Old-age nursing intelligent service terminal based on large language model

Abstract

The invention relates to the technical field of artificial intelligence and old-age care service, in particular to an old-age care intelligent service terminal based on a large language model, which comprises a large language model interaction module, a traditional opera playing module, a posture recognition module, a blood oxygen detection module, a snore detection module and a screen display module, the data processing and storage unit is electrically connected with the large language model interaction module, the traditional opera playing module, the posture recognition module, the blood oxygen detection module, the snore detection module and the screen display module. And the method has remarkable social value and economic benefit.

Description

Technical Field

[0001] The present invention relates to the technical fields of artificial intelligence and elderly care services. Specifically, it relates to an intelligent elderly care service terminal based on a large language model. Background Art

[0002] With the progress of society and the deepening of the aging population, how to provide comprehensive, high-quality, and intelligent elderly care services has become an important issue that society urgently needs to solve. In the current elderly care environment, the elderly have urgent needs in aspects such as life companionship, spiritual and cultural entertainment, and health management.

[0003] In terms of life companionship, most existing elderly care devices lack natural and fluent interaction functions. Traditional devices can only achieve simple voice announcements or command responses, and cannot understand the rich and diverse expressions of the elderly like human-to-human communication, thus failing to meet their needs for daily communication, information acquisition, etc. For example, when an elderly person wants to share trivial matters of life or inquire about health preservation knowledge, existing devices are difficult to give appropriate responses, resulting in limited channels for the elderly to communicate emotionally and acquire knowledge.

[0004] In the aspect of spiritual and cultural entertainment, the elderly have a strong interest in traditional culture and art, such as opera. However, currently, the devices on the market targeting the spiritual and cultural needs of the elderly have relatively single functions. Most opera playback devices can only play tracks in a fixed order, lacking intelligent search and recommendation functions. It is difficult for the elderly to quickly find their favorite opera content and fully enjoy a rich spiritual and cultural life.

[0005] In the field of health management, there are many deficiencies in existing elderly care health monitoring devices. On the one hand, the functions are relatively single, often only able to detect a certain health indicator, such as blood pressure, blood sugar, etc., and cannot comprehensively and real-time monitor the physical condition of the elderly. On the other hand, regarding the common risk of falls for the elderly, although some devices have posture monitoring functions, the misjudgment rate is relatively high, and they have not been effectively integrated with other health monitoring functions. In addition, for important health indicators such as blood oxygen saturation, there are no convenient and real-time detection means in daily elderly care devices. And the detection of snoring during sleep is of great significance for evaluating the sleep and respiratory health of the elderly, but it has not received enough attention, the popularization of relevant devices is low, and they have not been effectively integrated with the overall health management system.

[0006] At the same time, the operation interfaces of some existing intelligent elderly care service terminals are complex, the text is small, and the operation steps are cumbersome, resulting in too high a learning cost for the elderly. This makes the elderly prone to frustration during use, reducing the actual utilization rate of the device and unable to fully play its due role.

[0007] In summary, there are many deficiencies in the existing intelligent elderly care service terminals in meeting the diverse needs of the elderly. In recent years, the rapid development of large language model technology has made it possible to improve the interaction experience of elderly care devices. At the same time, the continuous progress of sensor technology and data processing technology has also laid a foundation for realizing more accurate functions such as posture recognition, blood oxygen detection, and snoring detection. Therefore, it is of great practical significance to develop an intelligent elderly care service terminal based on large language models, integrating multiple functions, with simple operation and high intelligence. Summary of the Invention

[0008] In view of this, in response to the deficiencies of the existing technology, the present invention proposes an intelligent elderly care service terminal based on large language models, aiming to solve at least one of the problems raised in the above background technology.

[0009] The present invention provides an intelligent elderly care service terminal based on large language models, including: a large language model interaction module, which is used to achieve natural language conversations with the elderly, receive and record voice instructions or text information input by the elderly, and generate corresponding answers based on the large language model. The large language model is optimized through common problems and communication scenario information in the elderly care field;

[0010] An opera playback module, which stores an opera resource library. The opera playback module can retrieve and play corresponding operas from the opera resource library according to the instructions input by the elderly through the large language model interaction module;

[0011] A posture recognition module, which includes multiple sensors distributed on the wearable body parts of the elderly. The multiple sensors are used to collect the motion data of the elderly in real time. By analyzing and processing the motion data, the posture state of the elderly is recognized. When a preset dangerous or abnormal posture is detected, a corresponding alarm mechanism is triggered;

