worn on a wrist. The sleep quality of the user is analyzed by using the heartbeat frequency.
Disclosure of Invention
This disclosure is provided to introduce concepts in a simplified form that are further described below in the detailed description. This disclosure is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.
The embodiment of the disclosure provides intelligent equipment and a method for detecting sleep information.
In a first aspect, an embodiment of the present disclosure provides an intelligent device for detecting sleep information, where the intelligent device includes: the device comprises a first detection module, a second detection module and a control module; the first detection module is used for sending a human body detection signal for detecting whether a human body exists in the detection environment; if the human body exists and the human body is in a sleep state, acquiring an environment image comprising a human body image so as to determine the target position of the human body; the second detection module is used for sending a sleep detection signal for detecting sleep information to the target position so as to detect the sleep information of the user; the control module is used for determining whether a human body exists in the environment based on the human body detection signal; if so, determining whether the human body is in a sleep state; if the human body is in the sleep state, determining the initial position of the human body, and controlling a first detection module to acquire an environment image according to the initial position; and determining a target position of a human body according to the environment image, driving the second detection module to transmit the sleep detection signal to the target position, and determining sleep information of the object based on the sleep detection signal.
In a second aspect, an embodiment of the present disclosure provides a method for detecting sleep information, which is applied to the apparatus for detecting sleep information in the first aspect, and the method includes: responding to an environment feedback signal according to a human body detection signal sent by a first detection module, detecting that a human body exists in an environment, and determining whether the corresponding posture of the human body is a sleep posture or not based on the environment feedback signal; in response to determining that the corresponding posture of the human body is a sleep posture, determining an initial position of the human body according to the environment feedback signal; acquiring an environment image including the human body according to the initial position by using a first detection module, and determining target position information facilitating detection of sleep information of the subject according to the environment image; and driving a second detection module to send a sleep detection signal for detecting sleep information to a target position indicated by the target position information, receiving a detection feedback signal of the sleep detection signal, and determining the sleep information of the object corresponding to the human body according to the detection feedback signal.
According to the device and the method for detecting the sleep information, the first detection module, the second detection module and the control module are arranged, the control module determines the initial position and the target position of a user according to a signal generated by the first detection module, and the second detection module determines the sleep information of the user according to a sleep detection signal generated by the second detection module to the target position; the method and the device realize the purpose of sending the sleep detection signal to the human body after accurate positioning, thereby ensuring higher accuracy of the sleep information detection result.
Drawings
The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and components are not necessarily drawn to scale.
FIG. 1 is a schematic block diagram of a smart device for detecting sleep information according to the present disclosure;
FIG. 2A is a schematic block diagram of some embodiments of the first detection module shown in FIG. 1;
FIG. 2B is a schematic diagram of some embodiments of the second detection module shown in FIG. 1;
FIG. 2C is a schematic structural diagram of some embodiments of the light source module shown in FIG. 1;
fig. 2D is a schematic structural view of some embodiments of the pose adjustment module shown in fig. 1;
fig. 3 is a flow diagram of some embodiments of a method for detecting sleep information according to the present disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.
It should be understood that the various steps recited in the method embodiments of the present disclosure may be performed in a different order, and/or performed in parallel. Moreover, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present disclosure is not limited in this respect.
The term "include" and variations thereof as used herein are open-ended, i.e., "including but not limited to". The term "based on" is "based, at least in part, on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". Relevant definitions for other terms will be given in the following description.
It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.
It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.
The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.
It should be noted that, in the present disclosure, the embodiments and features of the embodiments may be combined with each other without conflict.
Referring to fig. 1, which shows a schematic block diagram of an intelligent device for detecting sleep information according to the present disclosure, as shown in fig. 1, the intelligent device for detecting sleep information includes: a first detection module 1, a second detection module 12 and a control module 13. The first detection module 11 is configured to send a human body detection signal for detecting whether a human body exists in the detection environment; and if the human body exists and the human body is in a sleep state, acquiring an environment image comprising a human body image so as to determine the target position of the human body.
The first detection module 11 can not only send out a human body detection signal, but also collect an environment image. In some application scenarios, the first detection module 11 may integrate a human body detection sensor and an image collector (e.g., a camera).
Fig. 2A illustrates a schematic structural diagram of some embodiments of a first detection module. As shown in fig. 2A, the infrared sensor 111 may be a human detection sensor. The infrared camera 112 may be an image collector.
