CN116548927A - Vehicle-mounted sleep management method, device, equipment and storage medium - Google Patents
Vehicle-mounted sleep management method, device, equipment and storage medium Download PDFInfo
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Classifications
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Abstract
The embodiment of the invention discloses a vehicle-mounted sleep management method, a device, equipment and a storage medium, wherein the method comprises the following steps: in a vehicle sleep mode, acquiring an in-vehicle sleep position of a target object, and determining target non-contact detection equipment according to the in-vehicle sleep position; determining sleep index detection information according to detection data of the target non-contact detection equipment on the target object; and carrying out sleep health analysis on the sleep index detection information, and determining a target sleep health analysis result. The technical scheme of the embodiment of the invention solves the problems that the sleeping parameters of the user are required to be detected according to the contact sensor in the prior art, and the user experience is poor, the sleeping parameters of the user can be detected through the non-contact sensor, and the sleeping quality management is carried out according to the detection data, so that the user experience is improved.
Description
Technical Field
The embodiment of the invention relates to the technical field of intelligent vehicles, in particular to a vehicle-mounted sleep management method, device and equipment and a storage medium.
Background
Meanwhile, as the scenes of vehicles are more and more, the scenes of resting in the vehicles are more and more gradually, so that higher sleep health management requirements are provided for the vehicles in the aspect of sleeping in the vehicles. In the prior art, an active sleep promoting technology and equipment such as VR glasses and the like can be introduced into a vehicle to promote the sleep of a user, and the sleep state of the user is further detected by detecting the heart rate, the electroencephalogram and other information of the user through a contact type sensor, but the comfort experience of the user can be influenced due to the fact that the contact type equipment is required to be worn, so that the sleep management function in the vehicle needs to be further perfected.
Disclosure of Invention
The embodiment of the invention provides a vehicle-mounted sleep management method, device, equipment and storage medium, which can detect sleep parameters of a user through a non-contact sensor, and manage sleep quality according to detection data, so that the use experience of the user is improved.
In a first aspect, an embodiment of the present invention provides a vehicle sleep management method, where the method includes:
in a vehicle sleep mode, acquiring an in-vehicle sleep position of a target object, and determining target non-contact detection equipment according to the in-vehicle sleep position;
determining sleep index detection information according to detection data of the target non-contact detection equipment on the target object;
and carrying out sleep health analysis on the sleep index detection information, and determining a target sleep health analysis result.
In a second aspect, an embodiment of the present invention provides a vehicle-mounted sleep management device, including:
the detection equipment determining module is used for acquiring the in-vehicle sleep position of the target object in a vehicle sleep mode and determining target non-contact detection equipment according to the in-vehicle sleep position;
the sleep index determining module is used for determining sleep index detection information according to the detection data of the target non-contact detection equipment on the target object;
the sleep health analysis module is used for carrying out sleep health analysis on the sleep index detection information and determining a target sleep health analysis result.
In a third aspect, an embodiment of the present invention provides a computer apparatus, including:
one or more processors;
a memory for storing one or more programs;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement a vehicle sleep management method as described in any of the embodiments.
In a fourth aspect, an embodiment of the present invention provides a computer readable storage medium having stored thereon a computer program, which when executed by a processor implements a vehicle sleep management method according to any of the embodiments.
According to the technical scheme provided by the embodiment of the invention, the in-vehicle sleep position of the target object is obtained in the vehicle sleep mode, and the target non-contact detection equipment is determined according to the in-vehicle sleep position; determining sleep index detection information according to detection data of the target non-contact detection equipment on the target object; and carrying out sleep health analysis on the sleep index detection information, and determining a target sleep health analysis result. The technical scheme of the embodiment of the invention solves the problems that the sleeping parameters of the user are required to be detected according to the contact sensor in the prior art, and the user experience is poor, the sleeping parameters of the user can be detected through the non-contact sensor, and the sleeping quality management is carried out according to the detection data, so that the user experience is improved.