[0012] A blood oxygen detection module, which uses optical detection technology to measure the blood oxygen saturation of the elderly, obtains blood oxygen data, and transmits the data to the data processing and storage unit for further analysis and storage;

[0013] A snoring detection module, which uses an acoustic sensor to collect the sound signals during the sleep of the elderly. The obtained sound signals are detected and analyzed through a sound recognition algorithm. The sound signals include parameters such as the frequency, intensity, and duration of snoring, and a snoring monitoring report is generated;

[0014] A screen display module, which is used to display the conversation content of the large language model interaction module, the opera playlist and playing status, the posture recognition status, the blood oxygen detection data, and the snoring detection report. The screen display module supports touch screen operation;

[0015] The data processing and storage unit is electrically connected to the large language model interaction module, the opera playing module, the posture recognition module, the blood oxygen detection module, the snoring detection module, and the screen display module.

[0016] In some embodiments, the large language model interaction module adopts a cloud-edge collaborative working mode.

[0017] In some embodiments, the opera resource library of the opera playing module can obtain opera resources in real time through network connection for online update.

[0018] In some embodiments, the multiple sensors in the posture recognition module are one or a combination of an acceleration sensor, a gyroscope sensor, and a pressure sensor.

[0019] In some embodiments, the blood oxygen detection module can automatically perform blood oxygen detection according to a preset time set by the user and record the detection results in the historical data.

[0020] In some embodiments, the snoring detection module can interact with sleep monitoring devices and comprehensively evaluate the sleep quality of the elderly in combination with sleep parameters.

[0021] In some embodiments, the screen display module is in an eye protection screen mode and can automatically adjust the screen brightness and color temperature.

[0022] In some embodiments, it further includes a remote communication module, which is used to send the health data and monitoring information collected by the large language model interaction module, the opera playing module, the posture recognition module, the blood oxygen detection module, and the snoring detection module to a preset terminal device, and the terminal device includes the mobile phone and computer of the guardian.

[0023] In some embodiments, the remote communication module supports multiple communication protocols, and the multiple communication protocols include Wi-Fi, Bluetooth, and 4G / 5G.

[0024] In some embodiments, it further includes a power module, which is an internal rechargeable battery or an external power adapter. The power module is electrically connected to the data processing and storage unit, the large language model interaction module, the opera playing module, the posture recognition module, the blood oxygen detection module, the snoring detection module, and the screen display module.

[0025] Compared with the prior art, the beneficial effects of the present invention are as follows: Through the large language model interaction module, natural and fluent conversation is achieved, greatly meeting the emotional companionship and information acquisition needs of the elderly, and enhancing their sense of happiness in life. The intelligent functions of the opera playback module enrich the spiritual and cultural life of the elderly and inherit and carry forward traditional culture. In terms of health management, the integration of functions such as posture recognition, blood oxygen detection, and snoring detection realizes comprehensive and real-time monitoring of the physical condition of the elderly. The posture recognition function can effectively prevent accidents such as falls, the blood oxygen detection timely grasps the blood oxygen health status, and the snoring detection provides a basis for sleep apnea health assessment, comprehensively protecting the physical health of the elderly. Once an abnormal situation is detected, an alarm can be issued in a timely manner to help the elderly and relevant personnel respond quickly and take necessary measures. The graphical interface and touch operation design of the screen display module, as well as the eye protection screen technology, make the device operation simple and user-friendly, in line with the usage habits of the elderly, and improve the user experience. The remote communication module facilitates children and medical staff to remotely monitor the condition of the elderly, realizing the effective connection between the family and professional medical care. The high integration design of the device reduces the number of devices, lowers costs and space occupancy. At the same time, the coordinated work of each module and stable performance ensure the long-term reliable operation of the device, reducing the maintenance workload and cost. The portable design and multiple power supply methods increase the flexibility and scenario adaptability of the device. The present invention conforms to the development trend of intelligent elderly care, provides an innovative and effective solution for improving the quality of life and health protection of the elderly, and has significant social value and economic benefits.

[0026] The above general description and the following detailed description are merely exemplary and explanatory, and do not limit the present disclosure.

[0027] Other features and aspects of the present disclosure will become clearer from the following detailed description of the exemplary embodiments with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required for the description of the specific embodiments or the prior art. Obviously, the following drawings are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0029] Figure 1 It is a structural block diagram of an intelligent elderly care service terminal based on a large language model provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0030] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present application without creative efforts shall fall within the protection scope of the present application.