The infrared sensor 111 can detect infrared signals emitted from any object. The infrared sensor can detect human body signals in an environment with weak light.
The infrared camera 112 is provided with an infrared filter between the lens and the CCD of a conventional camera, and functions to allow infrared light in a certain wavelength band to pass therethrough, and absorb or reflect visible light and ultraviolet light. The human body can emit infrared rays, and the infrared rays emitted by the human body can penetrate through the infrared filter and enter the CCD, so that a human body image is generated.
In practice, the first detecting module 11 may send a human body detecting signal for detecting whether a human body exists in the environment to the environment in real time. And receives an environment feedback signal generated by the human body detection signal in real time. The control module 13 may obtain the environmental feedback signal from the first detecting module 11 in real time. Alternatively, the first detection module 11 may send the environment feedback signal to the control module 13 in real time. The control module 13 may determine whether a human body is present in the environment based on the environment feedback signal. The human body here may correspond to any user.
If it is determined that a human body exists in the environment, the control module 13 may determine the posture of the human body according to the environment feedback signal. And determining whether the human body is in a sleeping state according to the posture of the human body. As an illustrative example, if it is determined from the above environment feedback signal that the human body is in a standing posture or a sitting posture, the human body is in a non-sleep state. If the posture of the human body lying on the bed is determined from the environment signals, the human body can be judged to be in a sleeping state.
After determining that the human body is in the sleep state, the control module 13 may further determine an initial position corresponding to the human body. And issues an image capture instruction to the first detection module 11 instructing the first detection module 11 to capture the environmental image. The image capture instructions may include an initial position.
The first detection module 11 may acquire an environment image according to the initial position of the human body determined by the environment feedback signal, and the acquired environment image may include a human body image.
The first detection module 11 may send the acquired environment image to the control module 13. The control module 13 may determine a target position of the user according to the environment image.
Specifically, the control module may determine coordinate information of the human body in the room according to a position of the human body in the environment image.
Further, the coordinate information may include coordinate information corresponding to each part of the human body determined by the environment image. For example, coordinate information of the head of the human body, coordinate information of the chest of the human body, and the like. The target position may be, for example, coordinate information of a head of a human body and coordinate information of a chest of the human body. Each coordinate information may include coordinates of a different point.
After determining the target position of the human body according to the environment image, the control module 13 may send a start instruction to the second detection module 12 to drive the second detection module 12 to send the sleep detection signal to the target position.
And the second detection module 12 is configured to send a sleep detection signal for detecting sleep information to the target location to detect the user sleep information.
After receiving the start instruction, the second detection module 12 may determine a target position indicated by the start instruction, and send the sleep detection signal for detecting sleep information to the target position.
In some application scenarios, the second detection module 12 may adjust its pose according to the target position, so that the emitted sleep detection signal matches the target position.
The second detection module 12 may also receive a probe feedback signal generated by the above-mentioned sleep probe signal illuminated into the environment. And sends the detection feedback signal to a control module so that the control module 13 can analyze the respiration and/or heartbeat information according to different detection feedback signals.
Fig. 2B illustrates a structural schematic of some embodiments of the second detection module. As shown in fig. 2B, the second detection module 12 may include a millimeter wave radar. The millimeter wave radar may include a transmitting unit and a receiving unit. The transmitting unit may emit a millimeter wave probe signal. Usually, the millimeter wave refers to the frequency domain of 30 to 300GHz (the wavelength is 1 to 10 mm). The wavelength of the millimeter wave is between the centimeter wave and the light wave, so the millimeter wave has the advantages of microwave guidance and photoelectric guidance. The principle of radar measurement of human breath/heartbeat is as follows: the breathing and heartbeat of a human body can cause the fluctuation of the thoracic cavity, and further cause the change of the radial distance between the radar and the detected human body. By measuring the change in this radial distance, a human respiration/heartbeat signal can be extracted.
In the following, for example, the respiratory information is analyzed, and a first chest detection feedback sub-signal generated by the chest position being higher due to the inspiration state may be included in the first frame detection feedback signal. In the second frame detection feedback signal, a second chest detection feedback sub-signal is generated due to the lower chest position caused by the expiratory condition. In the third frame detection feedback signal, a third chest detection feedback sub-signal resulting from a higher chest position due to an inspiratory state may be included. The breathing time interval in the sleep state may be determined by the time interval between the first frame detection feedback signal and the third frame detection feedback signal. The breathing time interval of the human body in the sleep state can be continuously detected according to the multi-frame detection feedback signals.
