Simulated baby device for baby care training

Abstract

The invention discloses a simulation baby device for baby care training, and relates to the field of baby care, and the device comprises a simulation baby body, a mechanical eye, a miniature microphone, a wiping care detection module and a control mainboard; the mechanical eyes are arranged at the eye positions of the simulation baby body and used for collecting image information of a caregiver; the miniature microphones are embedded in the ear positions of the simulation baby body and are used for collecting sound information of a caregiver; the wiping care detection module is arranged at the crotch position of the simulation baby body and used for detecting the cleaning and wiping direction; the control mainboard is arranged at the back position of the simulation baby body, is connected with the mechanical eyes, the miniature microphone and the wiping care detection module, and is used for performing simulation training on the cognitive ability of the baby according to the caregiver image information and the caregiver sound information; and performing simulation training on the privacy care of the baby according to the detected cleaning and wiping direction. According to the invention, simulation training can be carried out on privacy care and cognitive competence of the baby.

Description

Technical Field

[0001] The present application relates to the field of infant care, and in particular to a simulated infant device for infant care training. Background Art

[0002] The current simulated babies on the market only change a diaper during the diaper changing operation, and do not have a wiping and cleaning detection function before changing. In actual baby care, in addition to changing diapers, wiping and cleaning are also required before putting on a new diaper. There are differences in wiping and cleaning for baby boys and baby girls.

[0003] Currently, the simulated babies used for teaching in the market are all aimed at the daily care functions of infants, and none of them are aimed at the early cognitive training of infants. Summary of the invention

[0004] The purpose of the present application is to provide a simulated baby device for baby care training, which can simulate the training of the baby's privacy care and cognitive ability.

[0005] To achieve the above-mentioned purpose, the present application provides a simulated baby device for infant care training, comprising: a simulated baby body, a mechanical eye, a miniature microphone, a wiping care detection module and a control mainboard;

[0006] The mechanical eye is arranged at the eye position of the simulated baby body and is used to collect image information of the caregiver;

[0007] The miniature microphone is embedded in the ear of the simulated baby body and is used to collect voice information of the caregiver;

[0008] The wiping and caring detection module is arranged at the crotch position of the simulated baby body and is used to detect the cleaning and wiping direction;

[0009] The control main board is arranged at the back of the simulated baby body, and is respectively connected to the mechanical eye, the miniature microphone and the wiping care detection module, and is used for simulating the training of the baby's cognitive ability according to the caregiver's image information and the caregiver's voice information, and for simulating the training of the baby's privacy care according to the detected cleaning and wiping direction.

[0010] Optionally, the wiping care detection module includes three touch matrices, which are respectively arranged on the left, middle and right sides of the crotch position of the simulated baby body.

[0011] Optionally, the control main board is embedded with a trained Yolov11 model and a regression model, and the trained Yolov11 model is used to simulate the training of the visual cognitive ability of the infant, and the trained regression model is used to simulate the training of the auditory cognitive ability of the infant.

[0012] Optionally, the visual cognitive ability of infants is simulated and trained through the trained Yolov11 model, including:

[0013] Based on the caregiver image information, the trained Yolov11 model is used to identify the caregiver's emotions;

[0014] According to the caregiver's emotions, the emotional value of the simulated infant is adjusted through a state machine to achieve simulated training of the infant's visual cognitive ability.

[0015] Optionally, the auditory cognitive ability of infants is simulated and trained by the trained regression model, specifically including:

[0016] Based on the caregiver's voice information, using a trained regression model to identify the caregiver's emotions;

[0017] Convert the caregiver's voice information into text and determine the care scenario;

[0018] determining a comprehensive emotion value based on the emotion of the caregiver and the care scenario;

[0019] According to the comprehensive emotion value, the emotion value of the simulated infant is adjusted through a state machine to achieve simulated training of the infant's auditory cognitive ability.

[0020] Optionally, the simulated baby device further comprises a body temperature measurement and feeding module, which is arranged at the mouth of the simulated baby body and is used to measure the body temperature of the simulated baby and simulate feeding the simulated baby.

[0021] Optionally, the simulated baby device further comprises a massage touch detection module, which is arranged at the navel position of the simulated baby body and is used to detect hand information of the caregiver during massage;

[0022] The control mainboard is also connected to the massage touch detection module to determine whether the massage operation is correct according to the hand information.