Drawings
FIG. 1 is a flow chart of a vehicle-mounted sleep management method provided by an embodiment of the invention;
FIG. 2 is a flow chart of yet another vehicle sleep management method provided by an embodiment of the present invention;
FIG. 3 is a workflow diagram of intelligent cockpit breath detection provided by an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a vehicle-mounted sleep management device according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a computer device according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Fig. 1 is a flowchart of a vehicle-mounted sleep management method provided by an embodiment of the present invention, where the embodiment of the present invention is applicable to a scenario in which a sleep index of a user in a vehicle is detected and analyzed, the method may be performed by a vehicle-mounted sleep management device, and the device may be implemented by software and/or hardware.
As shown in fig. 1, a vehicle-mounted sleep management method includes the following steps:
s110, acquiring an in-vehicle sleep position of a target object in a vehicle sleep mode, and determining target non-contact detection equipment according to the in-vehicle sleep position.
The vehicle sleep mode may be a preset mode for detecting sleep quality of a user in the vehicle. In the vehicle sleep mode, sleep related indicators of a user can be detected, and the sleep quality condition of the user can be managed according to the detected sleep related indicators. The target object may be a user who needs to perform sleep related index detection.
The in-vehicle sleep position may be a seat position where the target subject sleeps in the vehicle. Specifically, the sleep position of the target object in the vehicle may be obtained according to the pressure detection result of the preset pressure sensor. For example, when the pressure detection result shows that a certain pressure is applied to a certain seat, it is determined that a user is present at the seat position, and the seat position may be regarded as the in-vehicle sleep position.
The target non-contact detection device may be a non-contact device that detects a sleep-related index of the target object. The target non-contact detection device can detect sleep related indexes of the target object in a non-contact detection mode, and can improve the use experience of a user. Specifically, the target non-contact detection device comprises a preset physiological index detection device and a preset snore detection device. The preset physiological index detection device may be a device for detecting a physiological index of a target object, such as a vehicle-mounted camera and a vehicle-mounted radar; the preset snore detecting device may be a device for detecting sleep snore of a target subject, such as a car microphone. The target non-contact detection devices can be multiple, namely, each vehicle seat corresponds to one set of non-contact detection device, and the target non-contact detection device corresponding to the vehicle sleeping position can be determined when the vehicle sleeping position is determined.
By determining the sleep position in the vehicle and then determining the target non-contact detection equipment according to the sleep position in the vehicle, the relevant detection equipment can only detect the sleep relevant indexes of the relevant areas of the user in the vehicle, so that unnecessary functional loss is reduced, the calculation force requirement is reduced, and the detection efficiency of the sleep relevant indexes is improved.
S120, determining sleep index detection information according to the detection data of the target non-contact detection equipment on the target object.
The sleep index detection information may be information for detecting a sleep related index of the target object according to the target non-contact detection apparatus. Specifically, the physiological index of the target object can be detected based on the preset physiological index detection device, then the detection data is input into the target physiological index analysis model trained in advance to obtain the physiological index detection information, the snore audio signal of the target object is collected based on the preset snore detection device to obtain the snore detection information, and then the physiological index detection information and the snore detection information are used as the sleep index detection information.
S130, performing sleep health analysis on the sleep index detection information, and determining a target sleep health analysis result.
The target sleep health analysis result may be a result of analyzing a sleep condition of the target subject. The target sleep health analysis result can be determined by performing sleep health analysis on the sleep index detection information. Specifically, the physiological index detection information and the snore detection information can be input into a target sleep health analysis model trained in advance to obtain a target sleep health analysis result.
The target sleep health analysis model can analyze whether the physiological index detection information and the snore detection information have abnormal conditions so as to determine whether the target sleep health analysis result is a normal sleep health result or an abnormal sleep health result. For example, under the condition that the physiological indexes of the target object are all in a normal standard range, the snore audio signal shows periodic variation, and no short pause occurs, the target sleep health analysis result can be determined to be a normal sleep health result; under the condition that the physiological index of the target object is abnormal to a small extent, the snore audio signal is temporarily suspended or more seriously abnormal sleep, the target sleep health analysis result can be determined to be the abnormal sleep health result.
