Voice prompt method and system based on breast feeding teaching aid, terminal and medium

Abstract

The invention discloses a voice prompt method and system based on a breast feeding teaching aid, a terminal and a medium, and the method comprises the steps: obtaining first intensity data of a first sensor, second intensity data of a second sensor and third intensity data of a third sensor at a preset moment; acquiring first voice information in a first database, second voice information in a second database and third voice information in a third database according to the intensity data; and processing to generate prompt voice, and playing the prompt voice through the voice module. According to the method, the first intensity data, the second intensity data and the third intensity data at the preset moment are acquired, then the first voice information, the second voice information and the third voice information in the corresponding database are acquired and processed to form the prompt voice, and the prompt voice comprises the positioning conditions of different parts in the baby model; accurate feedback is given to the pregnant woman in a simulated voice mode, the effect of guiding breast feeding details is achieved, and the learning effect is improved.

Description

Technical Field

[0001] This invention relates to the field of intelligent teaching aids for breastfeeding, and in particular to a voice prompt method, system, terminal, and medium based on breastfeeding teaching aids. Background Technology

[0002] Breastfeeding refers to the feeding of an infant with the mother's breast milk. It is of great significance in promoting infant growth and development, reducing the risk of illness for both mother and infant, and improving their overall health. In clinical practice, due to insufficient health education, the mother's lack of involvement in breastfeeding, or failure to adopt the correct breastfeeding posture (i.e., the infant's head and body are in a straight line, with chest-to-chest, abdomen-to-abdomen, and chin-to-breast position, and the lips covering the entire nipple and most of the areola during suckling), the infant may not latch on correctly or be fed on demand. This can lead to problems such as nipple fissures, milk stasis, pain, maternal fever, infant crying, difficulty latching, and maternal anxiety, resulting in a loss of confidence in breastfeeding and ultimately abandonment of the practice. Furthermore, in families where breastfeeding is a first-time experience, the husband and other family members often lack proper education on breastfeeding guidelines, provide insufficient support to the mother, or even worry about insufficient infant feeding, leading to the premature introduction of formula without proper indication. This further exacerbates breastfeeding difficulties and often becomes a significant cause of postpartum family conflicts.

[0003] According to the "Survey Report on Factors Affecting Breastfeeding" released by the Development Research Foundation in February 2019, the success rate of exclusive breastfeeding for 6 months in my country is only 29%. Therefore, in 2021, the State Council of my country issued the "Notice on Issuing the Action Plan for Promoting Breastfeeding (2021-2025)," which listed strengthening health education on breastfeeding as the top priority of my country's main tasks in promoting successful breastfeeding.

[0004] In existing technologies, feedback from breastfeeding teaching aids mainly relies on indicator lights connected to sensors. In actual use, the information transmission based on changes in indicator lights is relatively limited, making it difficult to provide detailed guidance on latching posture. This limits the content that traditional teaching aids can provide for teaching breastfeeding to pregnant women.

[0005] Therefore, existing technologies still need to be improved and developed. Summary of the Invention

[0006] To address the problem that existing breastfeeding teaching aids mainly rely on sensor-connected indicator lights or simple statements to distinguish right from wrong, resulting in limited information transmission and difficulty in guiding the details of breastfeeding latch, thus limiting the content of traditional teaching aids for teaching breastfeeding to pregnant women, this invention provides a voice prompt method, system, terminal, and medium based on breastfeeding teaching aids.

[0007] This invention is achieved through the following technical solution: A voice prompt method based on breastfeeding teaching aids, wherein the breastfeeding teaching aids include: The garment has a nipple implant positioned on the chest area, with a first sensor inside the nipple implant; a second sensor is positioned on one side of the nipple implant; and a third sensor is positioned on the garment corresponding to the abdomen area. The baby model has a first sensor positioned at the mouth, a second sensor positioned at the chin, and a third sensor positioned at the abdomen. The first, second, and third sensors are respectively connected to a voice module located on the back of the baby model. Voice prompt methods include: Acquire the first intensity data of the first sensor, the second intensity data of the second sensor, and the third intensity data of the third sensor at a predetermined time. First speech information is obtained from the first database based on the first intensity data, second speech information is obtained from the second database based on the second intensity data, and third speech information is obtained from the third database based on the third intensity data. The first voice information, the second voice information, and the third voice information are processed to generate a prompt voice, which is then played through the voice module.

[0008] The aforementioned voice prompt method based on breastfeeding teaching aids further includes, before acquiring the first intensity data of the first sensor, the second intensity data of the second sensor, and the third intensity data of the third sensor at a predetermined time: A predetermined duration is set, and the sensing intensity data of the first sensor, the second sensor, and the third sensor are detected within the predetermined duration; the predetermined time is the final time of the predetermined duration.

