Non-contact baby monitoring method and system
By acquiring the baby's environmental data and movement sound data and establishing a safety model, the problem that the existing baby monitoring system cannot accurately judge the health status in real time is solved, and efficient and accurate safety status warning is achieved.
Patent Information
- Application Number
- CN202510758182.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-09
- Publication Date
- 2025-09-09
AI Technical Summary
Existing infant monitoring systems rely on manual intervention and are unable to accurately judge the infant's health status in real time. They have limitations in terms of real-time performance and data accuracy.
By obtaining the baby's current environmental data, collecting its movement data and sound data within a preset time period, a safety model is established, and the degree of deviation is determined using the movement data and sound data. The safety status of the baby is judged in combination with the safety model.
It achieves efficient and accurate early warning of the baby's safety status, improves monitoring accuracy and response speed, and ensures the safety and health of the baby.
Smart Images
Figure CN120612779A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of data analysis, and in particular to a non-contact infant monitoring method and system. Background Art
[0002] With technological advancements, the application of intelligent monitoring systems is becoming increasingly widespread across multiple fields, particularly in healthcare and childcare. Infant monitoring systems are crucial tools for ensuring infant health and safety, particularly for premature infants and those with special health needs. Existing infant monitoring systems often rely on traditional sensors and manual monitoring methods, but these methods often rely on manual intervention and are unable to accurately assess an infant's health status in real time.
[0003] However, existing technologies still have limitations in terms of real-time performance, data accuracy, and intelligence. There is an urgent need for an innovative, more intelligent infant monitoring system that uses deep learning and data fusion technology to improve monitoring accuracy and response speed, ensuring the safety and health of infants. Summary of the Invention
[0004] The present invention aims to solve the technical problems existing in the prior art and provides a non-contact infant monitoring method and system, which are integrated into a monitor.
[0005] The technical solution of the present invention to solve the above technical problems is as follows: The present invention provides a non-contact infant monitoring method, the method comprising: Obtaining data about the baby's current environment; collecting movement data and sound data of the infant within a preset time period; establishing a security model based on the current environment data; determining a degree of deviation within the preset time period based on the movement data and the sound data; A safety state is determined based on the safety model and the degree of deviation.
[0006] Optionally, the current environment data includes an activity space.
[0007] Optionally, the safety status includes very safe, relatively safe and dangerous.
[0008] Optionally, determining the degree of deviation within the preset time period based on the movement data and the sound data includes: determining a target time period based on the movement data and the sound data; The degree of deviation within the target time period is determined.
[0009] Optionally, determining a target time period according to the movement data and the sound data includes: Divide the preset time period into multiple sub-time periods; Filtering out a sub-period in which the sound data is greater than a preset volume threshold from the multiple sub-periods as a target sub-period; calculating a temporal correlation between the motion data and the sound data within each target sub-period; If the time correlation is greater than a preset first threshold, the target sub-period corresponding to the time correlation is used as the target time period.
[0010] Optionally, calculating the temporal correlation between the motion data and the sound data in each target sub-period includes: The temporal correlation between the motion data and the sound data is calculated using the following formula: ; in, represents the movement data at the i-th moment in any target sub-period, represents the sound data at the i-th moment in any target sub-period, Represents the average value of the movement data in any target sub-period, Represents the average value of the sound data in any target sub-period.
[0011] Optionally, determining the degree of deviation within the target time period includes: detecting an edge image of the activity space; The target time period includes a starting time and a final time; determining a first position of the infant in the activity space at a starting time; determining a second position of the infant in the activity space at a last moment; calculating a distance between the first position and the second position; Calculating a first shortest distance between the first position and the edge image; calculating a second shortest distance between the second position and the edge image; The degree of deviation within the target time period is determined according to the distance, the first shortest distance, and the second shortest distance.
[0012] Optionally, determining the degree of deviation within the target time period based on the distance, the first shortest distance, and the second shortest distance includes: ; Among them, f represents the degree of deviation, represents the first shortest distance, represents the second shortest distance, Indicates distance, w indicates distance The weight parameter of .
[0013] Optionally, determining the safety status according to the safety model and the degree of deviation includes: If the second shortest distance is greater than the first shortest distance, determining that the baby's safety status is very safe; If the second shortest distance is smaller than the first shortest distance, the degree of deviation is input into the safety model, and the safety status of the infant is output.