According to the technical scheme provided by the embodiment of the invention, the in-vehicle sleep position of the target object is obtained in the vehicle sleep mode, and the target non-contact detection equipment is determined according to the in-vehicle sleep position; determining sleep index detection information according to detection data of the target non-contact detection equipment on the target object; and carrying out sleep health analysis on the sleep index detection information, and determining a target sleep health analysis result. The technical scheme of the embodiment of the invention solves the problems that the sleeping parameters of the user are required to be detected according to the contact sensor in the prior art, and the user experience is poor, the sleeping parameters of the user can be detected through the non-contact sensor, and the sleeping quality management is carried out according to the detection data, so that the user experience is improved.
Fig. 2 is a flowchart of another vehicle-mounted sleep management method according to an embodiment of the present invention, where the embodiment of the present invention is applicable to a scene of detecting and analyzing a sleep index of a user in a vehicle, and further illustrates how to obtain a sleep position of the target object in the vehicle based on the embodiment of the present invention; how to determine sleep index detection information according to detection data of target non-contact detection equipment on a target object; and how to analyze the sleep health of the sleep index detection information, and determining a target sleep health analysis result. The apparatus may be implemented in software and/or hardware, and integrated into a computer device having application development functionality.
As shown in fig. 2, a vehicle-mounted sleep management method includes the following steps:
s210, in a vehicle sleep mode, determining the in-vehicle sleep position of the target object according to a pressure detection result of a preset pressure sensor installed on the seat.
The vehicle sleep mode may be a preset mode for detecting sleep quality of a user in the vehicle. In the vehicle sleep mode, sleep related indicators of a user can be detected, and the sleep quality condition of the user can be managed according to the detected sleep related indicators. The preset pressure sensor may be a preset pressure sensor mounted on the vehicle seat. The preset pressure sensor may be used to detect whether a user is present on the corresponding seat. The target object may be a user who needs to perform sleep related index detection.
The in-vehicle sleep position may be a seat position where the target subject sleeps in the vehicle. Specifically, the in-vehicle sleep position of the target object may be determined according to the pressure detection result of the preset pressure sensor. For example, when the pressure detection result shows that a certain pressure is applied to a certain seat, it is determined that a user is present at the seat position, and the seat position may be regarded as the in-vehicle sleep position. By determining the sleep position in the vehicle, the related detection equipment can only detect the sleep related indexes of the related areas of the users in the vehicle, so that unnecessary functional loss is reduced, the calculation force requirement is reduced, and the sleep related index detection efficiency is improved.
S220, determining target non-contact detection equipment according to the sleeping position in the vehicle.
The target non-contact detection device may be a non-contact device that detects a sleep-related index of the target object. The target non-contact detection device can detect sleep related indexes of the target object in a non-contact detection mode, and can improve the use experience of a user. Specifically, the target non-contact detection device comprises a preset physiological index detection device and a preset snore detection device. The preset physiological index detection device may be a device for detecting a physiological index of a target object, such as a vehicle-mounted camera and a vehicle-mounted radar; the preset snore detecting device may be a device for detecting sleep snore of a target subject, such as a car microphone. The target non-contact detection devices can be multiple, namely, each vehicle seat corresponds to one set of non-contact detection device, and the target non-contact detection device corresponding to the vehicle sleeping position can be determined when the vehicle sleeping position is determined.
For example, there may be two vehicle cameras, one disposed on the a-pillar or steering wheel in the vehicle, and the other disposed above the cabin, wherein the camera disposed on the a-pillar or steering wheel is configured to perform image acquisition on the user on the driving position seat, and the other camera disposed above the cabin is configured to perform image acquisition on the user on the non-driving position seat. When the sleeping position in the vehicle of the target object has a driving seat position, a camera arranged on the a-pillar or the steering wheel can be started; when the in-vehicle sleep position of the target subject is in the non-driving seat position, the camera provided above the cabin may be activated.