The second detection module 12 may include a millimeter wave radar.
The millimeter-wave radar may emit millimeter-wave signals. Millimeter-wave signals emitted by the millimeter-wave radar may have a specific expression and waveform representation. The above expression may include frequency and phase. Since respiration and heartbeat are dynamic environments, when the millimeter wave radar signal encounters a dynamic environment caused by the respiration and heartbeat, the dynamic information is superimposed on the millimeter wave signal. The dynamic information may be analyzed from the feedback signal to analyze respiration and/or heartbeat information of the human body to determine sleep information of the user.
According to the intelligent device for detecting sleep information provided by the embodiment, the first detection module, the second detection module and the control module are arranged, the control module determines the initial position and the target position of a user according to a signal generated by the first detection module, and the second detection module determines the sleep information of the user according to a sleep detection signal generated by the target position; the method and the device realize the purpose of sending the sleep detection signal to the human body after accurate positioning, thereby ensuring higher accuracy of the sleep information detection result.
In some optional implementations, the above-described smart device for detecting sleep information further includes a light source module 14 and a pose adjustment module 15. The pose adjustment module 15 and the light source module 14 are mechanically connected. Such as screwing, snapping, etc.
In some application scenarios, the light source module 14 may be disposed on a housing of the pose adjustment module.
The light source module 14 may emit light for providing illumination light.
Fig. 2C illustrates a schematic structural diagram of some embodiments of a light source module. As shown in fig. 2C, the ambient brightness detection subunit may include a brightness sensor. The brightness sensor may detect a brightness parameter of the environment. The light emitting sub-unit may comprise a semiconductor light source/cold cathode fluorescent lamp.
The pose adjusting module 15 is configured to adjust the pose of the light source module 14 according to the initial position, so that the adjusted pose of the light source module matches the initial position. The pose of the light source module is matched with the initial position, which means that the illumination light emitted by the light source module points to or covers the initial position.
In these optional implementations, the light source module provides illumination light, so that the environment image acquired by the first detection module is clearer, the target position of the human body is conveniently identified from the environment image, and the accuracy of the identified target position is improved.
In addition, the above-described posture adjustment module 14 includes a drive unit that adjusts the position of the light emitting subunit in at least two degrees of freedom.
That is, the above-described posture adjustment module 14 can adjust the posture of the light source module in at least two degrees of freedom.
In some application scenarios, the above-mentioned pose adjustment module 14 may adjust the pose of the light source module in 6 degrees of freedom.
The 6 degrees of freedom include: yaw, pitch, roll, fore/aft, up/down, and left/right.
The attitude adjustment module described above may include at least one drive motor and at least one transmission structure. Under the cooperation of the at least one driving motor and the at least one transmission structure, the pose adjustment module can drive the light source module to perform pose adjustment.
Some embodiments of the posture adjustment module shown in fig. 2D have a structure including a 6-axis motor. Under the drive of the 6-axis motor, the position and orientation adjusting module can adjust the position of the light-emitting subunit in 6 degrees of freedom.
By arranging the pose adjusting module in the intelligent equipment, the pose of the light source module can be automatically adjusted, so that illumination can be provided in a large angular span. The first detection module is convenient to realize to provide a better lighting effect.
In some optional implementations, the light source module includes an ambient brightness detection subunit and a light emitting subunit. The ambient brightness detection subunit is used for detecting ambient brightness. And the light-emitting photon unit is used for receiving the light-emitting parameters adjusted by the ambient brightness and emitting the illumination light matched with the light-emitting parameters.
In these alternative implementations, the ambient brightness detection subunit may include an ambient brightness sensing sensor. The ambient brightness sensing sensor may detect ambient brightness.
The light source module can adjust the light-emitting parameters according to the environment brightness and emit the illumination light matched with the light-emitting parameters.
The light emitting parameters include light emitting intensity, color temperature, and the like.
The light source module may be preset with light emitting parameters corresponding to different ambient luminances. When it is detected that the ambient brightness is not matched with the current lighting parameter, a target lighting parameter matched with the current ambient brightness can be determined according to the detected current ambient brightness, and the lighting parameter is adjusted to the target lighting parameter.
In these alternative implementations, the light emitted by the light source module is automatically adapted to the ambient brightness by adjusting the light emitting parameters of the light source module according to the ambient brightness. On the one hand, the first detection module 11 can be illuminated, and on the other hand, discomfort of the user caused by the light emitted not being compatible with the environment can be avoided.