[0014] The present invention also provides a non-contact infant monitoring system, comprising: A data acquisition module is used to obtain the baby's current environment data; a data collection module, configured to collect movement data and sound data of the infant within a preset time period; A model building module, configured to build a security model based on the current environment data; A calculation module is used to determine the degree of deviation within the preset time period based on the movement data and the sound data; and to determine the safety status based on the safety model and the degree of deviation.
[0015] In addition, to achieve the above objectives, the present invention also proposes an electronic device, comprising: a memory for storing a computer software program; a processor for reading and executing the computer software program, thereby implementing a non-contact infant monitoring method as described above.
[0016] In addition, to achieve the above objectives, the present invention also proposes a non-transitory computer-readable storage medium, in which a computer software program is stored. When the computer software program is executed by a processor, it implements a non-contact infant monitoring method as described above.
[0017] The beneficial effects of the present invention are: (1) The present invention obtains an infant's current environmental data; collects movement data and sound data of the infant within a preset time period; establishes a safety model based on the current environmental data; determines the degree of deviation within the preset time period based on the movement data and sound data; and determines a safety status based on the safety model and the degree of deviation. Using the safety model and the degree of deviation, a more efficient and accurate early warning of the infant's safety status is provided.
[0018] (2) By introducing temporal correlation between the motion data and the sound data, the target time period is determined; by introducing edge images based on the current environment data, the degree of deviation is calculated. This improves the efficiency and accuracy of the calculation of the degree of deviation. BRIEF DESCRIPTION OF THE DRAWINGS
[0019] Figure 1 A scene diagram of a non-contact infant monitoring method provided by the present invention; Figure 2 A flow chart of a non-contact infant monitoring method provided by the present invention; Figure 3 A schematic structural diagram of a non-contact infant monitoring system provided by the present invention; Figure 4 A schematic diagram of the hardware structure of a possible electronic device provided by the present invention; Figure 5 A schematic diagram of the hardware structure of a possible computer-readable storage medium provided by the present invention. DETAILED DESCRIPTION
[0020] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making any creative efforts shall fall within the scope of protection of the present invention.
[0021] In the description of the present invention, the terms "first" and "second" are used for descriptive purposes only and should not be understood to indicate or imply relative importance or implicitly specify the number of the technical features indicated. Therefore, a feature specified as "first" or "second" may explicitly or implicitly include one or more of the specified features. In the description of the present invention, "plurality" means two or more, unless otherwise specifically defined.
[0022] In the description of the present invention, the term "for example" is used to mean "used as an example, illustration or illustration". Any embodiment of the present invention described as "for example" is not necessarily to be construed as being more preferred or advantageous than other embodiments. The following description is given to enable any person skilled in the art to implement and use the present invention. In the following description, details are listed for the purpose of explanation. It should be understood that a person of ordinary skill in the art can recognize that the present invention can be implemented without using these specific details. In other examples, well-known structures and processes are not elaborated in detail to avoid obscuring the description of the present invention with unnecessary details. Therefore, the present invention is not intended to be limited to the embodiments shown, but is consistent with the widest scope consistent with the principles and features disclosed herein.
[0023] See also Figure 1 , Figure 1 This is a scene diagram of a non-contact infant monitoring method provided by the present invention. Figure 1 As shown, the terminal and server are connected via a network, such as a wired or wireless network. Terminals include, but are not limited to, portable devices such as mobile phones and tablets installed with various network platform applications, as well as fixed devices such as computers, kiosks, and advertising machines. The server provides various business services to users, including service push servers and user recommendation servers.
[0024] It should be noted that Figure 1 The scenario diagram of a non-contact infant monitoring method shown is only an example. The terminal, server, and application scenario described in the embodiment of the present invention are intended to more clearly illustrate the technical solution of the embodiment of the present invention and do not limit the technical solution provided by the embodiment of the present invention. Ordinary technicians in this field will know that with the evolution of the system and the emergence of new business scenarios, the technical solution provided by the embodiment of the present invention is also applicable to similar technical problems.
[0025] The terminal installs an application that can be used to: Obtaining data about the baby's current environment; collecting movement data and sound data of the infant within a preset time period; establishing a security model based on the current environment data; determining a degree of deviation within the preset time period based on the movement data and the sound data; A safety state is determined based on the safety model and the degree of deviation.
[0026] See also Figure 2 , provides a flow chart of a non-contact infant monitoring method of the present invention, comprising the following steps: S101, obtaining the baby's current environment data; The current environment data includes an activity space, such as a bed.
