CN111067537A - Sleeping posture monitoring method, monitoring terminal and storage medium - Google Patents
Sleeping posture monitoring method, monitoring terminal and storage medium Download PDFInfo
- Publication number
- CN111067537A CN111067537A CN201911096652.9A CN201911096652A CN111067537A CN 111067537 A CN111067537 A CN 111067537A CN 201911096652 A CN201911096652 A CN 201911096652A CN 111067537 A CN111067537 A CN 111067537A
- Authority
- CN
- China
- Prior art keywords
- posture
- user
- data
- human body
- pressure
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1116—Determining posture transitions
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/1036—Measuring load distribution, e.g. podologic studies
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
Abstract
The invention relates to the technical field of monitoring, in particular to a sleeping posture monitoring method, a monitoring terminal and a storage medium, which are applied to the monitoring terminal in communication connection with a microwave radar, wherein the monitoring terminal comprises: the method adopts two detection processes, namely, the detection result of the first detection process is verified by the second detection process, so that the accuracy of user posture detection can be effectively improved, the condition of misjudgment is avoided, meanwhile, when the current posture of the user is detected to be a dangerous posture, reminding information such as a reminding bell is sent to a terminal of the user, and finally, the user can adjust the dangerous posture of the user according to the reminding information without monitoring the state of the user in real time, so that manpower and material resources are saved.
Description
Technical Field
The invention relates to the technical field of monitoring, in particular to a sleeping posture monitoring method, a monitoring terminal and a storage medium.
Background
Special people cannot have the mobility of normal people due to the limitation of physical ability, so that the sleeping posture is easy to be incorrect when sleeping, and the dangers of suffocation, bed falling and the like are caused; taking an infant as an example, the infant often turns over and kicks a quilt when sleeping, and the like, so that the phenomena of clothes pressing the mouth and the nose, quilt uncovering, getting out of bed due to crossing a safe area and the like can occur, the sleeping quality of the infant is influenced, and even the health of the infant is damaged.
In the prior art, a camera is usually adopted for monitoring, the method often causes the situation of misjudgment due to inaccurate monitoring, and nursing personnel needs to pay attention to the change of a monitored image in real time to adjust the dangerous sleeping postures of special crowds in time, so that time and labor are wasted.
Disclosure of Invention
In view of the above, embodiments of the present invention provide a sleeping posture monitoring method, a monitoring terminal, and a storage medium, so as to alleviate the technical problems that in the prior art, erroneous judgment is caused due to inaccurate monitoring, and a caregiver needs to pay attention to changes of a monitored image in real time to adjust a dangerous sleeping posture of a special crowd in time.
(II) technical scheme
In order to achieve the above object, an embodiment of a first aspect of the present invention provides a sleeping posture monitoring method, which is applied to a monitoring terminal in communication connection with a microwave radar, where the monitoring terminal includes: a number of pressure sensors, the method comprising:
detecting the human body posture in the pressure sensing area through a pressure sensor to obtain a first posture;
if the first posture is not in a preset normal posture set, sending a control command for starting detection to the microwave radar;
receiving posture detection data sent by a microwave radar, and determining the human body posture in the pressure sensing area according to the posture detection data to obtain a second posture;
and if the second posture is the same as the first posture, generating a second posture abnormity prompt and sending prompt information to the terminal.
Optionally, detecting the human body posture in the pressure sensing area by the pressure sensor to obtain a first posture, including:
detecting current pressure data of a user in a pressure sensing area through a pressure sensor;
and determining a first gesture corresponding to the current pressure data based on the corresponding relation between the preset pressure data and the gesture.
Optionally, determining a first posture corresponding to the current pressure data based on a preset correspondence between the pressure data and the posture includes:
matching the detected current pressure data with gesture data in a gesture comparison table stored in advance;
and determining a first posture corresponding to the current pressure data.
Optionally, receiving posture detection data sent by a microwave radar, determining a human body posture in the pressure sensing area according to the posture detection data, and obtaining a second posture, including:
receiving current human body contour data of a user in a pressure sensing area, which is sent by a microwave radar;
and determining a second posture corresponding to the current human body contour data based on the corresponding relation between the preset human body contour data and the postures.