[0023] Optionally, the massage touch detection module is made of a flexible circuit board, and the massage touch detection module is divided into three areas, each area is provided with four regular touch matrices.

[0024] Optionally, the simulated baby device further comprises a head support detection module, which is arranged at the position where the head and body of the simulated baby body are combined, and is used to detect the head support situation.

[0025] Optionally, the simulated baby device further comprises an NFC reading and writing module, which is arranged at the heart and navel of the simulated baby body and is used to detect the dressing status of the simulated baby and the identity information of the caregiver.

[0026] According to the specific embodiments provided in this application, this application has the following technical effects:

[0027] The present application provides a simulated baby device for baby care training, which simulates the training of the baby's visual cognition ability and auditory cognition ability by means of mechanical eyes and miniature microphones arranged at the eye and ear positions of the simulated baby body; detects the cleaning and wiping direction through a wiping care detection module, thereby judging whether the cleaning and wiping are correct, thereby realizing simulated training of privacy care for babies of different genders. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0029] Figure 1 A schematic diagram of functional modules of a simulated baby device for baby care training provided in one embodiment of the present application. DETAILED DESCRIPTION

[0030] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0031] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0032] In an exemplary embodiment, Figure 1 As shown, a simulated baby device for baby care training is provided, comprising: a simulated baby body, a mechanical eye 1, a miniature microphone 2, a wiping care detection module 3 and a control mainboard 4.

[0033] (1) The mechanical eye 1 is set at the eye position of the simulated baby body to collect image information of the caregiver. The mechanical eye 1 includes two slots for accommodating eyeballs. The structure is equipped with three servo motors working together to simulate the normal movement of human eyes, including blinking, horizontal scanning and vertical tracking. The mechanical eye 1 uses a plastic eyeball with a micro camera embedded inside to give the simulated baby visual cognitive ability.

[0034] (2) A micro-microphone 2 is embedded in the ear position of the simulated baby body to collect the voice information of the caregiver. A pair of micro-microphones are embedded in the designed left and right ear positions respectively. Micro-microphone 2 adopts high-sensitivity sound pickup technology to capture the sound information of the surrounding environment. The collected data is processed by the built-in sound processing unit; the sound format is mono, 16hz; and the audio analysis technology is used to further analyze the sound information to give the simulated baby auditory cognitive ability.

[0035] (3) The wiping and caring detection module 3 is arranged at the crotch position of the simulated baby body, and is used to detect the direction of cleaning and wiping. The wiping and caring detection module 3 includes three touch matrices, which are respectively arranged at the left, middle and right sides of the crotch position of the simulated baby body, and are used to sense the direction of cleaning and wiping.

[0036] Due to the difference in physiological structure, the nursing methods for babies of different genders are different; you need to pay attention to the correct direction when cleaning and wiping. For male babies, there is no fixed direction. For female babies, you need to clean and wipe from front to back and from top to bottom, that is, from the urethra to the anus, to avoid retrograde infection.

[0037] (4) The control main board 4 is arranged on the back of the simulated baby body, and is respectively connected to the mechanical eye 1, the micro microphone 2 and the wiping care detection module 3, so as to simulate the training of the baby's cognitive ability according to the image information and the voice information of the caregiver, and simulate the training of the baby's privacy care according to the detected cleaning and wiping direction.

[0038] The control mainboard 4 is embedded with the trained Yolov11 model and regression model.

[0039] 1) Visual cognitive ability simulation training

[0040] This application uses the trained Yolov11 model to simulate the training of the infant's visual cognitive ability: based on the caregiver's image information, the trained Yolov11 model is used to identify the caregiver's emotions; according to the caregiver's emotions, the state machine is used to adjust the simulated infant's emotion value to achieve simulated training of the infant's visual cognitive ability.

[0041] Visual cognition mainly uses artificial intelligence behavioral cognition technology. This application mainly uses the Yolov11 model to detect and identify what the baby sees. The Yolov11 model is improved on the basis of YOLOv8, with a 20% reduction in parameters under the same accuracy, and has unparalleled performance in speed and accuracy. The programmable gradient information (PGI) and generalized efficient layer aggregation network (GELAN) of YOLOv11 are used to improve the accuracy and efficiency of image classification and analysis.