In some optional implementations, the pose adjustment module 15 is further configured to: the position of the second detection module 12 is adjusted so that the detection signal emitted by the second detection module 12 matches the target position.
The adjusting of the position of the second detection unit module may include adjusting the position of the second unit module in a vertical direction and/or a lateral direction.
In these optional implementations, by adjusting the position of the second detection module, the detection signal emitted by the second detection module can be better aligned with the target position, so as to ensure the accuracy of the detection result.
In some optional implementations, the first detection module 11 includes a human body detection subunit (e.g., an infrared sensor in fig. 2A) and an image acquisition subunit (e.g., an infrared camera in fig. 2).
The human body detection subunit is used for sending an environment detection signal for detecting whether a human body exists in the environment and receiving an environment feedback signal of the environment detection signal; sending the environment feedback signal to the control module; and receiving an image acquisition instruction sent by a control module, wherein the control module determines that a human body exists in the environment according to the environment feedback signal and generates the image acquisition instruction when the human body is in a sleep state, and the image acquisition instruction comprises an initial position of the human body determined according to the environment feedback signal.
The image acquisition subunit is configured to acquire an environment image including the human body image according to an initial position indicated by the image acquisition instruction, and send the environment image to the control module, so that the control module determines a target position corresponding to the human body according to the environment image.
The human body detection subunit comprises an infrared sensor, and the environment detection signal comprises an infrared detection signal.
The intelligent device for detecting sleep information may be various electronic devices disposed in a room. The intelligent device for detecting sleep information may include a desk lamp.
Referring to fig. 3, a method for detecting sleep information provided by the present disclosure is shown, which is applied to the smart device for detecting sleep information shown in fig. 1. As shown in fig. 3, the method includes the following steps.
Step 301, in response to an environment feedback signal according to a human detection signal sent by a first detection module, detecting that a human body exists in an environment, and determining whether a posture corresponding to the human body is a sleep posture based on the environment feedback signal.
And 302, in response to the fact that the corresponding posture of the human body is determined to be a sleep posture, determining an initial position of the human body according to the environment feedback signal.
303, acquiring an environment image including the human body according to the initial position by using an image acquisition subunit, and determining target position information convenient for detecting the sleep information of the object according to the environment image;
the execution subject of the method for detecting sleep information may be a control module of an intelligent device for detecting sleep information.
The first detection module can send a human body detection signal for detecting a human body to the environment in real time or at preset time intervals. And receiving an environment feedback signal generated by reflecting the human body detection signal by an object and/or a human body in the environment when the human body detection signal is emitted to the environment.
The first detection module may send the environment feedback signal to the execution main body in real time.
The execution main body can analyze and process the environment feedback signal to determine whether a human body exists in the environment.
If the human body is detected to exist in the environment, the human body posture information can be continuously extracted from the environment feedback signal. To determine whether the human body is in a sleep state.
If the human body is determined to be in the sleep state, the initial position of the human body can be determined according to the environment feedback information including the object information and the human body information. The initial position here may be a coarser position estimate.
After determining the initial position, the executing body may issue an image capturing instruction to the first detecting module. The image acquisition instruction includes information of the initial position.
After receiving the image acquisition instruction, the first detection module may adjust the pose of the image acquisition subunit according to the instruction, so that the environment image acquired by the image acquisition subunit includes a human body image.
The first detection module may send the environment image to the execution main body. The execution body may determine target position information of the human body from the environment image. The target position indicated by the target position information here may be a position for detecting sleep information.
Step 304, driving a second detection module to transmit a sleep detection signal for detecting sleep information to a target position indicated by the target position information; and receiving a detection feedback signal of the sleep detection signal, and determining sleep information of the object corresponding to the human body according to the detection feedback signal.
After determining the target position information, the execution body may send a driving instruction to the second detection module to drive the second detection module to emit a sleep detection signal. The sleep detection signal may cover the target position.
The second detection module also receives a detection feedback signal generated by the sleep detection signal. And transmitting the detection feedback signal to the execution main body.
The execution main body may analyze the subject sleep information corresponding to the human body according to the detection feedback signal.
The sleep information includes, but is not limited to, one of the following: respiratory information, heartbeat information.
The process of determining the sleep information of the object corresponding to the human body may refer to the description of the smart device part for detecting the sleep information, which is not described herein again.