[0009] The aforementioned voice prompt method based on breastfeeding teaching aids further includes: Preset the optimal sensing intensity range and fourth voice information; When the sensing intensity data of the first sensor, the second sensor, and the third sensor are all within the optimal sensing intensity range, the fourth voice information is used as the prompt voice.

[0010] The aforementioned voice prompt method based on breastfeeding teaching aids, wherein the voice module includes a microphone; When the voice module receives a predetermined instruction from the microphone, it restarts the detection of the sensing intensity data of the first sensor, the second sensor, and the third sensor within the predetermined duration.

[0011] The aforementioned voice prompt method based on breastfeeding teaching aids includes, in part, obtaining first voice information from a first database based on the first intensity data, obtaining second voice information from a second database based on the second intensity data, and obtaining third voice information from a third database based on the third intensity data. Several voice information corresponding to different sensing intensity ranges are preset in the first database, the second database, and the third database; The first intensity data is compared with several different sensing intensity ranges in the first database to obtain the first voice information; The second intensity data is compared with several different sensing intensity ranges in the second database to obtain the second voice information; The third intensity data is compared with several different sensing intensity ranges in the third database to obtain the third voice information.

[0012] The aforementioned voice prompt method based on breastfeeding teaching aids, wherein processing the first voice information, the second voice information, and the third voice information to generate prompt voice includes: The first voice information, the second voice information, and the third voice information are input into the GP4-language model; The semantics of the first voice information, the second voice information, and the third voice information are integrated to generate a prompt voice.

[0013] The aforementioned voice prompt method based on breastfeeding teaching aids, wherein processing the first voice information, the second voice information, and the third voice information to generate a prompt voice, and playing the prompt voice through the voice module further includes: A zeroth database is preset, which includes several sentence-initial speech information; A fourth database is preset, which includes several sentence-end speech information; A sentence-beginning voice message is randomly selected and added before the prompt voice message, and a sentence-ending voice message is randomly selected and added after the prompt voice message, and then the prompt voice message is played through the voice module.

[0014] A voice prompt system based on a breastfeeding latching posture training manipulative, wherein the voice prompt system based on the breastfeeding latching posture training manipulative includes: The data acquisition module acquires the first intensity data from the first sensor, the second intensity data from the second sensor, and the third intensity data from the third sensor at a predetermined time. First speech information is obtained from the first database based on the first intensity data, second speech information is obtained from the second database based on the second intensity data, and third speech information is obtained from the third database based on the third intensity data. The data processing module is used to process the first voice information, the second voice information and the third voice information, generate a prompt voice, and play the prompt voice through the voice module.

[0015] A terminal, comprising a memory, a processor, and a program stored in the memory and executable on the processor, wherein the program, when executed by the processor, implements the voice prompt method based on the breastfeeding teaching aid described above.

[0016] A computer-readable storage medium storing a computer program thereon, the computer-readable storage medium storing a voice prompt program based on a breastfeeding teaching aid, the voice prompt program based on a breastfeeding latching posture training teaching aid being executed by a processor as described above in the voice prompt method based on a breastfeeding teaching aid.

[0017] The beneficial effects of the present invention are as follows: The present invention obtains first intensity data, second intensity data and third intensity data at a predetermined time, and then obtains first speech information, second speech information and third speech information in the corresponding database, and processes them to form prompt speech. The prompt speech contains the positioning detection status of different parts in the infant model, and provides accurate feedback to pregnant women in a realistic speech manner, so as to achieve the effect of guiding the details of breastfeeding latching posture and improve the learning effect. Attached Figure Description

[0018] Figure 1 This is a flowchart of the voice prompt method based on breastfeeding teaching aids according to the present invention; Figure 2 This is a schematic diagram of the structure of the breastfeeding teaching aid in the voice prompt method based on the breastfeeding teaching aid of the present invention; Figure 3 This is a schematic diagram of a preferred embodiment of the voice prompt system based on breastfeeding teaching aids in this invention. Figure 4 This is a schematic diagram of the operating environment of a preferred embodiment of the terminal of the present invention.

[0019] exist Figures 1 to 4 In the middle: 100, clothing body; 110, first sensor; 120, second sensor; 130, third sensor; 200, baby model; 210, first sensor; 220, second sensor; 230, third sensor. Detailed Implementation

[0020] To make the objectives, technical solutions, and effects of this invention clearer and more explicit, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0021] It should be noted that if the embodiments of the present invention involve directional indicators (such as up, down, left, right, front, back, etc.), the directional indicators are only used to explain the relative positional relationship and movement of the components in a certain specific posture (as shown in the figure). If the specific posture changes, the directional indicators will also change accordingly.