[0042] Caregiver identification: Before arranging the care task, the caregiver's facial information is entered, collected three times, and the collected facial biometric features are vectorized and stored. The Milvus vector database is used here, and the caregiver information and the simulated baby are bound. When the caregiver is caring for the simulated baby, the simulated baby will analyze whether it is its own caregiver and give corresponding feedback on the result; if it is not its own caregiver, it will think it is a stranger and will cry loudly.

[0043] Caregiver facial expression analysis. This application prepares no less than 10,000 facial images of people with different emotions (including: smile (2), surprise (-1), sadness (-2), anger (-5), rage (-10), disgust (-15); among which smile is a positive emotion and the rest are negative emotions; the negative emotion value increases gradually from surprise to disgust) for training the Yolov11 model.

[0044] The simulated baby will collect images of the caregiver's expression every 30 seconds and upload them to the control mainboard 4. After receiving the data, the control mainboard 4 uses the classification detection function of the Yolov11 model to classify the caregiver's emotions and determine the corresponding emotional value; the simulated baby adjusts the feedback emotional value through the state machine; the baby laughs when the emotional value is positive, and cries when the emotional value is negative. The log is recorded during the operation: caregiver's emotions, baby status (emotional status, clothing status, diaper status).

[0045] 2) Auditory cognitive ability simulation training

[0046] The present application performs simulated training on the auditory cognitive ability of an infant through a trained regression model: based on the voice information of the caregiver, a trained regression model is used to identify the emotions of the caregiver; the voice information of the caregiver is converted into text, and the care scenario is judged; a comprehensive emotion value is determined based on the emotion of the caregiver and the care scenario; according to the comprehensive emotion value, the emotion value of the simulated infant is adjusted through a state machine to achieve simulated training of the infant's auditory cognitive ability.

[0047] The unsupervised training process of the regression model is as follows:

[0048] Read the audio data from the prepared dataset directory and frame the audio signal using a window length of 25ms and a frame shift of 10ms to obtain a series of overlapping audio frames. Then, apply the MFCC algorithm to each audio frame to extract its spectral features. Finally, combine these feature vectors to form the MFCC spectrum of the entire audio. Normalize the extracted audio features to eliminate the impact of different recording conditions on the features. Train the regression model by annotating the data in the excel table, combining the audio features and label information. Evaluate the model using K-fold cross validation to ensure the stability and generalization ability of the model. Use GridSearchCV to perform parameter grid search to find the optimal combination of model parameters to maximize model performance.

[0049] This application uses a wifi device and a WS network protocol to transmit the recognized caregiver's voice information to the regression model in the control mainboard 4 in real time (every 5 seconds) for analysis.

[0050] After receiving the data, the control motherboard 4 splices the current voice fragments, searches from back to front according to the silent language characteristics, and finds the voice that is silent for more than 1 second, which is the continuation of a sentence; the separated voice uses the above regression model to analyze the emotion, and obtains the caregiver's current speaking tone (angry, surprised, disgusted, afraid, sad, happy, calm), and each tone is assigned a different emotional weight; and the OpenAI open source framework Whisper is used to transcribe the voice into text; the transcribed text is semantically analyzed through natural language processing (NLP) technology, combined with the care vector vocabulary (including keywords classified as care, chatting, singing nursery rhymes, insults, scolding, etc.) to further judge the care scenario; the system calculates the comprehensive emotion value based on the emotion analysis results and semantic classification results. For example: if the tone is "angry" (-2) and the content is "insulting" (-3), the comprehensive emotion value is -5, and the currently calculated emotion value is returned and the caregiver log is recorded according to the analysis results; the emotion value is divided into multiple levels, and the system will adjust the state of the simulated baby according to the emotion value of the simulated baby;

[0051] The state machine of the simulated baby contains multiple states (such as feeding, sleeping, crying, soothing, changing diapers, playing, etc.), and each state corresponds to a different emotional response. The state machine dynamically adjusts the baby's behavior based on the received emotional value. For example: in the feeding state, if the emotional value is negative, the baby will stop feeding and cry; if the emotional value is positive, the baby will continue to feed and make satisfied sounds.