The vehicle-mounted microphone may be provided in plurality, for example, one for each in-vehicle seat. After determining the sleep position of the target object in the vehicle, a vehicle-mounted microphone corresponding to the sleep position in the vehicle can be started for detecting the sleep snore of the target object.
Similarly, a plurality of in-vehicle radars may be provided, for example, one for each in-vehicle seat. After determining the sleep position in the vehicle of the target object, the vehicle-mounted radar corresponding to the sleep position in the vehicle can be started for radar detection of the target object. The target non-contact detection device comprises a preset physiological index detection device and a preset snore detection device.
S230, determining the physiological index detection information according to detection data of the target object by the preset physiological index detection equipment.
The physiological index detection information may be information that detects physiological index information of the target object based on a preset physiological index detection device, for example, the physiological index information may include information such as a heart rate, a respiratory rate, a heart rate variability, a blood pressure, and a blood pressure concentration of the user. And determining the physiological index detection information according to the detection data of the target object by the preset physiological index detection equipment. Specifically, detection data of the target object by the preset physiological index detection device can be input into a pre-trained target physiological index analysis model to obtain physiological index detection information.
The target physiological index analysis model may be a model for determining a physiological index of the target object. The target physiological index analysis model can be obtained after being trained in advance, and in the practical application process, the imaging type photoplethysmography technology can be used as a basis, and the physiological index information such as heart rate, respiratory rate, heart rate variability, blood pressure, blood oxygen concentration and the like of a user can be output by taking a face image of the user every 15 seconds and a vehicle-mounted radar signal as inputs. The face image and the vehicle-mounted radar signal are subjected to fusion analysis through a data fusion algorithm, so that the accuracy of detecting the physiological index detection information can be improved.
The principle of determining heart rate and respiratory rate based on radar signals is as follows: the radar transmits a chirp to the chest area of the patient. The reflected signal is phase modulated due to chest movement. Modulation encompasses all components of motion, including heartbeat and breath induced motion. The radar transmits a plurality of chirps according to a predetermined time interval. Each pulse performs a distance Fast Fourier Transform (FFT) and selects a range bin corresponding to the chest position of the person. Each chirp records the phase of the signal in the selected range bin. From this the phase change is calculated and the velocity is derived therefrom. The obtained velocity still includes all motion components. By performing a Doppler FFT to spectrally analyze the obtained velocity, various components can be resolved. The heart rate of adults is between 0.8 and 2Hz and the respiratory rate is between 0.1 and 0.5 Hz. In a doppler FFT, the velocity components of the heart beat and respiratory frequency are selected and plotted over time. The number of peaks produced in one minute for each frequency is the heart rate and respiratory rate.
S240, determining snore detection information according to the detection data of the preset snore detection equipment on the target object, and taking the physiological index detection information and the snore detection information as sleep index detection information.
The snore detection information can be detected snore audio signal information of a target object, specifically, a vehicle-mounted microphone can be used as preset snore detection equipment, and the snore detection information is determined according to audio signals collected by the vehicle-mounted microphone. The sleep index detection information may be information for detecting a sleep related index of the target object according to the target non-contact detection apparatus. Specifically, the physiological index detection information and the snore detection information may be used as sleep index detection information.
S250, inputting the physiological index detection information and the snore detection information into a pre-trained target sleep health analysis model to obtain a target sleep health analysis result.
The target sleep health analysis model may be a model for analyzing sleep health of a target subject. The target sleep health analysis result may be a result of analyzing a sleep condition of the target subject. Specifically, the physiological index detection information and the snore detection information can be input into a target sleep health analysis model trained in advance to obtain a target sleep health analysis result.