In the method for detecting sleep information provided by this embodiment, an initial position and a target position of a user are determined by a signal generated by a first detection module, and sleep information of the user is determined by a detection feedback signal generated by a second detection module sending a sleep detection signal to the target position; the method and the device realize the purpose of sending the sleep detection signal to the human body after accurate positioning, thereby ensuring higher accuracy of the sleep information detection result.
In some optional implementations, the smart device for detecting sleep information further includes a light source module; and before acquiring the environment image including the human body according to the initial position by using the first detection module in step 303, the method for detecting sleep information further includes:
firstly, the light-emitting parameters of the light source module are determined according to the ambient brightness parameters detected by the light source module.
And secondly, controlling the light source module to emit light according to the light-emitting parameters.
In these alternative implementations, the ambient brightness parameter may be detected by the light source module described above. And determining the light-emitting parameters of the light source module by the executive body.
In these optional implementations, the execution main body determines a lighting parameter for lighting, and controls the light source module to light according to the lighting parameter, which is beneficial to ensuring consistency between lighting timing of the light source module and demand timing.
In some application scenarios, the light source module may include an ambient brightness detection subunit and a light emitting subunit. The ambient brightness detection subunit can detect and monitor the ambient brightness parameter and determine the light-emitting parameter according to the ambient brightness parameter. The light source module can drive the light-emitting photon unit to emit illumination light according to the light-emitting parameters.
The light source module is used for providing illumination, so that the first detection module can ensure that the acquired environment image has better definition by enough brightness when acquiring the image, and the accuracy of an analysis result can be improved.
In some optional implementations, the method for detecting sleep information further includes the following steps:
in response to detecting that the position of the human body moves, adjusting the pose of the second detection module to a second pose according to the updated position to which the human body moves, so that the second detection module is matched with the updated position in the second pose.
In these optional implementations, the adjusting adjusts the pose of the second detection module to a second pose, including adjusting the position of the second detection module in a vertical direction and/or a horizontal direction, and further including adjusting the angle of the second detection module.
The adjustment of the pose of the second detection module to the second pose may be performed by a pose adjustment module provided in the smart device for detecting sleep information, or may be performed by the second detection module itself.
In these alternative implementations, the movement of the human body position can be determined by an environment feedback signal generated by the human body detection signal of the first detection unit and an environment image acquired by the first detection module.
After the position of the human body moves, the second detection module can adjust the pose of the collected sleep information along with the change of the position of the human body by adjusting the pose of the second detection module. The uninterrupted sleep information acquisition is realized.
In some optional implementations, the smart device for detecting sleep information further includes a light source module, and the method further includes:
and adjusting the pose of the light source module to a third pose so as to enable the illumination light rays emitted by the light source module to be matched with the updated position.
In these alternative implementations, the implementation of the pose adjustment of the light source module may be implemented by a pose adjustment module.
The pose of the light source module is adjusted along with the change of the position of the human body, so that the light source module can well provide illumination for the human body, and detection feedback signals received by the second detection module are clear.
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the disclosure herein is not limited to the particular combination of features described above, but also encompasses other embodiments in which any combination of the features described above or their equivalents does not depart from the spirit of the disclosure. For example, the above features and (but not limited to) the features disclosed in this disclosure having similar functions are replaced with each other to form the technical solution.
Further, while operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limitations on the scope of the disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.
Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing the claims.

Claims (15)

1. A smart device for detecting sleep information, comprising: the device comprises a first detection module, a second detection module and a control module; wherein
The first detection module is used for sending a human body detection signal for detecting whether a human body exists in the detection environment; if the human body exists and the human body is in a sleep state, acquiring an environment image comprising a human body image so as to determine the target position of the human body;
the second detection module is used for sending a sleep detection signal for detecting sleep information to the target position so as to detect the sleep information of the user;
the control module is used for determining whether a human body exists in the environment based on the human body detection signal; if so, determining whether the human body is in a sleep state; if the human body is in the sleep state, determining an initial position of the human body, and controlling a first detection module to acquire an environment image comprising a human body image according to the initial position; and determining a target position of a human body according to the environment image, driving the second detection module to transmit the sleep detection signal to the target position, and determining sleep information of the object based on the sleep detection signal.
2. The smart device of claim 1, wherein the smart device further comprises a light source module and a pose adjustment module, the pose adjustment module being mechanically coupled to the light source module;
the pose adjusting module is used for adjusting the pose of the light source module according to the initial position so as to enable the adjusted pose of the light source module to be matched with the initial position;
the light source module is used for providing illumination light.