Optionally, determining a second posture corresponding to the current human body contour data based on a preset corresponding relationship between the human body contour data and the postures, including:
and inputting the current human body contour data into a deep learning network for action recognition to obtain a second posture corresponding to the current human body contour data, wherein the deep learning network is obtained by utilizing the corresponding relation between the preset human body contour data and the posture for training in advance.
Optionally, the method further includes:
if a request of user self-defining pressure data and gesture is received, acquiring user-defined target pressure data and target gesture from a terminal;
establishing a corresponding relation between the user-defined target pressure data and the target posture;
and correspondingly storing the customized target pressure data, the target posture and the corresponding relation.
Optionally, the method further includes:
and if a request that a user selects the custom corresponding relation is received, acquiring the corresponding relation between the pressure data and the posture of the historical record.
Optionally, the method further includes:
if a request of user self-defining normal posture is received, obtaining the user self-defining normal posture from the terminal;
and storing the normal postures into a preset normal posture set.
In order to achieve the above object, an embodiment of a second aspect of the present invention provides a monitoring terminal, including: the system comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory are communicated with each other through the communication bus; the memory stores a computer program operable on the processor, and the monitoring terminal comprises: the system comprises a microwave radar and a plurality of pressure sensors connected with the microwave radar through communication links, wherein the steps of the method are realized when the processor executes a computer program.
In order to achieve the above object, a storage medium is provided according to a third embodiment of the present invention, in which a computer program is stored, wherein the computer program is configured to perform the above method when running.
(III) the beneficial effects are as follows:
the embodiment of the invention has the following advantages or beneficial effects:
the embodiment of the invention provides a sleeping posture monitoring method, which is applied to a monitoring terminal in communication connection with a microwave radar, wherein the monitoring terminal comprises the following components: a number of pressure sensors, the method comprising: detecting the human body posture in the pressure sensing area through a pressure sensor to obtain a first posture; if the first posture is not in a preset normal posture set, sending a control command for starting detection to the microwave radar; receiving posture detection data sent by a microwave radar, and determining the human body posture in the pressure sensing area according to the posture detection data to obtain a second posture; and if the second posture is the same as the first posture, generating a second posture abnormity prompt and sending prompt information to the terminal.
According to the method, two detection processes are adopted, namely, the first detection result is verified by the second detection process, so that the accuracy of the user posture detection can be effectively improved, the misjudgment is avoided, meanwhile, when the current posture of the user is detected to be a dangerous posture, reminding information such as a reminding bell is sent to a terminal of the user, the user can adjust the dangerous posture of the user according to the reminding information without monitoring the state of the user in real time, and manpower and material resources are saved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
Fig. 1 is a schematic flow chart of a sleeping posture monitoring method according to an embodiment of the present invention;
fig. 2 is a block diagram of a sleeping posture monitoring device according to an embodiment of the present invention;
fig. 3 is a structural diagram of a monitoring terminal according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
The invention is described in further detail below with reference to the following figures and detailed description:
fig. 1 is a schematic flow chart of a sleeping posture monitoring method according to an embodiment of the present invention;
the technical problem that the existing monitoring terminal can adjust the dangerous sleeping posture of special people in time only by monitoring inaccurate erroneous judgment and needing a caregiver to pay attention to the change of a monitoring image in real time is solved, and therefore, as shown in fig. 1, the sleeping posture monitoring method provided by the embodiment of the invention is applied to the monitoring terminal in communication connection with a microwave radar, wherein the communication connection mode can adopt Bluetooth connection; the monitoring terminal comprises: a plurality of pressure sensors, wherein the plurality of pressure sensors are disposed on the bed, and an area formed by the plurality of pressure sensors is a pressure sensing area, the pressure sensing area is larger than a contour area of an adult, and generally, in order to improve detection accuracy, the pressure sensing area is generally set to be the same size as the bed, and the method may include the following steps:
step S101, detecting the human body posture in a pressure sensing area through a pressure sensor to obtain a first posture;
in one embodiment of the invention, the method comprises the following steps:
detecting current pressure data of a user in a pressure sensing area through a pressure sensor;
determining a first posture corresponding to the current pressure data based on a corresponding relation between preset pressure data and postures;
wherein, include: matching the detected current pressure data with gesture data in a gesture comparison table stored in advance;
and determining a first posture corresponding to the current pressure data.