[0022] Furthermore, if the embodiments of this invention involve descriptions such as "first" or "second," these descriptions are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, features defined with "first" or "second" may explicitly or implicitly include at least one feature. Additionally, the technical solutions of the various embodiments can be combined with each other, but this must be based on the ability of those skilled in the art to implement them. If the combination of technical solutions is contradictory or impossible to implement, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection claimed by this invention.

[0023] In existing technologies, feedback from breastfeeding teaching aids mainly relies on indicator lights connected to sensors. In actual use, the information transmission based on changes in indicator lights is relatively limited, making it difficult to provide detailed guidance on latching posture. This limits the content that traditional teaching aids can provide for teaching breastfeeding to pregnant women.

[0024] To address the aforementioned problems in the existing technology, this invention provides a voice prompt method based on breastfeeding educational toys, such as... Figure 1 As shown, the voice prompt method based on breastfeeding teaching aids includes: S100: Obtain the first intensity data of the first sensor, the second intensity data of the second sensor, and the third intensity data of the third sensor at a predetermined time. S200: Obtain first speech information from the first database based on the first intensity data, obtain second speech information from the second database based on the second intensity data, and obtain third speech information from the third database based on the third intensity data; S300: Process the first voice information, the second voice information, and the third voice information to generate a prompt voice, and play the prompt voice through the voice module.

[0025] In this embodiment, the above-mentioned voice prompt method is implemented based on breastfeeding teaching aids, such as... Figure 2As shown, the breastfeeding teaching aid includes: a garment 10, on which a nipple prosthesis is provided at the position corresponding to the chest, and a first sensor 11 is provided in the nipple prosthesis; a second sensor 12 is provided on one side of the nipple prosthesis; a third sensor 13 is provided on the garment at the position corresponding to the abdomen; an infant model 20, on which a first sensor 21 is provided at the position corresponding to the mouth, a second sensor 22 is provided at the position corresponding to the chin, and a third sensor 23 is provided at the position corresponding to the abdomen, and the first sensor 21, the second sensor 22 and the third sensor 23 are respectively connected to a voice module located on the back of the infant model 200.

[0026] In actual use, the pregnant woman imitates the standard breastfeeding latching posture, holding the infant model 20 with its mouth positioned over the nipple prosthesis, its chin aligned with the breast, and its abdomen aligned with her own. When the holding posture of the infant model 200 is correct, the first sensor 110 triggers the first sensor 21, the second sensor 12 triggers the second sensor 22, and the third sensor 13 triggers the third sensor 23, thereby activating the voice module. The activated voice module changes state and can be used to provide feedback to the pregnant woman. This feedback helps the pregnant woman identify the standard breastfeeding latching posture, thus facilitating independent posture training.

[0027] In this embodiment, the first sensor 21, the second sensor 22, and the third sensor 23 are specifically Hall elements, and the first sensing element 11, the second sensing element 12, and the third sensing element 13 are specifically structural components containing magnetic materials. When the first sensor 21 corresponds to the first sensing element 11, the second sensor 22 corresponds to the second sensing element 12, and the third sensor 23 corresponds to the third sensing element 13, the accuracy of the correspondence can be detected by detecting the magnetic flux, thereby enabling the determination of the correspondence state between the garment 10 and the infant model 20. In this way, since there may be partial correspondence in actual operation, the sensors may acquire magnetic flux, but the actual correspondence may not be accurate. In this case, the strength of the magnetic flux can be used to determine whether the correspondence is complete. Combined with the voice module containing the above-mentioned voice prompt method, the effect of prompting pregnant women can be achieved.

[0028] Specifically, in this embodiment, after the pregnant woman turns on and uses the breastfeeding teaching aid, the first intensity data of the first sensor is acquired at a predetermined time. At the same time, the second intensity data of the second sensor and the third intensity data of the third sensor are acquired simultaneously. The acquisition of this series of data is to comprehensively and accurately reflect the actual state of the infant model and the clothing at various key corresponding parts.

[0029] Based on the acquired first intensity data, the corresponding first voice information is accurately matched from the pre-set first database. This voice information is specifically designed to provide feedback on the correspondence between the infant model's mouth and the nipple prosthesis. Similarly, based on the second intensity data, the second voice information is extracted from the second database. This information is used to provide feedback on the correspondence between the infant model's jaw and the breast. Then, based on the third intensity data, the third voice information is obtained from the third database to provide feedback on the correspondence between the infant model's abdomen and the pregnant woman's own abdomen.

[0030] Subsequently, the first, second, and third voice information are integrated and processed to generate prompt voice, which is then played out through the voice module. The prompt voice includes the correspondence between the infant model's mouth and the nipple prosthesis, the chin and the breast prosthesis, and the abdomen and the pregnant woman's abdomen, allowing the pregnant woman to understand in a timely and accurate manner whether her current breastfeeding latch is standard, so as to make targeted adjustments and training.