3. The smart device of claim 1, wherein the first detection module comprises a human detection subunit and an image acquisition subunit; wherein
The human body detection subunit is used for sending a human body detection signal for detecting whether a human body exists in the environment and receiving an environment feedback signal of the human body detection signal; sending the environment feedback signal to the control module; receiving an image acquisition instruction sent by a control module, wherein the control module determines that a human body exists in the environment according to the environment feedback signal and the human body is generated in a sleeping state, and the image acquisition instruction comprises an initial position of the human body determined according to the environment feedback signal;
the image acquisition subunit is configured to acquire an environment image including the human body image according to an initial position indicated by the image acquisition instruction, and send the environment image to the control module, so that the control module determines a target position corresponding to the human body according to the environment image.
4. The smart device of claim 3, wherein the human detection subunit includes an infrared sensor and the environment detection signal includes an infrared detection signal.
5. The smart device of claim 2, wherein the pose adjustment module comprises a drive unit that adjusts the position of the light emitting subunit in at least two degrees of freedom.
6. The smart device of claim 2, wherein the light source module comprises an ambient brightness detection subunit and a light emitting subunit; wherein the content of the first and second substances,
the environment brightness detection subunit is used for detecting environment brightness;
and the light-emitting photon unit is used for receiving the light-emitting parameters adjusted by the ambient brightness and emitting the illumination light matched with the light-emitting parameters.
7. The smart device of claim 2, wherein the pose adjustment module is further to:
and adjusting the position of the second detection module to enable the detection signal sent by the second detection module to be matched with the target position.
8. The smart device of claim 1, wherein the smart device comprises a desk lamp.
9. An intelligent method for detecting sleep information is applied to an intelligent device, the intelligent device comprises a first detection module, a second detection module and a control module, and the method comprises the following steps:
responding to an environment feedback signal according to a human body detection signal sent by a first detection module, detecting that a human body exists in an environment, and determining whether the corresponding posture of the human body is a sleep posture or not based on the environment feedback signal;
in response to determining that the corresponding posture of the human body is a sleep posture, determining an initial position of the human body according to the environment feedback signal;
acquiring an environment image including the human body according to the initial position by using a first detection module, and determining target position information facilitating detection of sleep information of the subject according to the environment image;
and driving a second detection module to send a sleep detection signal for detecting sleep information to a target position indicated by the target position information, receiving a detection feedback signal of the sleep detection signal, and determining the sleep information of the object corresponding to the human body according to the detection feedback signal.
10. The method of claim 9, wherein the smart device for detecting sleep information further comprises a light source module; and
before the acquiring, with the first detection module, the environmental image including the human body from the initial position, the method further includes:
determining a light emitting parameter of the light source module according to the ambient brightness parameter detected by the light source module;
and controlling the light source module to emit light according to the light-emitting parameters.
11. The method according to claim 9 or 10, wherein prior to said acquiring with the first detection module an environmental image comprising the human body from the initial position, the method further comprises:
determining a first pose of the light source module according to the initial position;
and adjusting the pose of the light source module to the first pose, and simultaneously controlling the light source module to emit light rays for illumination.
12. The method of claim 9, wherein the method further comprises:
in response to detecting that the position of the human body moves, adjusting the pose of the second detection module to a second pose according to the updated position to which the human body moves, so that the second detection module is matched with the updated position in the second pose.
13. The method of claim 12, wherein the smart device for detecting sleep information further comprises a light source module, and the method further comprises:
and adjusting the pose of the light source module to a third pose so as to enable the illumination light rays emitted by the light source module to be matched with the updated position.
14. The method of claim 13, wherein the adjusting the pose of the light source module to a third pose comprises:
and adjusting the pose of the light source module to a third pose by using a position adjusting unit arranged in the intelligent device for detecting the sleep information.
15. The method of claim 9, wherein the sleep information comprises at least one of: respiratory information, heartbeat information.
CN202210474973.3A 2022-04-29 2022-04-29 Intelligent device and method for detecting sleep information Pending CN114847880A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115546292A (en) * 2022-12-02 2022-12-30 首都医科大学附属北京同仁医院 Head position interpretation method, body position verification method, computing device and storage medium

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115546292A (en) * 2022-12-02 2022-12-30 首都医科大学附属北京同仁医院 Head position interpretation method, body position verification method, computing device and storage medium
CN115546292B (en) * 2022-12-02 2023-03-17 首都医科大学附属北京同仁医院 Head position interpretation method, body position verification method, computing device and storage medium

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