Step S102, if the first posture is not in a preset normal posture set, sending a control command for starting detection to the microwave radar;
wherein, normal posture set can be according to using crowd to set up in advance, for example, to the infant, normal posture set then is for lying on the back, left side crouches and right side crouches etc. and is the injured patient of right leg when using the crowd, normal posture set then is for lying on the back and left side crouches etc. to the infant is an example, when detecting that the first posture of infant is crouching on the stomach, compare first posture for crouching on the stomach with predetermined normal posture set, because crouching on the stomach does not belong to the posture in predetermineeing normal posture set, so to microwave radar sends the control command that begins the detection, utilize microwave radar to carry out the secondary detection to user's current posture, improve the degree of accuracy that detects.
Step S103, receiving posture detection data sent by a microwave radar, and determining a human body posture in the pressure sensing area according to the posture detection data to obtain a second posture;
wherein, include:
receiving current human body contour data of a user in a pressure sensing area, which is sent by a microwave radar;
and determining a second posture corresponding to the current human body contour data based on the corresponding relation between the preset human body contour data and the postures.
Specifically, the method comprises the following steps: and inputting the current human body contour data into a deep learning network for action recognition to obtain a second posture corresponding to the current human body contour data, wherein the deep learning network is obtained by utilizing the corresponding relation between the preset human body contour data and the posture for training in advance.
Preferably, the deep learning network is a CNN network, or other deep learning frameworks are all applicable to the embodiment.
And step S104, if the second posture is the same as the first posture, generating a second posture abnormity prompt and sending a prompt message to the terminal.
The reminding information comprises an instruction for controlling the opening of a terminal ring of a user, and after the instruction is received by the terminal of the user, such as a mobile phone, a tablet computer and the like, the ring can be opened, so that a nursing staff is reminded that the current user is in an abnormal posture state and needs to adjust in time.
When the device is used, taking an infant as an example, firstly, detecting current pressure data of a user through a plurality of pressure sensors, matching the current pressure data with a posture comparison table stored in advance to determine a current first posture of the user, then, detecting whether the first posture is in a preset normal posture set, for example, when the preset normal posture set is supine and left-side lying, detecting that the first posture is supine, comparing the first posture with the preset normal posture set, and if the supine position is in the preset normal posture set, indicating that the current posture of the user belongs to the normal posture and no abnormality occurs, executing a step of detecting a human body posture in a sensing pressure area through the pressure sensors to obtain the first posture;
on the contrary, when detecting out first posture for lying prone, compare this first posture with predetermined normal posture set, because lie prone and not belong to in the predetermined normal posture set, then explain that the current posture of user belongs to unusual posture, in order to improve the degree of accuracy that detects, utilize microwave radar to carry out the secondary to user's current posture and detect, microwave radar is after receiving the control command that the start that monitoring terminal sent detected, begins to detect the user in the pressure sensing region, and the process is as follows:
microwave radar detects out this user's present human profile data, later carries out gesture recognition with this human profile data input into deep learning network to reacing the second posture, if the second posture also lies prone, then explain that first posture testing result is correct, then send reminder information to user's terminal, the reminder information includes: the instruction that control user's terminal ringtone was opened, then the warning bell at user's terminal will sound to show on the terminal, current user is in the posture of lying prone, has warning information such as danger, and the caregiver can know user's current state, thereby in time adjusts user's posture, guarantees user's safety.