[0031] Furthermore, before acquiring the first intensity data of the first sensor, the second intensity data of the second sensor, and the third intensity data of the third sensor at a predetermined time, the method further includes: S10. Set a predetermined duration and detect the sensing intensity data of the first sensor, the second sensor, and the third sensor within the predetermined duration; the predetermined time is the final moment of the predetermined duration.

[0032] In this embodiment, the purpose of setting a predetermined duration is to give the pregnant woman sufficient time to adjust, so that she can adjust the baby model to the position she considers correct. Within the predetermined duration, the sensing intensity data of the first, second, and third sensors are continuously detected. This allows for the comprehensive capture of various state changes of the pregnant woman during the adjustment process and prepares for the acquisition of the final first, second, and third intensity data.

[0033] In this embodiment, the predetermined time is set to the final moment of the predetermined duration. This is to ensure that the acquired data reflects the pregnant woman's adjusted and deemed most standard posture, thereby improving the accuracy and effectiveness of subsequent voice prompts. In this way, the pregnant woman's breastfeeding latch can be assessed more accurately, and corresponding voice guidance can be provided to help her better master correct feeding techniques.

[0034] Based on the above embodiments, in one possible implementation of the present invention, the above voice prompt method further includes: S11, preset the optimal sensing intensity range and fourth voice information; S12. When the sensing intensity data of the first sensor, the second sensor and the third sensor are simultaneously within the optimal sensing intensity range, the fourth voice information is used as a prompt voice.

[0035] In this embodiment, since the intensity of the magnetic flux reflects the positional correspondence between the sensing element and the sensor, the actual intensity of the detected magnetic flux can be used as a basis for the pregnant woman to adjust the position of the infant model. Therefore, in this embodiment, the magnetic flux data can be divided into multiple ranges, and the detected magnetic flux intensity can be matched with a preset range to extract the corresponding voice information for subsequent playback. Based on this method, this embodiment also presets an optimal sensing intensity range and a fourth voice message. When the sensing intensity data detected by the three sensors simultaneously are all within this optimal sensing intensity range, it indicates that the pregnant woman's breastfeeding latch is very standard and has reached the ideal state. At this time, the preset fourth voice message is played as a prompt. This fourth voice message can be an affirmation and encouragement of the pregnant woman's correct posture, such as "Your posture is very standard, keep it up!" This positive feedback not only allows the pregnant woman to know that her posture is correct in a timely manner, but also enhances her learning enthusiasm and self-confidence, further improving the learning effect and training quality.

[0036] It should be noted that in this embodiment, the trigger condition for the broadcast of the fourth voice is that the sensing intensity data of the first sensor, the second sensor, and the third sensor are simultaneously within the optimal sensing intensity range, and it is triggered immediately. It is not subject to the above-mentioned predetermined duration and predetermined time. Its purpose is to promptly affirm and encourage the pregnant woman's completely standard posture, and strengthen the pregnant woman's memory and cognition of the correct posture.

[0037] In another embodiment of the present invention, the voice module further includes a microphone for collecting sound to determine a predetermined command. The predetermined command may be a phrase such as "start." When the voice module receives the predetermined command collected by the microphone, it restarts the detection of the sensor intensity data of the first, second, and third sensors within the predetermined duration, allowing the pregnant woman to restart the detection process when needed and perform posture adjustment and training again. Specifically, when the pregnant woman says a predetermined command such as "start," the microphone captures this sound signal and transmits it to the voice module. Upon receiving the predetermined command, the voice module immediately resets the detection process and restarts the detection of the sensor intensity data of the first, second, and third sensors within the predetermined duration. This allows the pregnant woman to flexibly control the start time of the detection according to her own needs and pace, thereby enabling her to train the breastfeeding latch position more autonomously.

[0038] In another possible embodiment of the present invention, the above-mentioned method of obtaining first speech information from a first database based on the first intensity data, obtaining second speech information from a second database based on the second intensity data, and obtaining third speech information from a third database based on the third intensity data includes: S210. Pre-set several voice information corresponding to different sensing intensity ranges in the first database, the second database and the third database; S220. Compare the first intensity data with several different sensing intensity ranges in the first database to obtain the first voice information; S230. Compare the second intensity data with several different sensing intensity ranges in the second database to obtain the second voice information; The third intensity data is compared with several different sensing intensity ranges in the third database to obtain the third voice information.