[0052] If the emotion value is negative, the baby will start crying, otherwise, the baby will laugh happily or have other interactions according to the actual situation. For example, when the caregiver is feeding and singing nursery rhymes to the baby in a happy mood, the system will analyze that the caregiver's tone is happy and the scene is singing; then the system will determine that it is a positive emotion and feedback the positive emotion to the baby; on the contrary, if the caregiver is angry and scolds the baby, the system will feedback a negative emotion value; after the baby receives the emotion value sent by the system, if the emotion value is positive, the baby will blink twice and make a slight happy sound, and if the baby is angry, the baby will stop feeding and start crying until it bursts into tears.

[0053] 3) Baby privacy care simulation training

[0054] The sensing states of the four contact points of each touch matrix in the wiping care detection module 3 are recorded, and the simulated baby is used as a reference to define the front and back order, and a buffer is opened for each touch matrix to record the touch records. The front and back order of each contact point sensing can be determined according to the defined front and back order, and the cleaning and wiping direction can be analyzed, thereby judging whether the cleaning and wiping is correct.

[0055] In another exemplary embodiment, the simulated baby device further comprises a body temperature measurement and feeding module 5, which is arranged at the mouth of the simulated baby body and is used to measure the body temperature of the simulated baby and simulate feeding the simulated baby.

[0056] The temperature measurement and feeding module 5 is installed at the mouth position of the simulated baby's head, and is connected to the control mainboard 4 through the PCIE interface for communication. When the temperature measurement demand appears, the temperature measurement and feeding module 5 turns on the P2P mode, and the two modules are close to establish communication, and transmit the simulated baby's temperature information to the control mainboard 4. After receiving the information, the control mainboard 4 records it and generates log information.

[0057] In another exemplary embodiment, the simulated baby device further includes a massage touch detection module 6, which is arranged at the navel position of the simulated baby body and is used to detect the hand information of the caregiver during massage. The control main board 4 is also connected to the massage touch detection module 6 to determine whether the massage operation is correct according to the hand information.

[0058] The massage touch detection module 6 is made of flexible printed circuit board (FPC), which is convenient for curved surface installation during installation and better achieves good touch effect. The massage touch detection module 6 is divided into three areas, each area has four regular touch matrices, and the touch matrix is ​​arranged according to a certain rule according to the path of the massage technique.

[0059] The massage touch detection module 6 is connected to the control mainboard 4 through a 5P wiring harness. After receiving the information, the control mainboard 4 can identify the caregiver's massage starting position, direction, number of times and other information, and judge whether it is correct or not based on the specific massage operation method and essentials.

[0060] This application follows the path sequence of the massage technique, starting from the first touch point detection to track whether the caregiver's technique follows the path required by the massage, until the caregiver's hand reaches the end touch point to complete a massage action. The massage position and number are determined according to the specific massage content and relevant standards.

[0061] This application determines the number of correct massages based on the touch points triggered by the caregiver's finger or palm. The number of correct massages is recorded as one plus one when the touch points are triggered in sequence from the starting position to the end position. If the caregiver does not trigger the touch points in the order required during the massage, it is considered an incorrect action or ignored. For example, if the caregiver does not touch the starting touch point or skips a touch point during the touch process, it is considered an incorrect operation.

[0062] In another exemplary embodiment, the simulated baby device further includes a head support detection module 7, which is arranged at the position where the head and body of the simulated baby body are combined, and is used to detect the head support situation. The head support detection module includes two induction electric sheets arranged at the front and back of the neck. When the caregiver does not support the head, the baby's head will lean forward or backward, and the metal rod connecting the head and body of the simulated baby body will contact the induction electric sheets at the front or back of the neck. The program senses whether the baby's head is supported by scanning the level signal states of the two induction electric sheets.

[0063] In another exemplary embodiment, the simulated baby device further includes an NFC reading and writing module 8, which is arranged at the heart and navel of the simulated baby body and is used to detect the dressing status of the simulated baby and the identity information of the caregiver.