[0031] In the description of the present application, it should be understood that the orientation or positional relationship indicated by terms such as "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. is based on the orientation or positional relationship shown in the accompanying drawings, and is only for the convenience of describing the present application and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation to the present application.

[0032] The terms "first" and "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features. In the description of the present application, unless otherwise stated, the meaning of "a plurality" is two or more.

[0033] In the description of the present application, it should be noted that unless otherwise clearly specified and limited, the terms "mounted", "connected", and "connected" should be understood in a broad sense. For example, it may be a fixed connection, a detachable connection, or an integral connection; it may be a mechanical connection or an electrical connection; it may be directly connected or indirectly connected through an intermediate medium, and it may be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present application can be understood according to specific situations.

[0034] As described in the background art, some existing intelligent elderly care service terminals have complex operation interfaces, small text, and cumbersome operation steps, which result in too high a learning cost for the elderly. This makes the elderly prone to a sense of frustration during use, reduces the actual utilization rate of the device, and fails to fully play its due role. In summary, there are many deficiencies in the existing intelligent elderly care service terminals in meeting the diverse needs of the elderly. In recent years, the rapid development of large language model technology has provided the possibility to improve the interaction experience of elderly care devices. At the same time, the continuous progress of sensor technology and data processing technology has also laid a foundation for realizing more accurate functions such as posture recognition, blood oxygen detection, and snoring detection. Therefore, it is of great practical significance to develop an intelligent elderly care service terminal based on large language models, integrating multiple functions, having a simple operation, and a high degree of intelligence.

[0035] To address the above issues, a smart elderly care service terminal based on a large language model proposed in this application enables natural and fluent conversation through a large language model interaction module, greatly meeting the emotional companionship and information acquisition needs of the elderly and enhancing their sense of well-being in life. The intelligent functions of the opera playback module enrich the spiritual and cultural life of the elderly and inherit and carry forward traditional culture. In terms of health management, the integration of functions such as posture recognition, blood oxygen detection, and snoring detection realizes comprehensive and real-time monitoring of the physical condition of the elderly. The posture recognition function can effectively prevent accidents such as falls, the blood oxygen detection timely grasps the blood oxygen health status, and the snoring detection provides a basis for the assessment of sleep respiratory health, comprehensively ensuring the physical health of the elderly. Once an abnormal situation is detected, an alarm can be issued in a timely manner to help the elderly and relevant personnel respond quickly and take necessary measures. The graphical interface and touch operation design of the screen display module, as well as the eye protection screen technology, make the device easy to operate and user-friendly, conforming to the usage habits of the elderly and enhancing the user experience. The remote communication module facilitates children and medical staff to remotely monitor the condition of the elderly, realizing the effective connection between the family and professional medical care. The high-integration design of the device reduces the number of devices, lowers costs and space occupancy. At the same time, the collaborative work of each module and the stable performance ensure the long-term reliable operation of the device, reducing the maintenance workload and costs. The portable design and multiple power supply methods increase the flexibility and scenario adaptability of the device. This invention conforms to the development trend of intelligent elderly care, provides an innovative and effective solution for improving the quality of life and health protection of the elderly, and has significant social value and economic benefits.

[0036] Referring to Figure 1 as shown, a smart elderly care service terminal based on a large language model according to an embodiment of the present application includes:

[0037] A large language model interaction module, which is used to achieve natural language conversations with the elderly, receive and record voice commands or text information input by the elderly, and generate corresponding answers based on the large language model, and the large language model is optimized through common problems and communication scenario information in the elderly care field;

[0038] An opera playback module, which stores an opera resource library, and the opera playback module can retrieve and play corresponding operas from the opera resource library according to the instructions input by the elderly through the large language model interaction module;

[0039] A posture recognition module, which includes multiple sensors distributed on the wearable body parts of the elderly. The multiple sensors are used to collect the motion data of the elderly in real time. By analyzing and processing the motion data, the posture state of the elderly is recognized. When a preset dangerous or abnormal posture is detected, a corresponding alarm mechanism is triggered;

[0040] A blood oxygen detection module, which uses optical detection technology to measure the blood oxygen saturation of the elderly, obtains blood oxygen data, and transmits the data to the data processing and storage unit for further analysis and storage;

[0041] A snoring detection module, which uses an acoustic sensor to collect sound signals during the sleep of the elderly, and detects and analyzes the acquired sound signals through a sound recognition algorithm. The sound signals include parameters such as the frequency, intensity, and duration of snoring, and generates a snoring monitoring report;

[0042] A screen display module, which is used to display the conversation content of the large language model interaction module, the opera playlist and playing status, the posture recognition status, the blood oxygen detection data, and the snoring detection report. The screen display module can be operated by touch;

[0043] The data processing and storage unit is electrically connected to the large language model interaction module, the opera playing module, the posture recognition module, the blood oxygen detection module, the snoring detection module, and the screen display module.