[0039] In this embodiment, multiple sets of first voice information are actually set in the first database, corresponding to multiple preset different sensing intensity ranges. Different sets of first voice information contain different meanings. Similarly, multiple sets of second voice information are set in the second database and multiple sets of third voice information are set in the third database, corresponding to multiple preset different sensing intensity ranges. After obtaining the first intensity data, it is compared in detail with several preset different sensing intensity ranges in the first database. If the first intensity data falls within a certain range, the corresponding first voice information is extracted. This first voice information can accurately reflect the specific situation of the correspondence between the infant model's mouth and the nipple prosthesis, such as whether it is a slight deviation, a large deviation, or an accurate correspondence. Similarly, for the second intensity data, the comparison operation is performed in the second database in the same way to obtain the second voice information, which can clearly indicate the correspondence between the infant model's jaw and the breast prosthesis. For the third intensity data, the third voice information is obtained after comparison in the third database, thereby providing feedback on the degree of correspondence between the infant model's abdomen and the pregnant woman's own abdomen. By comparing and obtaining voice information from three databases, this method can provide comprehensive and detailed feedback on the status of key parts of a pregnant woman's breastfeeding latch, offering detailed and targeted guidance for adjusting the position. This helps pregnant women better master the correct breastfeeding latch and improve the quality and effectiveness of breastfeeding.

[0040] Furthermore, the above-mentioned processing of the first voice information, the second voice information, and the third voice information to generate the prompt voice includes: S310. Input the first speech information, the second speech information and the third speech information into the GP4-language model; S320. Integrate the semantics of the first voice information, the second voice information and the third voice information to generate a prompt voice.

[0041] In this embodiment, the GP4-language model is used to process the first, second, and third speech information. The GP4-language model possesses powerful natural language processing capabilities, enabling it to deeply understand the semantic content contained in each speech information. After inputting these three types of speech information into the model, it performs detailed analysis, accurately grasping the specific information conveyed by each speech information regarding the corresponding states of the infant model and various parts of the pregnant woman's body. Subsequently, the model integrates these semantics, merging the speech information corresponding to the mouth, jaw, and abdomen into a complete, coherent, and logically clear prompt. This generated prompt comprehensively and accurately informs the pregnant woman of the specific situation of her current breastfeeding latch position at various key points, clearly presenting both inaccurate and accurate aspects. This allows the pregnant woman to quickly and specifically adjust and improve her posture based on the prompt, effectively improving the accuracy and standardization of the breastfeeding latch position and providing strong support for the smooth progress of breastfeeding.

[0042] For example, when the first voice message is accurate, the second is slightly off, and the third is not, the integrated message forms: "The baby is latched on correctly, but the neck and body are a little twisted and uncomfortable." This prompt is concise, clear, and vivid, allowing the pregnant woman to quickly understand the problem with her posture. As another example, if the first voice message shows a large deviation, the second is accurate, and the third is slightly off, the integrated prompt could be: "The baby's chin is firmly against the mother's breast, but the abdomen is not close to the mother; the baby is not latching on correctly." Through this specific prompt generated by integrating different voice messages, the pregnant woman can intuitively and clearly understand the status of her posture in key areas, allowing for more targeted adjustments. For example, "Please observe the baby's latch. Please latch on when the baby's mouth is wide open, ensuring the baby's mouth covers the entire nipple and most of the areola, ideally in the center, to avoid uneven tilting that could cause nipple cracking." This helps the pregnant woman gradually master the correct breastfeeding latch, improving the effectiveness and quality of breastfeeding and making the entire feeding process smoother and more comfortable.

[0043] Based on the above embodiments, the above processing of the first voice information, the second voice information, and the third voice information to generate a prompt voice, and playing the prompt voice through the voice module, further includes: S331. A zeroth database is preset, which includes several sentence-initial speech information; S332. A fourth database is preset, which includes several sentence-end speech information; S333. Randomly select one of the sentence-beginning voice information and add it before the prompt voice; randomly select one of the sentence-ending voice information and add it after the prompt voice; then play the prompt voice through the voice module.

[0044] In this embodiment, the purpose of pre-setting the zeroth and fourth databases is to enrich the expression of the prompt voices, making the voice prompts more natural, vivid, and approachable. The zeroth database stores several sentence-initial voice messages, such as guiding phrases like "Please pay attention!" or "A friendly reminder!" These phrases can attract the pregnant woman's attention, allowing her to focus more intently on receiving subsequent prompts. The fourth database contains several sentence-final voice messages, such as encouraging or blessing phrases like "Keep it up!", "Keep trying!", "Go for it!", or "You are a learning mother who has already learned the correct breastfeeding posture. Continue breastfeeding until your baby is 2 years old or older, starting now for your baby's healthy life." These phrases can provide positive emotional support to the pregnant woman after receiving posture feedback, enhancing her confidence and motivation to adjust her posture.

