CN112132112A - Behavior prejudging system - Google Patents
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- 230000036760 body temperature Effects 0.000 claims description 14
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- 238000012545 processing Methods 0.000 claims description 3
- 210000001139 rectus abdominis Anatomy 0.000 claims description 3
- 238000013519 translation Methods 0.000 claims description 3
- 230000002457 bidirectional effect Effects 0.000 claims description 2
- 230000000694 effects Effects 0.000 abstract description 2
- 238000005516 engineering process Methods 0.000 description 2
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- G06V40/20—Movements or behaviour, e.g. gesture recognition
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
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Abstract
The invention relates to the technical field of nursing, and discloses a behavior prejudging system which comprises a background processor, a data acquisition module, a wearable nursing module and a client terminal, wherein the state of an infant is judged based on a neural network; the intelligent infant monitoring system can intelligently pre-judge the state of the infant about to enter, can provide a certain prompting and alarming effect for a caregiver, reduces labor cost of the caregiver, quickly and accurately realizes understanding of infant requirements, reduces misjudgment, and has high practical value and wide application prospect.
Description
Technical Field
The invention relates to the technical field of nursing, in particular to a behavior prejudging system
Background
With the continuous development of modern construction, the life rhythm of people is accelerated continuously, and the life pressure is increased continuously. Because of the heavy pressure of work and life and the lack of experience of nursing babies, the phenomenon that young parents are cared for babies is sometimes happened. The nursing of the infants is a very heavy and delicate work, particularly, the requirements of the infants cannot be correctly expressed by words in the early stage of two years of age, if parents cannot timely master the dynamics of the infants and understand the appeal of the infants, the repeated labor of adults can be increased, and the growth feeling of the infants is also influenced to a certain extent.
Furthermore, when a baby who is unable to correctly express his/her actual condition presents some potentially dangerous or uncomfortable symptoms, parents or caregivers often cannot find the treatment for the first time, thus delaying valuable time.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a behavior prejudging system for solving the problems in the prior art.
The technical scheme adopted by the invention for solving the technical problems is as follows:
a behavior prejudging system comprises a background processor, a data acquisition module, a wearable nursing module and a client terminal, wherein the background processor is respectively connected with the data acquisition module, the wearable nursing module and the client terminal in a bidirectional mode;
the data acquisition module comprises a temperature and humidity acquisition device, an image acquisition device, a sound acquisition device, a life parameter acquisition device and a myoelectric acquisition device arranged on the limbs and the rectus abdominis of the infant, and the temperature and humidity acquisition device, the image acquisition device, the sound acquisition device, the life parameter acquisition device and the myoelectric acquisition device are respectively connected with the background processor;
the temperature and humidity acquisition device is arranged below the infant bed bedding and is used for acquiring the temperature and the humidity of the infant bedding in real time and transmitting the temperature and the humidity to the background processor;
the image acquisition device is used for acquiring images of the infants in real time and transmitting the acquired images to the background processor;
the sound collecting device is used for collecting baby crying voice information in real time and transmitting the information to the background processor;
the life parameter acquisition device is used for acquiring heart rate, body temperature, pulse and respiration information of the infant in real time and transmitting the heart rate, body temperature, pulse and respiration information to the background processor;
the myoelectricity acquisition device is used for acquiring myoelectricity signals of the infants in real time and transmitting the myoelectricity signals to the background processor;
the wearable nursing module is worn by a nursing person and used for receiving and checking prompts and warning information transmitted by the background processor or the state of the infant;
the client terminal is used for checking a real-time display picture transmitted by the background processor and entering a recording display picture, the real-time display picture displays real-time data of temperature and humidity data, heart rate, body temperature, pulse, respiration and images, and the recording display picture displays recorded data and a change trend curve of the body temperature, the heart rate, the pulse and the respiration as well as the time length or the times of the infant in various states according to the day and the week;
the background processor is used for receiving the transmission data of the data acquisition module, establishing a background model for the monitoring environment where the infant is located in advance according to the acquired image, and acquiring the action state of the infant, and specifically comprises the following steps:
obtaining a training image and preprocessing the image: performing data expansion on a training image, and performing gray level processing on the expanded image, wherein the data expansion on the training image comprises the following steps: performing multiple central rotations, horizontal translation and horizontal turning on an image RGB channel and a label thereof, stretching the size of the image to a uniform size, recording the corresponding relation of pixel coordinates before and after zooming, and storing the corresponding relation as a mapping table;
training a neural network of the human body posture by using the processed image as a training sample;
acquiring an acquired image, estimating the human body posture in the image by using a trained human body posture estimation neural network, and comprehensively judging the action state;
the background processor is further used for autonomously learning the ranges of the life parameters and the myoelectric parameters of the infants at the moment based on the neural network to obtain the recognition model.
Preferably, the client terminal comprises a mobile receiving device and an APP installed on the device; the mobile receiving equipment is one or more of an intelligent bracelet, an intelligent mobile phone and a tablet computer.