[0044] In some specific embodiments, the large language model interaction module adopts a cloud-edge collaborative working mode.

[0045] Specifically, the large language model interaction module converts the speech input by the elderly into text information through a built-in speech recognition engine. A speech recognition algorithm based on deep learning is used to extract features and perform pattern matching on the speech signal. The converted text information is transmitted to the local processing unit. The local processing unit first performs preliminary lexical and syntactic analysis, and divides it into a sequence of words {w 1 , w 2 , …, w n}, and then constructs a syntax tree through syntactic analysis to extract key information K. For simple instructions, such as querying the weather, time, etc., the local processing unit directly gives an answer using a pre-stored small knowledge base. For complex questions, such as health consultations, life suggestions, etc., the local processing unit sends the information to the cloud server through the network. The cloud server is equipped with a large-scale large language model, which is processed by the encoder and decoder of a multi-layer Transformer architecture to generate an accurate answer and send it back to the local device. The local device then uses speech synthesis technology to feedback the answer to the elderly in the form of speech. The speech synthesis technology uses methods such as parametric synthesis and waveform splicing to make the speech more natural and fluent. The formula for calculating the attention score is:

[0046]

[0047] In the formula, Q is the query matrix, K is the key matrix, V is the value matrix, dk is the dimension of the key matrix. After answer A is returned to the local device via the network, it is converted into voice through speech synthesis technology and fed back to the elderly.

[0048] In some specific embodiments, the opera resource library of the opera playing module can obtain opera resources in real time through network connection for online update.

[0049] Specifically, the opera playing module stores the opera resource library in the large-capacity storage chip of the device in the form of a database, and classifies and indexes it according to dimensions such as opera type, era, and actor. When the elderly issue an opera playing instruction through the large language model interaction module, the opera playing module quickly retrieves in the resource library based on the keywords in the instruction, such as the opera type "Peking Opera" and the track name "Drunken Concubine". The retrieval algorithm uses an efficient string matching algorithm to ensure accurate and fast positioning of the target track. After finding the track, the opera audio data is decoded by the audio decoding chip, and then the audio signal is amplified by the power amplifier to drive the speaker to play the opera. At the same time, the screen display module will synchronously display the relevant information of the currently playing track, such as the track name, singer, and plot summary.

[0050] In some specific embodiments, the multiple sensors in the posture recognition module are one or a combination of an acceleration sensor, a gyroscope sensor, and a pressure sensor.

[0051] Specifically, the posture recognition module uses an acceleration sensor, which obtains motion data by detecting the acceleration changes of the device in different directions. When the elderly change their posture, the acceleration signal a(t) output by the acceleration sensor changes with time. This electrical signal is amplified, filtered, and other processed by the signal conditioning circuit and then transmitted to the posture recognition algorithm module. The filtered signal is:

[0052]

[0053] where is the Laplace transform, is the inverse Laplace transform.

[0054] The posture recognition algorithm module uses the support vector machine (SVM) algorithm in machine learning to analyze the processed signal and identify the current posture state, such as standing, sitting, falling, etc. If a dangerous posture such as falling is detected, the module will immediately send an alarm signal to the data processing and storage unit. The data processing and storage unit records this event on the one hand, and displays a warning message on the screen and emits a sound alarm on the other hand.

[0055] In some specific embodiments, the blood oxygen detection module can automatically perform blood oxygen detection according to the preset time set by the user and record the detection results in the historical data.