[0045] In actual operation, after generating prompts for key parts of the breastfeeding latch, the system randomly selects a sentence-beginning voice message from the zeroth database and adds it before the prompt, while randomly selecting a sentence-ending voice message from the fourth database and adding it after the prompt. For example, if the generated prompt is "Baby latched on, but the chin and body are a little uncomfortable," and the randomly selected sentence-beginning voice message is "A friendly reminder," and the sentence-ending voice message is "Keep trying," then the complete prompt played by the voice module will be "A friendly reminder, the baby is latched on correctly, but the neck and body are a little twisted and uncomfortable, keep trying." It then provides voice suggestions: "When holding the baby, please keep the baby's head, neck, and chest in a straight line to avoid twisting, and close to the mother's body to help the baby breathe freely and latch on correctly," and "At the same time, please check the baby's swaddle. Choose a thin blanket to wrap the baby, or do not wrap the baby at all, and have the baby lie face-to-face with you, using the baby's abdomen close to you." This method not only makes the prompts more complete and richer, but also makes the entire process more human-centered by adding voice information at the beginning and end of sentences, as if a caring guide is providing meticulous care and guidance to the pregnant woman. This helps alleviate the pregnant woman's tension during training, allowing her to accept posture adjustments and training with a more relaxed and pleasant attitude, further improving training effectiveness and helping her better master the correct breastfeeding latch, laying a good foundation for the baby's healthy growth.

[0046] In one possible implementation, the sentence-initial voice information in the aforementioned zero database can be played through the voice module when the breastfeeding teaching aid is first used. By pre-setting the sentence-initial voice information in the zero database, support for family scenarios can also be achieved. For example, by using voices that enhance happiness, different scenarios of companions participating in the simulation can be written according to the characteristics of different pregnant women's families in clinical practice, including: spouse, mother, friend, and childcare worker, and the voice content of the participating actions and prompts can be set. Specifically, for example, when the spouse is involved, the initial voice message in the zero database can be set to the following scenario voice message: "Dad, please pick up the cushion to help Mom adopt a comfortable position and prevent back pain during feeding. Your care can help Mom feed for longer and the baby will be healthier," or "During breastfeeding, the sweet milk contains a lot of water and calories. Please give Mom the first glass of warm water so that she can replenish the lost water and feel Dad's support and love." Or, when used by the mother, the initial voice message in the zero database can be set to: "Mom, please open your shirt, use your right upper arm to support the baby's body, place the baby's head on your right elbow, support the baby's buttocks with your right hand, and hold the baby in your warm arms."

[0047] In some implementation methods, mode buttons can be preset so that the initial voice information in the zero database corresponds to the mode, thereby providing prompts for the user's operation. For example, when breastfeeding in a sitting position, the initial voice information in the zero database can be preset as: "Please choose a comfortable chair, place a backrest, prepare the footrest to relax your lower limbs, and place the baby's chin, chest, and abdomen against your breast, chest, and abdomen respectively. Relax your shoulders and avoid abducting your elbows."

[0048] For example, when the baby is in a side-lying position, the zero database can preset the following voice message at the beginning of the sentence: "Please lie on your side on the bed or sofa, choose a suitable pillow, and place a cushion between your back and legs to keep your whole body relaxed. Please place the baby's chin, chest, and abdomen against your breast, chest, and abdomen respectively. Relax your shoulders and extend your upper arms naturally."

[0049] For example, when in a semi-reclining position, the zero database can preset the following voice prompts at the beginning of sentences: "Please lie on your side on the bed with your head raised at a 45-60 degree angle. Use a suitable pillow and place a cushion under your feet. Please open your front of your clothes, use your right upper arm to support the baby's body, place the baby's head on your right elbow, support the baby's buttocks with your right hand, and hold the baby in your warm arms."

[0050] In the above embodiments, to make the infant model in the breastfeeding teaching aid more realistic, its neck and other joints can be formed into movable joints using 3D-printed nylon links. A detection structure is formed by incorporating a micro-film pressure switch, which is connected to the voice module. When the model is activated, the micro-film pressure switch detects the joint position to determine the infant model's actual state. During breastfeeding practice, the infant's head and body should be in a straight line, with the baby's chest, abdomen, and chin touching the breast. When suckling, the baby's lips should cover the entire nipple and most of the areola. Therefore, after detecting the model's posture, a pre-set prompt voice can be used in the aforementioned zero database. For example, when the infant model's neck is bent, the zero database can retrieve the following voice information: "When you hold the baby, keep the baby's head, neck, and body on the same plane to avoid twisting and discomfort," or "When you hold the baby, keep the baby's head, neck, and chest in a straight line to avoid twisting and ensure the baby's breathing is unobstructed," etc., to correct the user's posture while holding the infant model.