Preferably, the client terminal further includes a voice interaction module, where the voice interaction module is configured to perform keyword search, and specifically includes: and performing keyword recognition on the local area network, performing relatively complex continuous voice recognition on the cloud server, and receiving a recognition result returned by the cloud terminal by the voice interaction module and converting the recognition result into a corresponding control instruction.
Preferably, the wearable nursing module is further provided with one or more of a face recognition module, a fingerprint recognition module and a password recognition module.
Preferably, the image acquisition device is a high-definition camera with an infrared or night vision function.
Compared with the prior art, the invention has the following beneficial effects:
the method is based on various physiological characteristics and physiological parameters of the infants, and combines an image recognition technology and a neural network technology to obtain preprocessed characteristic data; through modeling in advance, bring the state of infant's normal life into the identification process, the state that the infant is about to get into can intelligent prejudgement infant, can provide certain suggestion and alarm effect for nursing personnel, reduced personnel's labour cost, quick accurate realization reduces the misjudgment to the understanding of infant demand simultaneously, has higher practical value and extensive application prospect.
Drawings
Fig. 1 is a schematic structural diagram of a behavior prediction system according to an embodiment of the present invention.
Detailed Description
The invention is further described below with reference to the drawings and specific preferred embodiments of the description, without thereby limiting the scope of protection of the invention.
Referring to fig. 1, the present embodiment provides a behavior prediction system, in which the background processor is respectively connected to the data acquisition module, the wearable nursing module, and the client terminal in two ways;
the data acquisition module comprises a temperature and humidity acquisition device, an image acquisition device, a sound acquisition device, a life parameter acquisition device and a myoelectric acquisition device arranged on the limbs and the rectus abdominis of the infant, and the temperature and humidity acquisition device, the image acquisition device, the sound acquisition device, the life parameter acquisition device and the myoelectric acquisition device are respectively connected with the background processor;
the temperature and humidity acquisition device is arranged below the infant bed bedding and is used for acquiring the temperature and the humidity of the infant bedding in real time and transmitting the temperature and the humidity to the background processor;
the image acquisition device is used for acquiring images of the infants in real time and transmitting the acquired images to the background processor;
the sound collecting device is used for collecting baby crying voice information in real time and transmitting the information to the background processor;
the life parameter acquisition device is used for acquiring heart rate, body temperature, pulse and respiration information of the infant in real time and transmitting the heart rate, body temperature, pulse and respiration information to the background processor;
the myoelectricity acquisition device is used for acquiring myoelectricity signals of the infants in real time and transmitting the myoelectricity signals to the background processor;
the wearable nursing module is worn by a nursing person and used for receiving and checking prompts and warning information transmitted by the background processor or the state of the infant;
the client terminal is used for checking a real-time display picture transmitted by the background processor and entering a recording display picture, the real-time display picture displays real-time data of temperature and humidity data, heart rate, body temperature, pulse, respiration and images, and the recording display picture displays recorded data and a change trend curve of the body temperature, the heart rate, the pulse and the respiration as well as the time length or the times of the infant in various states according to the day and the week;
the background processor is used for receiving the transmission data of the data acquisition module, establishing a background model for the monitoring environment where the infant is located in advance according to the acquired images, obtaining the action state of the infant, and autonomously learning the range where the life parameters and the myoelectricity parameters of the infant are located at the moment based on the neural network to obtain the identification model.
In the embodiment, the client terminal comprises mobile receiving equipment and an APP installed on the equipment; the mobile receiving equipment is one or more of an intelligent bracelet, an intelligent mobile phone and a tablet computer.
In the embodiment, when the client terminal enters the real-time display screen, real-time data of temperature and humidity data, heart rate, body temperature, pulse, respiration and images are displayed; when entering the recording display screen, the client can display the recorded data and the variation trend curve of the body temperature, the heart rate, the pulse and the respiration according to the day and the week, and the time length or the times of the infant in various states.
In this embodiment, the client terminal further includes a voice interaction module, where the voice interaction module is configured to execute keyword retrieval, and specifically includes: and performing keyword recognition on the local area network, performing relatively complex continuous voice recognition on the cloud server, and receiving a recognition result returned by the cloud terminal by the voice interaction module and converting the recognition result into a corresponding control instruction.
In this embodiment, a background model is established in advance for a monitoring environment in which an infant is located according to an acquired image, and an action state of the infant is obtained, which specifically includes:
obtaining a training image and preprocessing the image: performing data expansion on a training image, and performing gray level processing on the expanded image, wherein the data expansion on the training image comprises the following steps: performing multiple central rotations, horizontal translation and horizontal turning on an image RGB channel and a label thereof, stretching the size of the image to a uniform size, recording the corresponding relation of pixel coordinates before and after zooming, and storing the corresponding relation as a mapping table;
training a neural network of the human body posture by using the processed image as a training sample;
acquiring an acquired image, estimating the human body posture in the image by using the trained human body posture estimation neural network, and comprehensively judging the action state.