[0056] Specifically, the blood oxygen detection module irradiates human tissue (such as a finger) with light of a specific wavelength. Part of the light is absorbed by hemoglobin in the blood, and the rest of the light is reflected or transmitted back. The photodetector that receives the optical signal converts the optical signal into an electrical signal. This electrical signal is processed through amplification, filtering, etc., and then converted into a digital signal through an analog-to-digital converter. According to the Lambert-Beer law, by calculating the absorption degree of light of different wavelengths, the blood oxygen saturation SpO 2 . The calculation formula is:

[0057]

[0058] In the formula, I 01 and I 02 are the incident light intensities of red light and infrared light respectively, ε 1 and ε 2 are the absorption coefficients corresponding to red light and infrared light respectively, I 1 and i 2 are the transmitted light intensities received by the photodetector respectively. The detected blood oxygen data is transmitted to the data processing and storage unit for storage in real time, and can be viewed on the screen display module.

[0059] In some specific embodiments, the snoring detection module can perform data interaction with the sleep monitoring device and comprehensively evaluate the sleep quality of the elderly in combination with sleep parameters.

[0060] Specifically, the snoring detection module collects the sound signal of the elderly during sleep through a microphone. The sound signal is first amplified by a pre-amplification circuit, and then the interference signals such as environmental noise are removed through a band-pass filter, and only the signals within the snoring frequency range are retained. The processed signal is transmitted to the snoring recognition algorithm module, which uses voice recognition technology based on deep learning to extract and analyze the characteristics of the snoring, and identify parameters such as the frequency, intensity, and duration of the snoring. By comparing with the normal sleep sound model, the sleep breathing health status is judged. For example, if the snoring intensity is too high and the duration is too long, it may indicate problems such as sleep apnea. The analysis formula is:

[0061]

[0062] In the formula, w(τ) is the window function, s 2 (τ) is the snoring signal, and S(f,t) is the time-frequency matrix.

[0063] The generated snoring monitoring report is transmitted to the data processing and storage unit and can be viewed on the screen display module.

[0064] Specifically, the screen display module uses an organic light-emitting diode display (OLED). The display driver chip receives various information data from the data processing and storage unit, including the conversation content of the large language model interaction module, the opera playback information, the posture recognition status, the blood oxygen detection data, the snoring detection report, etc. The driver chip converts these data into signals that the display screen can recognize, controls the pixel points on the display screen to emit light, and displays the information in a graphical interface. For example, the change trend of blood oxygen data is displayed in the form of a chart, and the opera playlist is displayed in the form of a list. At the same time, the screen supports touch operations. The touch detection circuit detects the touch position and transmits the signal to the data processing and storage unit to realize function selection and instruction input.

[0065] The data processing and storage unit uses a high-performance microprocessor, which has powerful data processing capabilities and storage management capabilities. It receives data from various modules, including the posture data of the posture recognition module, the blood oxygen data of the blood oxygen detection module, etc. The data processing and storage unit first preprocesses the data, including data cleaning, format conversion, etc., to remove noise and invalid data. Then, according to different functional requirements, the data is analyzed and processed. The processed data is stored in a large-capacity storage chip, which can use flash memory (Flash) or solid-state drive (SSD). The stored data can be queried and analyzed later, and can also be transmitted to external devices through the remote communication module.

[0066] In some specific embodiments, the screen display module is in an eye protection screen mode and can automatically adjust the screen brightness and color temperature.

[0067] In some specific embodiments, a remote communication module is further included. The remote communication module is used to send the health data and monitoring information collected by the large language model interaction module, the opera playback module, the posture recognition module, the blood oxygen detection module, and the snoring detection module to a preset terminal device, and the terminal device includes the mobile phone and computer of the guardian.

[0068] In some specific embodiments, the remote communication module supports multiple communication protocols, and the communication protocols include Wi-Fi, Bluetooth, 4G / 5G.

[0069] In some specific embodiments, a power module is further included. The power module is an internal rechargeable battery or an external power adapter, and the power module is electrically connected to the data processing and storage unit, the large language model interaction module, the opera playback module, the posture recognition module, the blood oxygen detection module, the snoring detection module, and the screen display module.

[0070] Specifically, the remote communication module uses Wi-Fi communication. The module has a built-in Wi-Fi chip, which connects to the home wireless router to access the Internet. The data processing and storage unit packs the health data and monitoring information to be transmitted into data packets in a specific format and sends them to the Internet through the Wi-Fi chip. External terminal devices (such as children's mobile phones, medical staff's computers) receive and parse these data packets with the support of a network server through corresponding applications to display the real-time status of the elderly. At the same time, the remote communication module can also receive instructions sent by external terminal devices, such as adjusting device parameters, querying specific data, etc., and pass the instructions to the data processing and storage unit.