[0051] Furthermore, such as Figure 3 As shown, based on the above-mentioned voice prompt method based on breastfeeding teaching aids, the present invention also provides a voice prompt system based on breastfeeding latching posture training teaching aids. This voice prompt system based on breastfeeding latching posture training teaching aids includes: The data acquisition module 31 acquires the first intensity data of the first sensor, the second intensity data of the second sensor, and the third intensity data of the third sensor at a predetermined time. First speech information is obtained from the first database based on the first intensity data, second speech information is obtained from the second database based on the second intensity data, and third speech information is obtained from the third database based on the third intensity data. Data processing module 32 is used to process the first voice information, the second voice information and the third voice information, generate a prompt voice, and play the prompt voice through the voice module.

[0052] Furthermore, such as Figure 4 As shown, based on the above-mentioned voice prompt method based on breastfeeding teaching aids, the present invention also provides a terminal, which includes a processor 40, a memory 60 and a display 70. Figure 4Only some of the terminal components are shown; however, it should be understood that it is not required to implement all of the components shown, and more or fewer components may be implemented instead.

[0053] In some embodiments, the memory 60 may be an internal storage unit of the terminal, such as a hard disk or memory. In other embodiments, the memory 60 may be an external storage device of the terminal, such as a plug-in hard disk, smart media card (SMC), secure digital card (SD), flash card, etc., equipped on the terminal. Further, the memory 60 may include both internal and external storage devices. The memory 60 is used to store application software and various types of data installed on the terminal, such as the program code installed on the terminal. The memory 60 can also be used to temporarily store data that has been output or will be output. In one embodiment, the memory 60 stores a voice prompt program 50 based on a breastfeeding teaching aid, which can be executed by the processor 40 to implement the voice prompt method based on a breastfeeding teaching aid in this application.

[0054] In some embodiments, the processor 40 may be a central processing unit (CPU), a microprocessor, or other data processing chip, used to run program code stored in the memory 60 or process data, such as executing the voice prompt method based on the breastfeeding teaching aid.

[0055] In some embodiments, the display 70 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen. The display 70 is used to display information on the terminal and to display a visual user interface. The components of the terminal communicate with each other via a system bus.

[0056] In one embodiment, when the processor 40 executes the voice prompt program based on the breastfeeding teaching aid in the memory 60, the following steps are performed: Acquire the first intensity data of the first sensor, the second intensity data of the second sensor, and the third intensity data of the third sensor at a predetermined time. First speech information is obtained from the first database based on the first intensity data, second speech information is obtained from the second database based on the second intensity data, and third speech information is obtained from the third database based on the third intensity data. The first voice information, the second voice information, and the third voice information are processed to generate a prompt voice, which is then played through the voice module.

[0057] The step of acquiring the first intensity data of the first sensor, the second intensity data of the second sensor, and the third intensity data of the third sensor at a predetermined time further includes: A predetermined duration is set, and the sensing intensity data of the first sensor, the second sensor, and the third sensor are detected within the predetermined duration; the predetermined time is the final time of the predetermined duration.

[0058] The voice prompt method further includes: Preset the optimal sensing intensity range and fourth voice information; When the sensing intensity data of the first sensor, the second sensor, and the third sensor are all within the optimal sensing intensity range, the fourth voice information is used as the prompt voice.

[0059] The voice module includes a microphone; When the voice module receives a predetermined instruction from the microphone, it restarts the detection of the sensing intensity data of the first sensor, the second sensor, and the third sensor within the predetermined duration.

[0060] The steps of obtaining first speech information from a first database based on the first intensity data, obtaining second speech information from a second database based on the second intensity data, and obtaining third speech information from a third database based on the third intensity data include: Several voice information corresponding to different sensing intensity ranges are preset in the first database, the second database, and the third database; The first intensity data is compared with several different sensing intensity ranges in the first database to obtain the first voice information; The second intensity data is compared with several different sensing intensity ranges in the second database to obtain the second voice information; The third intensity data is compared with several different sensing intensity ranges in the third database to obtain the third voice information.

[0061] The process of processing the first voice information, the second voice information, and the third voice information to generate a prompt voice includes: The first voice information, the second voice information, and the third voice information are input into the GP4-language model; The semantics of the first voice information, the second voice information, and the third voice information are integrated to generate a prompt voice.

[0062] The step of processing the first voice information, the second voice information, and the third voice information to generate a prompt voice, and playing the prompt voice through the voice module, further includes: A zeroth database is preset, which includes several sentence-initial speech information; A fourth database is preset, which includes several sentence-end speech information; A sentence-beginning voice message is randomly selected and added before the prompt voice message, and a sentence-end voice message is randomly selected and added after the prompt voice message. The prompt voice message is then played through the voice module.

[0063] The present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a voice prompt program based on a breastfeeding teaching aid, and the voice prompt program based on the breastfeeding teaching aid, when executed by a processor, implements the steps of the voice prompt method based on the breastfeeding teaching aid as described above.