The target sleep health analysis model can analyze whether the physiological index detection information and the snore detection information have abnormal conditions so as to determine whether the target sleep health analysis result is a normal sleep health result or an abnormal sleep health result. For example, under the condition that the physiological indexes of the target object are all in a normal standard range, the snore audio signal shows periodic variation, and no short pause occurs, the target sleep health analysis result can be determined to be a normal sleep health result; under the condition that the physiological index of the target object is abnormal to a small extent, the snore audio signal is temporarily suspended or more seriously abnormal sleep, the target sleep health analysis result can be determined to be the abnormal sleep health result.
In an alternative embodiment, after the sleep mode of the vehicle is finished, the sleep posture of the target object can be determined according to the detection data of the target non-contact detection device; and under the condition that the target sleep health analysis result is an abnormal sleep result, generating corresponding sleep improvement advice according to the abnormal sleep result and the sleep posture of the target object. For example, the vehicle-mounted camera can be used for acquiring images in the cabin, so that the sleeping postures of the user can be identified, and at least the sleeping postures of the user, namely, left side lying, right side lying, supine lying and prone lying, can be identified. Further, whether the sleep is abnormal or not may be determined according to the target sleep health analysis result, and for example, when the physiological indexes such as the heart rate, the respiratory rate, the heart rate variability, the blood pressure concentration and the like of the target subject are abnormal or the snore audio signal is abnormal, the target sleep health analysis result may be determined to be the abnormal sleep result.
Subsequently, corresponding sleep improvement advice may be generated based on the severity of the abnormal sleep outcome and the sleep posture of the target subject. For example, since the sleeping posture of the target is a healthier sleeping posture, when the sleeping posture of the target is a non-sleeping posture of the target, the target can be recommended to modify the sleeping posture into left-side lying and right-side lying under the abnormal conditions that the physiological index is abnormal to a small extent or the snore audio signal is temporarily suspended; under the abnormal conditions that the physiological index of the target object is abnormal in severity degree or snore audio signals are suspended for a long time and the like, the target object can be suggested to carry out medical treatment in time. By generating the corresponding sleep improvement advice according to the target sleep health analysis result and the sleep posture of the target object, the corresponding sleep improvement advice can be generated according to the detection information of the target object so as to remind the user to correct the wrong sleep habit in time, and the user can be treated in time under the serious sleep abnormality condition, so that the sleep health condition of the user can be scientifically managed, and the sleep health of the user is improved.
In an alternative embodiment, the sleep index detection information may also be numerically analyzed to determine whether the user on the seat is in a sleep state. Specifically, the physiological index value of the user can be compared with a preset sleep index range, and whether the user on the seat is in a sleep state or not can be determined together according to the comparison result and the snore detection information. For example, when the physiological index value of the user is not within the preset sleep index range but the snore audio signal exists, the user on the seat can be determined to enter a sleep state; when the physiological index value of the user is not in the preset sleep index range and no snore audio signal exists, the user on the seat can be determined to not enter a sleep state or have serious sleep abnormality.
Upon determining that the user on the seat has not entered the sleep state, a non-contact detection device corresponding to the seat may be paused; detecting the sleep index detection information of the user again at intervals of a preset time period, and starting non-contact detection equipment corresponding to the seat to continuously check the user when the user on the seat is determined to enter a sleep state after detection. By determining the sleep state of the user and then determining the closing condition of the corresponding non-contact detection equipment according to the sleep state, the corresponding non-contact detection equipment can be closed when the user is in the non-sleep state, so that resources in the vehicle are saved, the calculation force requirement is reduced, and the consumption of unnecessary vehicle resources is reduced.
Fig. 3 is a flowchart of an intelligent cockpit respiration detection according to an embodiment of the present invention, where, as shown in fig. 3, the workflow of the intelligent cockpit respiration detection is as follows: respectively carrying out position location, sleep and respiratory condition recognition and sleep posture detection on a user in the vehicle; when the user position is positioned, the whole position of the user can be determined based on the occupation sensor, then the face position of the user is determined based on the camera, and the whole position of the user and the face position of the user are integrated to position the user; when the sleep and respiration situation is identified, physiological information detection can be performed based on the non-contact sensor, sound information detection can be performed based on the microphone, and then the sleep and respiration situation is identified according to the physiological information and the sound information; when the sleeping gesture is detected, gesture detection can be performed based on the camera, and image recognition can be performed on images shot by the camera so as to determine the sleeping gesture.