[0064] The NFC reading and writing module 8 has two antennas and a main control chip. The main control chip is welded on the control main board 4. The two antennas are respectively installed at the heart and navel of the simulated baby to identify clothes and care card chips. When it is necessary to detect the wearing status and identify the caregiver information in various needs, the program of the control main board 4 will communicate data through the serial port to complete the logic control.

[0065] When the caregiver needs to take care of the simulated baby, he / she needs to use the care card to punch in the simulated baby for identity recognition; the dressing status monitoring is to judge the dressing status of the simulated baby during the care process. The simulated baby will cry if it is not dressed for a long time.

[0066] The simulated infant device for infant care training provided by the present application is based on the body of the simulated infant, and all functional modules are installed in various parts of the body. The control mainboard 4 is installed in the middle of the back, connected to the PCIE interface by a right-angle buckle, and each functional module is connected through the PCIE interface. The control mainboard 4 collects real-time information from the above functional modules in various scenarios and makes a preset response to the information.

[0067] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0068] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0069] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A baby simulation device for baby care training, characterized in that: include: Simulated baby body, mechanical eyes, micro microphone, wiping care detection module and control main board; The mechanical eye is arranged at the eye position of the simulated baby body and is used to collect image information of the caregiver; The miniature microphone is embedded in the ear of the simulated baby body and is used to collect voice information of the caregiver; The wiping and caring detection module is arranged at the crotch position of the simulated baby body and is used to detect the cleaning and wiping direction; The control main board is arranged at the back of the simulated baby body, and is respectively connected to the mechanical eye, the miniature microphone and the wiping care detection module, and is used for simulating the training of the baby's cognitive ability according to the caregiver's image information and the caregiver's voice information, and for simulating the training of the baby's privacy care according to the detected cleaning and wiping direction.

2. The baby simulation device for baby care training according to claim 1, characterized in that: The wiping care detection module includes three touch matrices, which are respectively arranged on the left, middle and right sides of the crotch of the simulated baby body.

3. The baby simulation device for baby care training according to claim 1, characterized in that: The control main board is embedded with a trained Yolov11 model and a regression model. The trained Yolov11 model is used to simulate the visual cognitive ability of infants, and the trained regression model is used to simulate the auditory cognitive ability of infants.

4. The baby simulation device for baby care training according to claim 3, characterized in that: The trained Yolov11 model is used to simulate the visual cognitive ability of infants, including: Based on the caregiver image information, the trained Yolov11 model is used to identify the caregiver's emotions; According to the caregiver's emotions, the emotional value of the simulated infant is adjusted through a state machine to achieve simulated training of the infant's visual cognitive ability.

5. The baby simulation device for baby care training according to claim 3, characterized in that: The trained regression model is used to simulate the auditory cognitive ability of infants, including: Based on the caregiver's voice information, using a trained regression model to identify the caregiver's emotions; Convert the caregiver's voice information into text and determine the care scenario; determining a comprehensive emotion value based on the emotion of the caregiver and the care scenario; According to the comprehensive emotion value, the emotion value of the simulated infant is adjusted through a state machine to achieve simulated training of the infant's auditory cognitive ability.

6. The baby simulation device for baby care training according to claim 1, characterized in that: The simulated baby device also includes a body temperature measurement and feeding module, which is arranged at the mouth of the simulated baby body and is used to measure the body temperature of the simulated baby and simulate feeding the simulated baby.

7. The baby simulation device for baby care training according to claim 1, characterized in that: The simulated baby device further comprises a massage touch detection module, which is arranged at the navel position of the simulated baby body and is used to detect hand information of the caregiver during massage; The control mainboard is also connected to the massage touch detection module to determine whether the massage operation is correct according to the hand information.

8. The baby simulation device for baby care training according to claim 7, characterized in that: The massage touch detection module is made of a flexible circuit board. The massage touch detection module is divided into three areas, and each area is provided with four regular touch matrices.

9. The baby simulation device for baby care training according to claim 1, characterized in that: The simulated baby device further comprises a head support detection module, which is arranged at the position where the head and body of the simulated baby body are combined, and is used to detect the head support situation.

10. The baby simulation device for baby care training according to claim 1, characterized in that: The simulated baby device also includes an NFC reading and writing module, which is arranged at the heart position and the navel position of the simulated baby body and is used to detect the dressing state of the simulated baby and the identity information of the caregiver.

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