[0027] S102, collecting movement data and sound data of the infant within a preset time period; The movement data includes whether the position of the infant in the activity space has changed, and the sound data specifically includes the loudness of the sound in decibels.
[0028] Specifically, infants generally refer to children from birth to one year old. In the early stages of infancy, especially before they can roll over or crawl, they may move through peristalsis. Around 3-6 months, infants begin to learn to roll over. Between 7-10 months, infants typically begin to crawl. Some infants, before or at the same time as crawling, will sit on the ground and use their hands and buttocks to move forward or sideways to change position. Around 9-12 months, infants will try to stand by holding onto objects and gradually learn to stand independently. Around 1 year old, they begin to take their first steps and try to walk. Based on this, infants generate movement data in their activity space.
[0029] In one embodiment, a monitor may be used to collect the movement data and the sound data.
[0030] S103, establishing a security model based on the current environment data; Specifically, a historical dataset of current environmental data is obtained and labeled to identify deviations that are considered very safe, relatively safe, and dangerous. A machine learning model is trained based on the historical dataset until convergence, establishing a safety model. The output of the safety model includes the following: very safe, relatively safe, and dangerous. The machine learning model may be a support vector machine (SVM).
[0031] S104, determining a degree of deviation within the preset time period based on the movement data and the sound data; In one embodiment, S104 may include the following steps: Divide the preset time period into multiple sub-time periods; Filtering out a sub-period in which the sound data is greater than a preset volume threshold from the multiple sub-periods as a target sub-period; calculating a temporal correlation between the motion data and the sound data within each target sub-period; The temporal correlation between the movement data and the sound data is calculated using the following formula: ; in, represents the movement data at the i-th moment in any target sub-period, represents the sound data at the i-th moment in any target sub-period, Represents the average value of the movement data in any target sub-period, Represents the average value of the sound data in any target sub-period.
[0032] If the time correlation is greater than a preset first threshold, the target sub-period corresponding to the time correlation is used as the target time period; detecting an edge image of the activity space; Wherein, the edge image is obtained by an edge detection algorithm.
[0033] The target time period includes a starting time and a final time; determining a first position of the infant in the activity space at a starting time; determining a second position of the infant in the activity space at a last moment; The first position and the second position may be determined by using a monitor.
[0034] calculating a distance between the first position and the second position; Calculating a first shortest distance between the first position and the edge image; calculating a second shortest distance between the second position and the edge image; It should be noted that the distance, the first shortest distance and the second shortest distance may be calculated using algorithms such as Manhattan distance, Euclidean distance and Dijkstra, and are not specifically limited here.
[0035] Determining a degree of deviation within the target time period based on the distance, the first shortest distance, and the second shortest distance, comprising: ; Among them, f represents the degree of deviation, represents the first shortest distance, represents the second shortest distance, Indicates distance, w indicates distance The weight parameter of .
[0036] S105: Determine a safety state according to the safety model and the deviation degree.
[0037] In one embodiment, S105 may include the following steps: If the second shortest distance is greater than the first shortest distance, the baby's current position is farther from the edge of the activity space than the starting position, and the baby's safety status is determined to be very safe; if the second shortest distance is less than the first shortest distance, the baby's current position is closer to the edge of the activity space than the starting position, the degree of deviation is input into the safety model, and the baby's safety status is output.
[0038] The safety status includes very safe, relatively safe and dangerous. Optionally, if the safety status is dangerous, an alarm signal is sent through the monitor to remind medical staff to go and check immediately.
[0039] Therefore, through the safety model and the degree of deviation, a more efficient and accurate early warning of the baby's safety status can be provided.
[0040] See also Figure 3 , Figure 3 This is a structural schematic diagram of a non-contact infant monitoring system provided by the present invention.
[0041] like Figure 3 As shown, a non-contact infant monitoring system proposed in an embodiment of the present invention includes: The data acquisition module 201 is used to obtain the current environment data of the baby; A data collection module 202 is used to collect movement data and sound data of the infant within a preset time period; A model building module 203 is used to build a security model based on the current environment data; The calculation module 204 is configured to determine a degree of deviation within the preset time period based on the movement data and the sound data; and determine a safety state based on the safety model and the degree of deviation.
[0042] See also Figure 4 , Figure 4 Schematic diagram of an embodiment of an electronic device provided by an embodiment of the present invention. Figure 4 As shown, an embodiment of the present invention provides an electronic device 400, including a memory 410, a processor 420, and a computer program 411 stored in the memory 410 and executable on the processor 420. When the processor 420 executes the computer program 411, the following steps are implemented: An application is installed on the electronic device 400, and the application obtains the current environmental data of the infant; collects the movement data and sound data of the infant within a preset time period; establishes a safety model based on the current environmental data; determines the degree of deviation within the preset time period based on the movement data and the sound data; and determines the safety status based on the safety model and the degree of deviation.