The workflow of the on-board sleep management is illustrated as follows:
1. the user manually sets the vehicle to enter a sleep mode.
2. The detection of the user position is first initiated, considering that the user has a limited range of movement while sleeping in the car, so the user position is detected only once when entering the sleep mode.
3. Detecting a user at a corresponding position according to a result output by the user position positioning module, and taking only the position of the user as an interested region for the camera sensor so as to reduce the calculation force required by algorithm operation; if the radar sensor is equipped, the radar sensor at the corresponding position is started to detect the physiological information of the user; and starting a microphone to identify the sound in the cabin, and identifying the snoring sound of the user; after the complete physiological information and snoring sounds are identified, identifying whether the user has an apnea problem or not based on algorithms such as a support vector base; if so, the system records information such as the severity, duration and the like of the apnea of the user.
4. If the user has an apnea condition, the sleep posture detection module starts to detect the sleep posture of the user and records the sleep posture.
5. When the user finishes sleeping, the system generates a sleep report for the user, and displays the sleeping time, whether the apnea occurs, the severity and the improvement advice, wherein the improvement advice is mainly adjusted by the sleeping posture of the user.
According to the technical scheme provided by the embodiment of the invention, the in-vehicle sleeping position of the target object is determined according to the pressure detection result of the preset pressure sensor arranged on the seat in the vehicle sleeping mode; determining target non-contact detection equipment according to the sleeping position in the vehicle; determining the detection information of the physiological index according to the detection data of the target object by the preset physiological index detection equipment; determining snore detection information according to detection data of a target object by a preset snore detection device, and taking the physiological index detection information and the snore detection information as sleep index detection information; and inputting the physiological index detection information and the snore detection information into a pre-trained target sleep health analysis model to obtain a target sleep health analysis result. The technical scheme of the embodiment of the invention solves the problems that the sleeping parameters of the user are required to be detected according to the contact sensor in the prior art, and the user experience is poor, the sleeping parameters of the user can be detected through the non-contact sensor, and the sleeping quality management is carried out according to the detection data, so that the user experience is improved.
Fig. 4 is a schematic structural diagram of a vehicle-mounted sleep management device according to an embodiment of the present invention, where the embodiment of the present invention is applicable to a scenario in which a sleep index of a user in a vehicle is detected and analyzed, and the device may be implemented by software and/or hardware, and integrated into a computer device with an application development function.
As shown in fig. 4, an in-vehicle sleep management device includes: the detection device determination module 310, the sleep index determination module 320, and the sleep health analysis module 330.
The detection device determining module 310 is configured to obtain an in-vehicle sleep position of a target object in a vehicle sleep mode, and determine a target non-contact detection device according to the in-vehicle sleep position; a sleep index determining module 320, configured to determine sleep index detection information according to detection data of the target non-contact detection device on the target object; the sleep health analysis module 330 is configured to perform sleep health analysis on the sleep index detection information, and determine a target sleep health analysis result.
According to the technical scheme provided by the embodiment of the invention, the in-vehicle sleep position of the target object is obtained in the vehicle sleep mode, and the target non-contact detection equipment is determined according to the in-vehicle sleep position; determining sleep index detection information according to detection data of the target non-contact detection equipment on the target object; and carrying out sleep health analysis on the sleep index detection information, and determining a target sleep health analysis result. The technical scheme of the embodiment of the invention solves the problems that the sleeping parameters of the user are required to be detected according to the contact sensor in the prior art, and the user experience is poor, the sleeping parameters of the user can be detected through the non-contact sensor, and the sleeping quality management is carried out according to the detection data, so that the user experience is improved.