According to the method, two detection processes are adopted, namely, the first detection result is verified by the second detection process, so that the accuracy of the user posture detection can be effectively improved, the misjudgment is avoided, meanwhile, when the current posture of the user is detected to be a dangerous posture, reminding information such as a reminding bell is sent to a terminal of the user, the user can adjust the dangerous posture of the user according to the reminding information without monitoring the state of the user in real time, and manpower and material resources are saved.
In an embodiment of the present invention, in order to facilitate the use of the caregiver, the caregiver can customize, in the terminal, a corresponding relationship between the pressure data and the posture according to the habit of the user, and the method further includes:
if a request of user self-defining pressure data and gesture is received, acquiring user-defined target pressure data and target gesture from a terminal;
establishing a corresponding relation between the user-defined target pressure data and the target posture;
and correspondingly storing the customized target pressure data, the target posture and the corresponding relation.
In one embodiment of the invention, the method further comprises:
if a request that a user selects a custom corresponding relation is received, acquiring the corresponding relation between pressure data and gestures of a historical record;
specifically, when a caregiver clicks a custom package at a client in the terminal, the custom package is output according to the corresponding relationship between the pressure data and the posture defined by the historical user.
In one embodiment of the present invention, the caregiver can set different postures to normal postures according to different requirements, and the method further comprises:
if a request of user self-defining normal posture is received, obtaining the user self-defining normal posture from the terminal;
and storing the normal postures into a preset normal posture set.
In particular, different gestures may be added to the normal gesture set as desired.
Fig. 2 is a block diagram of a sleeping posture monitoring device according to an embodiment of the present invention;
the sleeping posture monitoring device provided by the embodiment of the invention is applied to a monitoring terminal in communication connection with a microwave radar, and the monitoring terminal comprises: a plurality of pressure sensors, the apparatus comprising:
the first detection module 1 is used for detecting the human body posture in the pressure sensing area through the pressure sensor to obtain a first posture;
the first judgment module 2 is configured to send a control command for starting detection to the microwave radar if the first posture is not in a preset normal posture set;
the second detection module 3 is configured to receive posture detection data sent by a microwave radar, determine a human body posture in the pressure sensing area according to the posture detection data, and obtain a second posture;
and the second judging module 4 is configured to generate a second posture abnormality prompt if the second posture is the same as the first posture, and send a prompt message to the terminal.
In an embodiment of the present invention, the first detecting module 1 is specifically configured to:
detecting current pressure data of a user in a pressure sensing area through a pressure sensor;
and determining a first gesture corresponding to the current pressure data based on the corresponding relation between the preset pressure data and the gesture.
In an embodiment of the present invention, the first detecting module 1 is further specifically configured to:
matching the detected current pressure data with gesture data in a gesture comparison table stored in advance;
and determining a first posture corresponding to the current pressure data.
In an embodiment of the present invention, the second detecting module 3 is specifically configured to:
receiving current human body contour data of a user in a pressure sensing area, which is sent by a microwave radar;
and determining a second posture corresponding to the current human body contour data based on the corresponding relation between the preset human body contour data and the postures.
In an embodiment of the present invention, the second detecting module 3 is further specifically configured to:
and inputting the current human body contour data into a deep learning network for action recognition to obtain a second posture corresponding to the current human body contour data, wherein the deep learning network is obtained by utilizing the corresponding relation between the preset human body contour data and the posture for training in advance.
In one embodiment of the invention, the apparatus further comprises:
the first self-defining module is used for acquiring user-defined target pressure data and target gestures from the terminal if a request of user-defined pressure data and gestures is received;
establishing a corresponding relation between the user-defined target pressure data and the target posture;
and the first storage module is used for correspondingly storing the self-defined target pressure data, the target posture and the corresponding relation.
In one embodiment of the invention, the apparatus further comprises:
and the third judgment module is used for acquiring the corresponding relation between the pressure data and the gesture of the historical record if a request that the user selects the custom corresponding relation is received.
In one embodiment of the invention, the apparatus further comprises:
the second custom module is used for acquiring the normal posture defined by the user from the terminal if a request for defining the normal posture by the user is received;
and the second storage module is used for storing the normal posture into a preset normal posture set.