[0064] Of course, those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware (such as a processor, controller, etc.). The program can be stored in a computer-readable storage medium, and when executed, it can include the processes described in the above method embodiments. The computer-readable storage medium can be a memory, magnetic disk, optical disk, etc.

[0065] It should be understood that the application of the present invention is not limited to the examples above. Those skilled in the art can make improvements or modifications based on the above description, and all such improvements and modifications should fall within the protection scope of the appended claims.

Claims

1. A voice prompt method based on breastfeeding teaching aids, characterized in that, Breastfeeding education materials include: The garment has a nipple implant positioned on the chest area, with a first sensor inside the nipple implant; a second sensor is positioned on one side of the nipple implant; and a third sensor is positioned on the garment corresponding to the abdomen area. The baby model has a first sensor positioned at the mouth, a second sensor positioned at the chin, and a third sensor positioned at the abdomen. The first, second, and third sensors are respectively connected to a voice module located on the back of the baby model. Voice prompt methods include: Acquire the first intensity data of the first sensor, the second intensity data of the second sensor, and the third intensity data of the third sensor at a predetermined time. First speech information is obtained from the first database based on the first intensity data, second speech information is obtained from the second database based on the second intensity data, and third speech information is obtained from the third database based on the third intensity data. The first voice information, the second voice information, and the third voice information are processed to generate a prompt voice, which is then played through the voice module.

2. The voice prompt method based on breastfeeding teaching aids according to claim 1, characterized in that, Before acquiring the first intensity data of the first sensor, the second intensity data of the second sensor, and the third intensity data of the third sensor at a predetermined time, the method further includes: A predetermined duration is set, and the sensing intensity data of the first sensor, the second sensor, and the third sensor are detected within the predetermined duration; the predetermined time is the final time of the predetermined duration.

3. The voice prompt method based on breastfeeding teaching aids according to claim 2, characterized in that, The voice prompt method further includes: Preset the optimal sensing intensity range and fourth voice information; When the sensing intensity data of the first sensor, the second sensor, and the third sensor are all within the optimal sensing intensity range, the fourth voice information is used as the prompt voice.

4. The voice prompt method based on breastfeeding teaching aids according to claim 2, characterized in that, The voice module includes a microphone; When the voice module receives a predetermined instruction from the microphone, it restarts the detection of the sensing intensity data of the first sensor, the second sensor, and the third sensor within the predetermined duration.

5. The voice prompt method based on breastfeeding teaching aids according to claim 1, characterized in that, Obtaining first speech information from a first database based on the first intensity data, obtaining second speech information from a second database based on the second intensity data, and obtaining third speech information from a third database based on the third intensity data includes: Several voice information corresponding to different sensing intensity ranges are preset in the first database, the second database, and the third database; The first intensity data is compared with several different sensing intensity ranges in the first database to obtain the first voice information; The second intensity data is compared with several different sensing intensity ranges in the second database to obtain the second voice information; The third intensity data is compared with several different sensing intensity ranges in the third database to obtain the third voice information.

6. The voice prompt method based on breastfeeding teaching aids according to claim 1, characterized in that, Processing the first voice information, the second voice information, and the third voice information to generate a prompt voice includes: The first voice information, the second voice information, and the third voice information are input into the GP4-language model; The semantics of the first voice information, the second voice information, and the third voice information are integrated to generate a prompt voice.

7. The voice prompt method based on breastfeeding teaching aids according to claim 6, characterized in that, Processing the first voice information, the second voice information, and the third voice information to generate a prompt voice, and playing the prompt voice through the voice module further includes: A zeroth database is preset, which includes several sentence-initial speech information; A fourth database is preset, which includes several sentence-end speech information; A sentence-beginning voice message is randomly selected and added before the prompt voice message, and a sentence-ending voice message is randomly selected and added after the prompt voice message, and then the prompt voice message is played through the voice module.

8. A voice prompt system based on a breastfeeding latch training teaching aid, characterized in that, The voice prompt system based on breastfeeding latch training aids includes: The data acquisition module acquires the first intensity data from the first sensor, the second intensity data from the second sensor, and the third intensity data from the third sensor at a predetermined time. First speech information is obtained from the first database based on the first intensity data, second speech information is obtained from the second database based on the second intensity data, and third speech information is obtained from the third database based on the third intensity data. The data processing module is used to process the first voice information, the second voice information and the third voice information, generate a prompt voice, and play the prompt voice through the voice module.

9. A terminal, characterized in that, The terminal includes a memory, a processor, and a program stored in the memory and executable on the processor. When the program is executed by the processor, it implements the voice prompt method based on breastfeeding teaching aids as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The device stores a computer program, and the computer-readable storage medium stores a voice prompt program based on a breastfeeding teaching aid. The voice prompt program based on the breastfeeding latching posture training teaching aid is executed by a processor as described in any one of claims 1-7.

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