In an alternative embodiment, the sleep index determining module 320 is specifically configured to: determining physiological index detection information according to detection data of the target object by the preset physiological index detection equipment; and determining snore detection information according to the detection data of the preset snore detection equipment on the target object, and taking the physiological index detection information and the snore detection information as the sleep index detection information.
In an alternative embodiment, the sleep index determining module 320 is specifically configured to: and inputting the detection data of the preset physiological index detection equipment on the target object into a pre-trained target physiological index analysis model to obtain the physiological index detection information.
In an alternative embodiment, the sleep index determining module 320 is specifically configured to: and inputting the physiological index detection information and the snore detection information into a pre-trained target sleep health analysis model to obtain the target sleep health analysis result.
In an alternative embodiment, the detection device determining module 310 further includes: an in-vehicle sleep position determination unit configured to: and determining the sleeping position of the target object in the vehicle according to the pressure detection result of the preset pressure sensor arranged on the seat.
In an alternative embodiment, the in-vehicle sleep management device further includes: a sleep improvement advice module for: determining the sleeping posture of the target object according to the detection data of the target non-contact detection equipment;
and under the condition that the target sleep health analysis result is an abnormal sleep result, generating corresponding sleep improvement advice according to the abnormal sleep result and the sleep posture of the target object.
In an alternative embodiment, the target non-contact detection apparatus includes: vehicle-mounted camera, vehicle-mounted microphone and vehicle-mounted radar.
The vehicle-mounted sleep management device provided by the embodiment of the invention can execute the vehicle-mounted sleep management method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Fig. 5 is a schematic structural diagram of a computer device according to an embodiment of the present invention. Fig. 5 illustrates a block diagram of an exemplary computer device 12 suitable for use in implementing embodiments of the present invention. The computer device 12 shown in fig. 5 is merely an example and should not be construed as limiting the functionality and scope of use of embodiments of the present invention. The computer device 12 may be any terminal device with computing power and may be configured in an on-board sleep management device.
As shown in FIG. 5, the computer device 12 is in the form of a general purpose computing device. Components of computer device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, a bus 18 that connects the various system components, including the system memory 28 and the processing units 16.
Bus 18 may be one or more of several types of bus structures including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus architectures. By way of example, and not limitation, such architectures include Industry Standard Architecture (ISA) bus, micro channel architecture (MAC) bus, enhanced ISA bus, video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.
Computer device 12 typically includes a variety of computer system readable media. Such media can be any available media that is accessible by computer device 12 and includes both volatile and nonvolatile media, removable and non-removable media.
The system memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM) 30 and/or cache memory 32. The computer device 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from or write to non-removable, nonvolatile magnetic media (not shown in FIG. 5, commonly referred to as a "hard disk drive"). Although not shown in fig. 5, a magnetic disk drive for reading from and writing to a removable non-volatile magnetic disk (e.g., a "floppy disk"), and an optical disk drive for reading from or writing to a removable non-volatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In such cases, each drive may be coupled to bus 18 through one or more data medium interfaces. The system memory 28 may include at least one program product having a set (e.g., at least one) of program modules configured to carry out the functions of the embodiments of the invention.
A program/utility 40 having a set (at least one) of program modules 42 may be stored in, for example, system memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment. Program modules 42 generally perform the functions and/or methods of the embodiments described herein.
The computer device 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), one or more devices that enable a user to interact with the computer device 12, and/or any devices (e.g., network card, modem, etc.) that enable the computer device 12 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 22. Moreover, computer device 12 may also communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN) and/or a public network, such as the Internet, through network adapter 20. As shown, network adapter 20 communicates with other modules of computer device 12 via bus 18. It should be appreciated that although not shown in fig. 5, other hardware and/or software modules may be used in connection with computer device 12, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
The processing unit 16 executes various functional applications and data processing by running programs stored in the system memory 28, for example, implementing a vehicle-mounted sleep management method provided in the present embodiment, the method includes:
in a vehicle sleep mode, acquiring an in-vehicle sleep position of a target object, and determining target non-contact detection equipment according to the in-vehicle sleep position;
determining sleep index detection information according to detection data of the target non-contact detection equipment on the target object;
and carrying out sleep health analysis on the sleep index detection information, and determining a target sleep health analysis result.