[0071] The power supply module uses a built-in rechargeable battery, which is a lithium battery and has advantages such as high energy density and long cycle life. The charging management circuit is responsible for controlling the charging of the battery. When an external power adapter is connected, the charging management circuit converts the input alternating current into appropriate direct current to charge the battery and monitors the charging status of the battery, such as charging current, voltage, etc., to prevent overcharging and over-discharging. When the device is powered by the battery, the power conversion circuit converts the voltage output by the battery into the working voltages required by each module to ensure the normal operation of the device. The power management chip can also manage the power consumption of the device and automatically adjust the power supply of each module according to the working state of the device to achieve the purpose of energy saving.

[0072] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention also intends to include these changes and modifications.

Claims

1. An intelligent elderly care service terminal based on a large language model, characterized in that: include: A large language model interaction module, which is used to implement natural language dialogue with the elderly, receive and record voice commands or text messages input by the elderly, and generate corresponding answers based on the large language model, which is optimized through common problems in the elderly care field and communication scenario information; An opera playing module, wherein the opera playing module stores an opera resource library, and the opera playing module can search the opera resource library and play the corresponding opera according to the instructions input by the elderly through the large language model interaction module; A posture recognition module, wherein the posture recognition module comprises a plurality of sensors, the plurality of sensors are distributed on the wearable body parts of the elderly, the plurality of sensors are used to collect the motion data of the elderly in real time, and recognize the posture state of the elderly by analyzing and processing the motion data, and trigger a corresponding alarm mechanism when a preset dangerous or abnormal posture is detected; A blood oxygen detection module, which uses optical detection technology to measure the blood oxygen saturation of the elderly, obtains blood oxygen data, and transmits the data to a data processing and storage unit for further analysis and storage; A snoring detection module, which uses an acoustic sensor to collect sound signals during the sleep of the elderly, detects and analyzes the acquired sound signals through a sound recognition algorithm, wherein the sound signals include the frequency, intensity, and duration parameters of the snoring, and generates a snoring monitoring report; A screen display module, which is used to display the conversation content of the large language model interaction module, the opera playlist and play status, the gesture recognition status, the blood oxygen detection data, and the snoring detection report. The screen display module can be operated by touch screen; The data processing and storage unit is electrically connected to the large language model interaction module, the opera playing module, the posture recognition module, the blood oxygen detection module, the snoring detection module and the screen display module.

2. According to claim 1, a smart elderly care service terminal based on a large language model is characterized in that: The large language model interaction module adopts a cloud-end collaborative working mode.

3. According to claim 1, the intelligent elderly care service terminal based on a large language model is characterized in that: The opera resource library of the opera playing module can obtain opera resources in real time through a network connection and perform online updates.

4. According to claim 1, the intelligent elderly care service terminal based on a large language model is characterized in that: The multiple sensors in the gesture recognition module are one or more combinations of acceleration sensors, gyroscope sensors, and pressure sensors.

5. The intelligent elderly care service terminal based on a large language model according to claim 1, characterized in that: The blood oxygen detection module can automatically perform blood oxygen detection according to the preset time set by the user, and record the detection results in the historical data.

6. The intelligent elderly care service terminal based on a large language model according to claim 1, characterized in that: The snoring detection module can exchange data with the sleep monitoring device and conduct a comprehensive assessment of the sleep quality of the elderly in combination with sleep parameters.

7. The intelligent elderly care service terminal based on a large language model according to claim 1, characterized in that: The screen display module is in eye protection screen mode and can automatically adjust the screen brightness and color temperature.

8. The intelligent elderly care service terminal based on a large language model according to claim 1, characterized in that: It also includes a remote communication module, which is used to send the health data and monitoring information collected by the large language model interaction module, opera playing module, posture recognition module, blood oxygen detection module, and snoring detection module to a preset terminal device, and the terminal device includes the guardian's mobile phone and computer.

9. The intelligent elderly care service terminal based on a large language model according to claim 8, characterized in that: The remote communication module supports multiple communication protocols, including Wi-Fi, Bluetooth, and 4G / 5G.

10. The intelligent elderly care service terminal based on a large language model according to claim 1, characterized in that: It also includes a power module, which is a built-in rechargeable battery or an external power adapter. The power module is electrically connected to the data processing and storage unit, the large language model interaction module, the opera playing module, the posture recognition module, the blood oxygen detection module, the snoring detection module and the screen display module.

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