The wearable nursing module in the embodiment is further provided with one or more of a face recognition module, a fingerprint recognition module and a password recognition module.
The image acquisition device in the embodiment is a high-definition camera with an infrared or night vision function.
The present embodiment also provides an electronic device, including: a memory for storing executable instructions;
and a processor for communicating with the memory to execute the executable instructions to perform the functional operations of the behavior anticipation system.
The present embodiment also provides a computer-readable storage medium, which stores a behavior anticipation program, where the behavior anticipation program can be executed by one or more processors to implement the functional steps of the behavior anticipation system as described above.
The foregoing is considered as illustrative of the preferred embodiments of the invention and is not to be construed as limiting the invention in any way. Although the present invention has been described with reference to the preferred embodiments, it is not intended to be limited thereto. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical spirit of the present invention should fall within the protection scope of the technical scheme of the present invention, unless the technical spirit of the present invention departs from the content of the technical scheme of the present invention.
Claims (5)
1. A behavior pre-judging system is characterized by comprising a background processor, a data acquisition module, a wearable nursing module and a client terminal, wherein the background processor is respectively connected with the data acquisition module, the wearable nursing module and the client terminal in a bidirectional manner;
the data acquisition module comprises a temperature and humidity acquisition device, an image acquisition device, a sound acquisition device, a life parameter acquisition device and a myoelectric acquisition device arranged on the limbs and the rectus abdominis of the infant, and the temperature and humidity acquisition device, the image acquisition device, the sound acquisition device, the life parameter acquisition device and the myoelectric acquisition device are respectively connected with the background processor;
the temperature and humidity acquisition device is arranged below the infant bed bedding and is used for acquiring the temperature and the humidity of the infant bedding in real time and transmitting the temperature and the humidity to the background processor;
the image acquisition device is used for acquiring images of the infants in real time and transmitting the acquired images to the background processor;
the sound collecting device is used for collecting baby crying voice information in real time and transmitting the information to the background processor;
the life parameter acquisition device is used for acquiring heart rate, body temperature, pulse and respiration information of the infant in real time and transmitting the heart rate, body temperature, pulse and respiration information to the background processor;
the myoelectricity acquisition device is used for acquiring myoelectricity signals of the infants in real time and transmitting the myoelectricity signals to the background processor;
the wearable nursing module is worn by a nursing person and used for receiving and checking prompts and warning information transmitted by the background processor or the state of the infant;
the client terminal is used for checking a real-time display picture transmitted by the background processor and entering a recording display picture, the real-time display picture displays real-time data of temperature and humidity data, heart rate, body temperature, pulse, respiration and images, and the recording display picture displays recorded data and a change trend curve of the body temperature, the heart rate, the pulse and the respiration as well as the time length or the times of the infant in various states according to the day and the week;
the background processor is used for receiving the transmission data of the data acquisition module, establishing a background model for the monitoring environment where the infant is located in advance according to the acquired image, and acquiring the action state of the infant, and specifically comprises the following steps:
obtaining a training image and preprocessing the image: performing data expansion on a training image, and performing gray level processing on the expanded image, wherein the data expansion on the training image comprises the following steps: performing multiple central rotations, horizontal translation and horizontal turning on an image RGB channel and a label thereof, stretching the size of the image to a uniform size, recording the corresponding relation of pixel coordinates before and after zooming, and storing the corresponding relation as a mapping table;
training a neural network of the human body posture by using the processed image as a training sample;
acquiring an acquired image, estimating the human body posture in the image by using a trained human body posture estimation neural network, and comprehensively judging the action state;
the background processor is further used for autonomously learning the ranges of the life parameters and the myoelectric parameters of the infants at the moment based on the neural network to obtain the recognition model.
2. The behavior anticipation system of claim 1, wherein the client terminal comprises a mobile receiving device; the mobile receiving equipment is one or more of an intelligent bracelet, an intelligent mobile phone and a tablet computer.
3. The behavior prediction system according to claim 1, wherein the client terminal further comprises a voice interaction module, and the voice interaction module is configured to perform keyword search, and specifically includes: and performing keyword recognition on the local area network, performing relatively complex continuous voice recognition on the cloud server, and receiving a recognition result returned by the cloud terminal by the voice interaction module and converting the recognition result into a corresponding control instruction.
4. The behavior anticipation system of claim 1, wherein the wearable care module is further configured with one or more of a face recognition module, a fingerprint recognition module, and a password recognition module.
5. The behavior anticipation system of claim 1, wherein the image capturing device is a high-definition camera with infrared or night vision capabilities.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011112907.9A CN112132112A (en) | 2020-10-16 | 2020-10-16 | Behavior prejudging system |
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| CN202011112907.9A CN112132112A (en) | 2020-10-16 | 2020-10-16 | Behavior prejudging system |
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Application publication date: 20201225 |