The present embodiment provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements a vehicle-mounted sleep management method as provided in any embodiment of the present invention, including:
in a vehicle sleep mode, acquiring an in-vehicle sleep position of a target object, and determining target non-contact detection equipment according to the in-vehicle sleep position;
determining sleep index detection information according to detection data of the target non-contact detection equipment on the target object;
and carrying out sleep health analysis on the sleep index detection information, and determining a target sleep health analysis result.
The computer storage media of embodiments of the invention may take the form of any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. The computer readable storage medium may be, for example, but not limited to: an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations of the present invention may be written in one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
It will be appreciated by those of ordinary skill in the art that the modules or steps of the invention described above may be implemented in a general purpose computing device, they may be centralized on a single computing device, or distributed over a network of computing devices, or they may alternatively be implemented in program code executable by a computer device, such that they are stored in a memory device and executed by the computing device, or they may be separately fabricated as individual integrated circuit modules, or multiple modules or steps within them may be fabricated as a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following claims.
Claims (10)
1. A vehicle-mounted sleep management method, comprising:
in a vehicle sleep mode, acquiring an in-vehicle sleep position of a target object, and determining target non-contact detection equipment according to the in-vehicle sleep position;
determining sleep index detection information according to detection data of the target non-contact detection equipment on the target object;
and carrying out sleep health analysis on the sleep index detection information, and determining a target sleep health analysis result.
2. The method according to claim 1, wherein the target non-contact detection device includes a preset physiological index detection device and a preset snore detection device, and the determining sleep index detection information according to detection data of the target object by the target non-contact detection device includes:
determining physiological index detection information according to detection data of the target object by the preset physiological index detection equipment;
and determining snore detection information according to the detection data of the preset snore detection equipment on the target object, and taking the physiological index detection information and the snore detection information as the sleep index detection information.
3. The method according to claim 2, wherein determining the physiological index detection information from the detection data of the target object by the preset physiological index detection device includes:
and inputting the detection data of the preset physiological index detection equipment on the target object into a pre-trained target physiological index analysis model to obtain the physiological index detection information.
4. The method of claim 2, wherein the performing sleep health analysis on the sleep index detection information to determine a target sleep health analysis result comprises:
and inputting the physiological index detection information and the snore detection information into a pre-trained target sleep health analysis model to obtain the target sleep health analysis result.
5. The method of claim 1, wherein the acquiring the in-vehicle sleep position of the target subject comprises:
and determining the sleeping position of the target object in the vehicle according to the pressure detection result of the preset pressure sensor arranged on the seat.
6. The method according to claim 1, wherein the method further comprises:
determining the sleeping posture of the target object according to the detection data of the target non-contact detection equipment;
and under the condition that the target sleep health analysis result is an abnormal sleep result, generating corresponding sleep improvement advice according to the abnormal sleep result and the sleep posture of the target object.
7. The method of claim 1, wherein the target non-contact detection device comprises: vehicle-mounted camera, vehicle-mounted microphone and vehicle-mounted radar.
8. An in-vehicle sleep management device, the device comprising:
the detection equipment determining module is used for acquiring the in-vehicle sleep position of the target object in a vehicle sleep mode and determining target non-contact detection equipment according to the in-vehicle sleep position;
the sleep index determining module is used for determining sleep index detection information according to the detection data of the target non-contact detection equipment on the target object;
the sleep health analysis module is used for carrying out sleep health analysis on the sleep index detection information and determining a target sleep health analysis result.
9. A computer device, the computer device comprising:
one or more processors;
a memory for storing one or more programs;
when executed by the one or more processors, causes the one or more processors to implement an in-vehicle sleep management method as claimed in any one of claims 1-7.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements a vehicle-mounted sleep management method as claimed in any one of claims 1-7.
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