Fig. 3 is a structural diagram of a monitoring terminal according to an embodiment of the present invention;
the embodiment of the invention provides a monitoring terminal, which comprises: the system comprises a processor 5, a communication interface 6, a memory 7 and a communication bus 8, wherein the processor 5, the communication interface 6 and the memory 7 are communicated with each other through the communication bus 8; the memory 7 stores a computer program operable on the processor 5, and the monitoring terminal includes: a microwave radar and a plurality of pressure sensors connected to the microwave radar via a communication link, wherein the processor 5 implements the steps of the method when executing a computer program.
In the monitoring terminal provided by the embodiment of the invention, the processor 5 realizes the detection of the current position of the user by executing the program stored in the memory 7; determining a target position to be moved to around the current position of the user; controlling the traveling mechanism to move from the current position of the equipment to the target position; the intelligent device is designed to be movable, during use, the intelligent device carries out real-time detection on the current position of the user and determines the target position of the intelligent device, then the walking mechanism is controlled to move to the target position from the current position of the intelligent device, real-time following of the user is achieved, the distance between the intelligent device and the user is shortened, the intelligent device can conveniently recognize voice commands sent by the user in time, and the satisfaction degree of the user is improved.
The communication bus 8 mentioned in the above monitoring terminal may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The communication bus 81140 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 3, but this does not mean only one bus or one type of bus.
The communication interface 6 is used for communication between the above-described electronic apparatus and other apparatuses.
The memory 7 may include a random access memory 7 (RAM), or may also include a non-volatile memory 7(non-volatile memory), such as at least one disk memory 7. Alternatively, the memory 7 may be at least one memory device located remotely from the processor 5.
The processor 5 may be a general-purpose processor 5, and includes a central processing unit 5 (CPU), a network processor 5 (NP), and the like; the device may also be a digital signal processor 5 (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic device, or discrete hardware component.
A storage medium is provided in an embodiment of the present invention, in which a computer program is stored, where the computer program is configured to execute the method described in any one of the above when the computer program runs.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. The procedures or functions according to the embodiments of the invention are brought about in whole or in part when the computer program instructions are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wirelessly (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid state disk (ssd)), among others.
It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
The foregoing are merely exemplary embodiments of the present invention, which enable those skilled in the art to understand or practice the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A sleeping posture monitoring method is characterized in that the method is applied to a monitoring terminal in communication connection with a microwave radar, and the monitoring terminal comprises the following steps: a number of pressure sensors, the method comprising:
detecting the human body posture in the pressure sensing area through a pressure sensor to obtain a first posture;
if the first posture is not in a preset normal posture set, sending a control command for starting detection to the microwave radar;
receiving posture detection data sent by a microwave radar, and determining the human body posture in the pressure sensing area according to the posture detection data to obtain a second posture;
and if the second posture is the same as the first posture, generating a second posture abnormity prompt and sending prompt information to the terminal.
2. A sleeping posture monitoring method according to claim 1, wherein the detecting of the human body posture in the pressure sensing area by the pressure sensor to obtain the first posture comprises:
detecting current pressure data of a user in a pressure sensing area through a pressure sensor;
and determining a first gesture corresponding to the current pressure data based on the corresponding relation between the preset pressure data and the gesture.
3. The sleeping posture monitoring method according to claim 2, wherein determining the first posture corresponding to the current pressure data based on the preset correspondence between the pressure data and the posture comprises:
matching the detected current pressure data with gesture data in a gesture comparison table stored in advance;
and determining a first posture corresponding to the current pressure data.
4. A sleeping posture monitoring method according to claim 1, wherein receiving posture detection data transmitted by a microwave radar, determining a posture of a human body in the pressure sensing area according to the posture detection data, and obtaining a second posture comprises:
receiving current human body contour data of a user in a pressure sensing area, which is sent by a microwave radar;
and determining a second posture corresponding to the current human body contour data based on the corresponding relation between the preset human body contour data and the postures.