[0043] See also Figure 5 , Figure 5 Schematic diagram of an embodiment of a computer-readable storage medium provided in an embodiment of the present invention. Figure 5 As shown, this embodiment provides a computer-readable storage medium 500 on which a computer program 411 is stored. When the computer program 411 is executed by a processor, the following steps are implemented: The computer-readable storage medium 500 includes an application that obtains the current environmental data of the infant; collects the movement data and sound data of the infant within a preset time period; establishes a safety model based on the current environmental data; determines the degree of deviation within the preset time period based on the movement data and the sound data; and determines a safety status based on the safety model and the degree of deviation.
[0044] It should be noted that, in the above embodiments, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant description of other embodiments.
[0045] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0046] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded computer, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A system that specifies the functions of a box or boxes.
[0047] These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction system that is implemented in the process. Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.
[0048] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.
[0049] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.
[0050] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.
Claims
1. A non-contact infant monitoring method, characterized in that: include: Obtaining data about the baby's current environment; collecting movement data and sound data of the infant within a preset time period; The sound data is the loudness of the sound; establishing a security model based on the current environment data; determining a degree of deviation within the preset time period based on the movement data and the sound data; A safety state is determined based on the safety model and the degree of deviation.
2. The non-contact infant monitoring method according to claim 1, characterized in that: The current environment data includes an activity space.
3. The non-contact infant monitoring method according to claim 1, characterized in that: The safety status includes very safe, relatively safe and dangerous.
4. The non-contact infant monitoring method according to claim 2, characterized in that: The determining, based on the movement data and the sound data, the degree of deviation within the preset time period includes: determining a target time period based on the movement data and the sound data; The degree of deviation within the target time period is determined.
5. The non-contact infant monitoring method according to claim 4, characterized in that: The determining of the target time period according to the movement data and the sound data includes: Divide the preset time period into multiple sub-time periods; Filtering out a sub-period in which the sound data is greater than a preset volume threshold from the multiple sub-periods as a target sub-period; calculating a temporal correlation between the motion data and the sound data within each target sub-period; If the time correlation is greater than a preset first threshold, the target sub-period corresponding to the time correlation is used as the target time period.
6. The non-contact infant monitoring method according to claim 5, characterized in that: The calculating the temporal correlation between the motion data and the sound data in each target sub-period includes: The temporal correlation between the motion data and the sound data is calculated using the following formula: ； in, represents the movement data at the i-th moment in any target sub-period, represents the sound data at the i-th moment in any target sub-period, Represents the average value of the movement data in any target sub-period, Represents the average value of the sound data in any target sub-period.
7. The non-contact infant monitoring method according to claim 4, characterized in that: Determining the degree of deviation within the target time period includes: detecting an edge image of the activity space; The target time period includes a starting time and a final time; determining a first position of the infant in the activity space at a starting time; determining a second position of the infant in the activity space at a last moment; calculating a distance between the first position and the second position; Calculating a first shortest distance between the first position and the edge image; calculating a second shortest distance between the second position and the edge image; The degree of deviation within the target time period is determined according to the distance, the first shortest distance, and the second shortest distance.
8. The non-contact infant monitoring method according to claim 7, characterized in that: Determining the degree of deviation within the target time period based on the distance, the first shortest distance, and the second shortest distance includes: ； Among them, f represents the degree of deviation, represents the first shortest distance, represents the second shortest distance, Indicates distance, w indicates distance The weight parameter of .
9. The non-contact infant monitoring method according to claim 7, characterized in that: The determining of the safety status according to the safety model and the degree of deviation includes: If the second shortest distance is greater than the first shortest distance, determining that the baby's safety status is very safe; If the second shortest distance is smaller than the first shortest distance, the degree of deviation is input into the safety model, and the safety status of the infant is output.
10. A non-contact infant monitoring system, characterized in that: include: A data acquisition module is used to obtain the baby's current environment data; a data collection module, configured to collect movement data and sound data of the infant within a preset time period; A model building module, configured to build a security model based on the current environment data; a calculation module, configured to determine a degree of deviation within the preset time period based on the movement data and the sound data; A safety state is determined based on the safety model and the degree of deviation.