5. The sleeping posture monitoring method according to claim 4, wherein determining the second posture corresponding to the current human body contour data based on the preset human body contour data and posture corresponding relationship comprises:
and inputting the current human body contour data into a deep learning network for action recognition to obtain a second posture corresponding to the current human body contour data, wherein the deep learning network is obtained by utilizing the corresponding relation between the preset human body contour data and the posture for training in advance.
6. A sleeping posture monitoring method according to claim 1, further comprising:
if a request of user self-defining pressure data and gesture is received, acquiring user-defined target pressure data and target gesture from a terminal;
establishing a corresponding relation between the user-defined target pressure data and the target posture;
and correspondingly storing the customized target pressure data, the target posture and the corresponding relation.
7. A method for monitoring sleeping posture according to claim 6, characterized in that the method further comprises:
and if a request that a user selects the custom corresponding relation is received, acquiring the corresponding relation between the pressure data and the posture of the historical record.
8. A sleeping posture monitoring method according to claim 1, further comprising:
if a request of user self-defining normal posture is received, obtaining the user self-defining normal posture from the terminal;
and storing the normal postures into a preset normal posture set.
9. A monitoring terminal, comprising: the system comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory are communicated with each other through the communication bus; the memory stores a computer program operable on the processor, and the monitoring terminal comprises: a microwave radar and a number of pressure sensors connected to the microwave radar via a communication link, the processor when executing a computer program implementing the steps of the method of any of the preceding claims 1 to 8.
10. A storage medium, in which a computer program is stored, wherein the computer program is arranged to perform the method of any of claims 1 to 8 when executed.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911096652.9A CN111067537A (en) | 2019-11-11 | 2019-11-11 | Sleeping posture monitoring method, monitoring terminal and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911096652.9A CN111067537A (en) | 2019-11-11 | 2019-11-11 | Sleeping posture monitoring method, monitoring terminal and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111067537A true CN111067537A (en) | 2020-04-28 |
Family
ID=70310789
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911096652.9A Pending CN111067537A (en) | 2019-11-11 | 2019-11-11 | Sleeping posture monitoring method, monitoring terminal and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111067537A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113456368A (en) * | 2021-09-03 | 2021-10-01 | 齐鲁工业大学 | Gesture recognition method, system, device, terminal and storage medium |
| CN114838479A (en) * | 2022-03-16 | 2022-08-02 | 青岛海尔空调器有限总公司 | Air conditioner control method and device, electronic equipment and air conditioner |
| CN116563887A (en) * | 2023-04-21 | 2023-08-08 | 华北理工大学 | Sleeping posture monitoring method based on lightweight convolutional neural network |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2013129924A2 (en) * | 2012-02-27 | 2013-09-06 | Nightbalance B.V. | Sleep posture alerting apparatus and method |
| US20160007910A1 (en) * | 2014-07-10 | 2016-01-14 | International Business Machines Corporation | Avoidance of cognitive impairment events |
| EP3398513A1 (en) * | 2017-05-02 | 2018-11-07 | Koninklijke Philips N.V. | Detecting periods of inactivity |
| CN109091303A (en) * | 2018-05-24 | 2018-12-28 | 何泽熹 | Intelligent guarding system |
| CN109171734A (en) * | 2018-10-18 | 2019-01-11 | 中国科学院重庆绿色智能技术研究院 | Human body behavioural analysis cloud management system based on Fusion |
| CN109753948A (en) * | 2019-01-28 | 2019-05-14 | 珠海格力电器股份有限公司 | Air conditioning control method and device, storage medium and processor based on microwave radar |
| CN110211345A (en) * | 2019-05-27 | 2019-09-06 | 歌尔科技有限公司 | Sitting posture reminding method, system and smartwatch |
| CN110292386A (en) * | 2019-06-24 | 2019-10-01 | 中国地质大学（武汉） | A kind of human body sitting posture detection system and method based on video information and piezoelectricity information |
-
2019
- 2019-11-11 CN CN201911096652.9A patent/CN111067537A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2013129924A2 (en) * | 2012-02-27 | 2013-09-06 | Nightbalance B.V. | Sleep posture alerting apparatus and method |
| US20160007910A1 (en) * | 2014-07-10 | 2016-01-14 | International Business Machines Corporation | Avoidance of cognitive impairment events |
| EP3398513A1 (en) * | 2017-05-02 | 2018-11-07 | Koninklijke Philips N.V. | Detecting periods of inactivity |
| CN109091303A (en) * | 2018-05-24 | 2018-12-28 | 何泽熹 | Intelligent guarding system |
| CN109171734A (en) * | 2018-10-18 | 2019-01-11 | 中国科学院重庆绿色智能技术研究院 | Human body behavioural analysis cloud management system based on Fusion |
| CN109753948A (en) * | 2019-01-28 | 2019-05-14 | 珠海格力电器股份有限公司 | Air conditioning control method and device, storage medium and processor based on microwave radar |
| CN110211345A (en) * | 2019-05-27 | 2019-09-06 | 歌尔科技有限公司 | Sitting posture reminding method, system and smartwatch |
| CN110292386A (en) * | 2019-06-24 | 2019-10-01 | 中国地质大学（武汉） | A kind of human body sitting posture detection system and method based on video information and piezoelectricity information |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113456368A (en) * | 2021-09-03 | 2021-10-01 | 齐鲁工业大学 | Gesture recognition method, system, device, terminal and storage medium |
| CN113456368B (en) * | 2021-09-03 | 2022-03-01 | 齐鲁工业大学 | Gesture recognition method, system, device, terminal and storage medium |
| CN114838479A (en) * | 2022-03-16 | 2022-08-02 | 青岛海尔空调器有限总公司 | Air conditioner control method and device, electronic equipment and air conditioner |
| CN116563887A (en) * | 2023-04-21 | 2023-08-08 | 华北理工大学 | Sleeping posture monitoring method based on lightweight convolutional neural network |
| CN116563887B (en) * | 2023-04-21 | 2024-03-12 | 华北理工大学 | Sleeping posture monitoring method based on lightweight convolutional neural network |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111067537A (en) | Sleeping posture monitoring method, monitoring terminal and storage medium | |
| WO2018223812A1 (en) | Smart toilet and safety monitoring system based on smart toilet | |
| US9565718B2 (en) | System and method for detecting and transmitting medical device alarm with a smartphone application | |
| TWI547896B (en) | Intelligent monitoring system | |
| WO2017133576A1 (en) | Electric bed | |
| EP3387629B1 (en) | Baby tracker | |
| US10463294B2 (en) | Video monitoring to detect sleep apnea | |
| US20190130730A1 (en) | Alarm Management | |
| WO2017082037A1 (en) | Central processing device and method for person monitoring system, and person monitoring system | |
| CN111432715B (en) | Closed loop alarm management | |
| CN112712020A (en) | Sleep monitoring method, device and system | |
| CN108540777A (en) | A kind of intelligent control method, device, equipment and storage medium | |
| US20160162730A1 (en) | Apparatus and method for detecting baby urination | |
| TWM537277U (en) | Infant caring information system | |
| JPWO2016181837A1 (en) | Image processing system, image processing apparatus, image processing method, and image processing program | |
| JPWO2018047795A1 (en) | Watch system, watch device, watch method, and watch program | |
| US11138856B1 (en) | Intelligent infant sleep position monitor to avoid SIDS | |
| KR102023336B1 (en) | Smart patient management system and control method thereof | |
| US20200103286A1 (en) | Notification control device, notification control system, and notification control method | |
| WO2016192162A1 (en) | Smart nursing reminder method, nursing end device, and smart nursing system | |
| CN113366529A (en) | Nursing recording device, nursing recording system, nursing recording program, and nursing recording method | |
| CN113671489B (en) | State reminding method and device, electronic equipment and computer readable storage medium | |
| KR102267786B1 (en) | Smart infant monitoring system, server and method | |
| JP7334070B2 (en) | Infusion monitoring device, infusion monitoring system and method | |
| CN106952447A (en) | Healthy warning system and method in beds for domestic use |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |