Intelligent ornament interaction system and method

Abstract

The invention provides an intelligent ornament interaction system and method, and the system comprises a terminal ornament which is a decorative wearable article and is provided with an information collection module, an information output module and a wireless communication module; the cloud server is in communication connection with the terminal ornament; the information acquisition module is used for acquiring interaction information of a wearing user; the wireless communication module is used for sending the interaction information to a cloud server; the cloud server is deployed with an artificial intelligence model and is used for processing the interaction information and generating personalized feedback information conforming to an ornament interaction scene; the wireless communication module is also used for receiving personalized feedback information; and the information output module is used for outputting personalized feedback information to the wearing user. Information collection and output are carried out through the terminal ornament, complex artificial intelligence is deployed on the cloud, the light weight is kept, meanwhile, a user wearing the terminal ornament can carry out intelligent emotion interaction with the terminal ornament, and the intelligent level of the terminal ornament is remarkably improved.

Description

Technical Field

[0001] This invention relates to the field of smart jewelry technology, and in particular to a smart jewelry interaction system and method. Background Technology

[0002] Jewelry, as an important item worn daily by humans, has been widely used since ancient times for decoration, identity identification, and emotional expression. Its forms encompass various types such as necklaces, rings, bracelets, and pendants. Traditional jewelry primarily relies on materials, shapes, and cultural symbolism to express its value. Existing smart jewelry mostly integrates sensor modules to achieve functions such as health monitoring, location tracking, and anti-loss features.

[0003] However, the simple sensor monitoring method results in a poor level of intelligence in the jewelry. Summary of the Invention

[0004] This invention provides an intelligent jewelry interaction system and method to address the shortcomings of existing technologies that rely on simple integrated sensor positioning for jewelry, resulting in poor intelligence levels.

[0005] This invention provides an intelligent jewelry interaction system, comprising: The terminal ornament is a decorative wearable item, equipped with an information collection module and an information output module; A cloud server that communicates with the terminal jewelry; The information collection module is used to collect interaction information from the user wearing the device. The cloud server is equipped with an artificial intelligence model to process the interactive information and generate personalized feedback information that matches the jewelry interaction scenario. The information output module is used to output the personalized feedback information to the wearer. The artificial intelligence model is trained based on a basic large language model and combined with jewelry interaction scenarios.

[0006] According to the present invention, an intelligent jewelry interaction system is provided, wherein the cloud server includes an intelligent routing and load management module, used for: Based on the data type and business scenario of the interactive information, the corresponding artificial intelligence model is dynamically scheduled for processing, wherein the business scenario includes at least one of voice dialogue, image recognition and personalized recommendation.

[0007] According to the present invention, an intelligent jewelry interaction system is provided, wherein the artificial intelligence model includes a large language model that has been adjusted according to the context. The contextualized adjustment is achieved by training the large language model using a dataset that includes cultural semantics related to the jewelry, emotional expression corpus, and multi-turn dialogues, thereby controlling the output of the large language model to match the anthropomorphic interaction style of the decorative wearable item.

[0008] According to the intelligent jewelry interaction system provided by the present invention, the cloud server further includes a personalized interaction profile bound to the user's identity, used to record interaction history and user preferences; When the artificial intelligence model generates the personalized feedback information, it integrates the personalized interaction profile to optimize the feedback information so that it possesses continuous personalized characteristics and emotional expression.

[0009] According to the present invention, an intelligent jewelry interaction system is provided in which the information acquisition module and the information output module are configured in concert to realize multimodal emotional interaction; The information acquisition module includes a microphone and / or a camera, used to acquire voice information containing emotional tone and / or image information containing the user's environmental status; The information output module includes a speaker for outputting voice feedback containing emotional context and light effect sequences expressing emotional states.

[0010] According to the intelligent jewelry interaction system provided by the present invention, the terminal jewelry further includes an information encoding module and an information decoding module; The information encoding module is used to process the interactive information and convert it into a data format suitable for transmission. The information decoding module is used to decode the personalized feedback information and convert it into an output format adapted to different information sources.

[0011] According to the present invention, an intelligent jewelry interaction system further includes a wireless communication module, which is used to send the interaction information to the cloud server and to receive the personalized feedback information.

[0012] According to the present invention, an intelligent jewelry interaction system is provided, wherein the terminal jewelry is constructed as at least one of a necklace, ring, brooch, hairpin, bracelet, and pendant.

[0013] According to the intelligent jewelry interaction system provided by the present invention, the personalized feedback information includes at least one of the following: Fortune telling metaphors and emotional advice based on natural language dialogue; Proactive explanation of cultural allusions based on environmental visual recognition; Proactive care reminders based on user behavior and time context prediction; Supports long-term memory and emotional resonance in companion-style chat.

[0014] This invention provides a smart jewelry interaction method, applied to terminal jewelry, comprising: Collect interaction information from users who wear the device; The interactive information is sent to the cloud server; Receive personalized feedback information from the cloud server that matches the jewelry interaction scenario. The personalized feedback information is generated by the cloud server based on the interaction information processed by an artificial intelligence model. The personalized feedback information is output to the wearer.

[0015] This invention provides an intelligent jewelry interaction system and method, comprising: a terminal jewelry item, which is a decorative wearable item equipped with an information collection module and an information output module; and a cloud server communicatively connected to the terminal jewelry item. The information collection module collects interaction information from the wearer. The cloud server deploys an artificial intelligence model to process the interaction information and generate personalized feedback information that matches the jewelry interaction scenario. The information output module outputs personalized feedback information to the wearer. The artificial intelligence model is trained based on a basic large language model combined with jewelry interaction scenarios. By collecting and outputting information through the terminal jewelry item and deploying complex artificial intelligence in the cloud, a lightweight approach is maintained, allowing the wearer to engage in intelligent emotional interaction with the terminal jewelry item, significantly improving the intelligence level of the terminal jewelry item. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0017] Figure 1 This is a schematic diagram of the intelligent jewelry interaction system provided by the present invention; Figure 2 This is an overall schematic diagram of the smart necklace provided in this embodiment; Figure 3 yes Figure 2 A breakdown diagram of the corresponding smart necklace. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0019] Figure 1 This is a schematic diagram of the intelligent jewelry interaction system provided by the present invention. Figure 2 This is an overall schematic diagram of the smart necklace provided in this embodiment. Figure 3 yes Figure 2 A breakdown diagram of the corresponding smart necklace.

[0020] like Figures 1-3 As shown, this embodiment provides an intelligent jewelry interaction system, including: a terminal jewelry item 2, which is a decorative wearable item, equipped with an information acquisition module 201 and an information output module 205; and a cloud server 3 communicatively connected to the terminal jewelry item 2. The information acquisition module 201 is used to collect interaction information from the wearer 1. The cloud server 3 is equipped with an artificial intelligence model 302, which processes the interaction information and generates personalized feedback information that conforms to the jewelry interaction scenario. The information output module 205 is used to output personalized feedback information to the wearer 1. The artificial intelligence model is trained based on a basic large language model combined with the jewelry interaction scenario.

[0021] Specifically, the terminal accessory 2 is constructed as at least one of the following: necklace, ring, brooch, hairpin, bracelet, and pendant. Taking a smart necklace as an example, this decorative wearable item includes the accessory body and a base. The pendant integrates an information acquisition module 201, an information output module 205, and a wireless communication module 203. The wireless communication module 203 sends interactive information to the cloud server 3 and receives personalized feedback. All modules are centrally managed by a control module and powered by a battery module 206. The cloud server 3 is an independent remote server that establishes a stable wireless communication connection with the smart necklace via the wireless communication module 203. The cloud server 3 is pre-deployed with an artificial intelligence model 302, possessing information processing and personalized feedback generation capabilities. By building an edge-based acquisition and cloud-based processing infrastructure, the decorative and lightweight nature of the terminal accessory 2 is balanced, while simultaneously endowing the system with core intelligent processing capabilities.

[0022] The information acquisition module 201 of the smart necklace collects real-time interaction information from the user while the necklace is being worn. This interaction information includes the user's active voice commands and touch operations, as well as passively collected user voice intonation and surrounding environment images. All collected information is transmitted to the control module for temporary storage in real time. The information acquisition module 201 enables comprehensive collection of multi-dimensional user interaction information, providing a real and real-time data source for intelligent processing in the cloud.

[0023] The control module sends the temporarily stored interactive information to the wireless communication module 203, which then reliably transmits the interactive information to the cloud server 3 according to the adapted transmission protocol. The entire transmission process is completed in the background without manual user intervention. This enables information exchange between the edge and the cloud, ensuring that collected information can be uploaded to the processing end quickly and accurately. The wireless communication module 203 supports WiFi, 4G, or 5G technologies.

[0024] After receiving the interactive information, the cloud server 3 inputs the information into the pre-deployed artificial intelligence model 302. The model analyzes, identifies, and processes the interactive information, generating personalized feedback information that matches the characteristics of the jewelry interaction scenario. The type and content of the feedback information are highly matched to the user's interactive information. By utilizing the computing power of the cloud to complete complex artificial intelligence processing, the system avoids the problem of the edge terminal jewelry 2 being unable to achieve intelligent analysis due to size and power consumption limitations, thus improving the system's intelligence level.

[0025] The cloud server 3 transmits the generated personalized feedback information back to the wireless communication module 203 of the smart necklace via a wireless communication link. Upon receiving the feedback information, it transmits it to the control module in real time for distribution. This enables rapid feedback of processing results, ensures timely interaction, and improves the user experience.

[0026] The control module sends personalized feedback information to the information output module 205, which then outputs the feedback information to the user 1 in a user-perceptible form, completing the entire interaction process. This transforms the cloud-based processing results into an intuitive output on the edge, enabling effective interaction between the user and the terminal accessory 2, transforming the terminal accessory 2 from a static decoration into an intelligent interactive carrier.

[0027] The entire process is logically clear and easy to operate. While maintaining the lightweight and decorative nature of the terminal jewelry 2, it allows users to engage in intelligent emotional interaction with the terminal jewelry 2, thus solving the problem of the poor intelligence level of existing smart jewelry.

[0028] Furthermore, based on the above embodiments, the cloud server 3 in this embodiment includes an intelligent routing and load management module, which is used to: dynamically schedule the corresponding artificial intelligence model 302 for processing according to the data type and business scenario of the interactive information, wherein the business scenario includes at least one of voice dialogue, image recognition and personalized recommendation.

[0029] Specifically, the intelligent routing and load management module added inside the cloud server 3 is the core of cloud information processing scheduling. Its core function is to dynamically schedule the corresponding artificial intelligence model 302 for processing based on the data type and business scenario of the interactive information.

[0030] After receiving the interactive information from the cloud server 3, the intelligent routing and load management module first identifies the data type of the interactive information, distinguishing different types of information such as voice data, image data, and command data. At the same time, it matches the business scenario with the information content to determine that the business scenario corresponding to the interactive information is at least one of voice dialogue, image recognition, and personalized recommendation, thereby achieving accurate classification and scenario positioning of the uploaded information.

[0031] The intelligent routing and load management module pre-stores matching relationships between AI models 302 and data types and business scenarios. After completing recognition and matching, it dynamically schedules the corresponding AI model 302 to process the interactive information based on the matching results. For example, when the interactive information is a voice command or voice chat, the voice dialogue AI model 302 is scheduled; when the interactive information is an environmental image or a physical image, the image recognition AI model 302 is scheduled; and when the interactive information is a user's demand recommendation or preference query, the personalized recommendation AI model 302 is scheduled. This achieves precise scheduling and division of labor among different models, improving the efficiency and accuracy of cloud-based information processing.

[0032] When multiple users interact simultaneously and multiple models run concurrently, the intelligent routing and load management module monitors the operating load of each AI model 302 in real time, rationally allocates computing resources, and schedules new interactive information to models or computing nodes with lower loads, avoiding processing lag and delays caused by overload of a single model. This ensures the stable operation of the cloud server 3 in high-concurrency scenarios and improves the system's anti-interference capability and service stability.

[0033] By setting up and implementing the intelligent routing and load management modules, the AI ​​model 302 of the cloud server 3 can be made to process data more effectively and efficiently, further improving the intelligent processing capabilities and operational stability of the entire interactive system.

[0034] Furthermore, based on the above embodiments, the artificial intelligence model 302 in this embodiment includes a large language model that has been context-adjusted; the context-adjustment is performed by training with a dataset containing cultural semantics related to jewelry, emotional expression corpus and multi-turn dialogue, and controlling the output of the large language model to fit the anthropomorphic interaction style of decorative wearable items.

[0035] Specifically, the core of AI model 302 includes a scenario-adjusted large language model. This model is derived from a basic large language model, specifically trained and adjusted for jewelry interaction scenarios. First, a dedicated scenario-adjusted training dataset was built. This dataset includes jewelry-related cultural semantics, such as the cultural connotations of various jewelry items (blessing, auspiciousness, commemoration, etc.), the cultural background of Chinese and Western jewelry, emotional expression corpora such as expressions of comfort, encouragement, happiness, and empathy under different emotions, and multi-turn dialogue corpora, such as continuous chat between users and jewelry, and multi-turn question-and-answer dialogues. The content of the dataset is closely aligned with the interaction scenarios of decorative wearable items, avoiding confusion with corpora from other scenarios. This dataset provides dedicated data for scenario-adjusted adjustments of the large language model, ensuring the adaptability of the adjusted model.

[0036] The constructed dataset is input into a basic large language model for targeted fine-tuning and training. During training, specific training parameters are set to control the output logic, expression style, and response mode of the large language model, making it suitable for the interactive characteristics of decorative wearable items. This allows the large language model to transform from a general-purpose model to one specifically designed for jewelry scenarios, possessing language processing capabilities tailored to jewelry contexts.

[0037] Through scenario-based training, the large language model develops an anthropomorphic interaction style that aligns with decorative wearable items. This style adapts to the type and cultural background of the jewelry. For example, the large language model for blessing necklaces adopts a gentle and healing anthropomorphic style, while the large language model for commemorative rings adopts a warm and composed anthropomorphic style, maintaining a consistent style to avoid inconsistencies. This makes the interaction of the terminal jewelry 2 more personalized, enhancing the user's emotional connection and immersive experience.

[0038] The large language model, after being adjusted according to specific scenarios, can accurately understand user needs in jewelry interaction scenarios and output humanized responses that fit the scenario and maintain a consistent style. This makes the intelligent processing in the cloud more suitable for the usage scenarios of the terminal jewelry 2, improving the adaptability and humanization of the interaction.

[0039] Furthermore, based on the above embodiments, the cloud server 3 in this embodiment also includes a personalized interaction profile bound to the user's identity, used to record interaction history and user preferences; when the artificial intelligence model 302 generates personalized feedback information, it integrates the personalized interaction profile to optimize the feedback information to have continuous personalized characteristics and emotional expression.

[0040] Specifically, cloud server 3 internally incorporates a personalized interaction profile bound to the user's identity. This personalized interaction profile is a user-exclusive data file, serving as a crucial basis for personalized feedback. When user 1 first uses the terminal accessory 2 (smart necklace), cloud server 3 creates a unique personalized interaction profile for the user based on their terminal device information and the accessory's unique identifier. This profile is uniquely bound to the user's identity, ensuring its exclusivity and that the content corresponds only to the user's interaction data, preventing confusion with other users. This establishes a unique interaction data profile for each user, forming the foundation for personalized processing.

[0041] Personalized interaction profiles continuously record users' interaction history in real time, such as all dialogue content, interaction time, and interaction type between user 1 and terminal accessory 2. They also record user preferences, such as preferred interaction styles, topics of interest, preferred feedback methods, and content of interest. Furthermore, the profiles support real-time updates and long-term storage. By comprehensively collecting user interaction data, personalized references are provided for the personalized feedback of the artificial intelligence model 302.

[0042] When generating personalized feedback, the AI ​​model 302 on cloud server 3 proactively retrieves personalized interaction profiles linked to the user's identity. It then integrates the profile content with the collected interaction information, analyzing the user's current needs and combining this with the user's interaction history and preferences to generate feedback. This ensures the feedback is more tailored to the user's individual characteristics, achieving true personalization.

[0043] By integrating personalized interaction profiles, the AI ​​model 302 maintains consistent, personalized characteristics in its feedback based on the user's interaction history. This includes consistently maintaining a human-like style that adapts to the user, remembering the user's unique information, and optimizing the emotional expression of feedback based on the user's preferences and emotions. For example, if the user prefers concise language, the feedback will be succinct; if the user needs empathy, the feedback will emphasize emotional resonance. By making the interaction of the terminal accessory 2 continuous and personalized, the user's long-term companionship experience is enhanced.

[0044] Personalized interactive profiles linked to user identities upgrade cloud-based intelligent processing from general personalization to user-specific personalization, making the generated feedback information more aligned with the user's individual needs and further enhancing the emotional and personalized nature of the interaction.

[0045] Furthermore, in this embodiment, the information acquisition module 201 and the information output module 205 are configured to achieve multimodal emotional interaction; the information acquisition module 201 includes a microphone and / or a camera, used to acquire voice information containing emotional tone and / or image information containing user environmental state; the information output module 205 includes a speaker, used to output voice feedback containing emotional context and light effect sequences expressing emotional state.

[0046] Specifically, the information acquisition module 201 and the information output module 205 are configured in coordination through the control module to achieve multimodal emotional interaction, enabling the terminal accessory 2 to sense the user's emotions and make corresponding emotional feedback.

[0047] The control module pre-programs a collaborative working logic between the information acquisition module 201 and the information output module 205, ensuring a high degree of matching between the content collected by the acquisition module and the output content of the output module. The emotion-related information collected by the acquisition module directly triggers the emotional feedback from the output module, forming a collaborative closed loop between emotion acquisition and feedback. Furthermore, the working states of both modules are synchronized in real time, preventing any disconnect between acquisition and feedback. This establishes a hardware collaborative foundation for multimodal emotional interaction, guaranteeing the timeliness and compatibility of emotional interaction.

[0048] The information acquisition module 201 integrates a miniature microphone and / or a miniature camera, both concealed within the pendant of the smart necklace, without affecting the ornament's decorative function. The miniature microphone can link with the audio module to accurately acquire the user's voice information and capture emotional tone, such as a low voice when depressed, a cheerful voice when happy, or a hurried voice when anxious. The miniature camera is embedded in a micro-groove on the front of the pendant, with the lens flush with the pendant surface. It primarily acquires image information including the user's environmental state, such as images of the user in different environments like home, office, scenic spots, and museums, as well as the user's facial micro-expressions. All acquired information is transmitted to the control module in real time. This comprehensive acquisition of emotion-related information from both voice and environmental visual dimensions allows the AI ​​model 302 to more accurately identify the user's emotional state and interaction scenarios.

[0049] The information output module 205 integrates a miniature speaker and audio module, linked together with LED lights along the edge of the pendant. The miniature speaker, positioned at the side sound outlet of the pendant, outputs voice feedback incorporating emotional context. The context of the voice feedback is highly matched to the user's emotional tone; for example, a gentle and comforting tone when the user is down, a cheerful and fitting tone when the user is happy, and a patient and answering tone when the user is confused. The LED lights output a sequence of light effects expressing emotional states, triggered synchronously with the emotional context of the voice feedback. For example, a warm yellow slow-flash effect for gentle comfort, a colorful fast-flash effect for cheerful interaction, and a constant white light effect for patient explanation. The brightness and frequency of the light effects can be adjusted according to the scene. This achieves emotional feedback output from both voice and visual dimensions, allowing users to intuitively perceive the emotional response of the pendant 2 through auditory and visual means, realizing true multimodal emotional interaction.

[0050] Through the coordinated configuration of the information acquisition module 201 and the information output module 205, the terminal ornament 2 has the ability to perceive and express emotions, upgrading intelligent interaction from command response to emotional interaction, which significantly improves the user's interactive experience and emotional connection.

[0051] Furthermore, the terminal accessory 2 in this embodiment also includes an information encoding module 202 and an information decoding module 204; the information encoding module 202 is used to process the interactive information and convert it into a data format suitable for transmission; the information decoding module 204 is used to decode the personalized feedback information and convert it into an output format suitable for different information sources.

[0052] Specifically, the information encoding module 202 and the information decoding module 204 are both integrated next to the control module of the smart necklace pendant. They are electrically connected to the information acquisition module 201, the information output module 205, and the wireless communication module 203, and serve as intermediate modules for achieving efficient and accurate information transmission between the edge and the cloud.

[0053] The information encoding module 202 processes the interactive information collected by the information acquisition module 201, including voice information, image information, and touch command information. In actual implementation, it converts different types and formats of interactive information into a unified data format suitable for transmission, according to the transmission requirements of the wireless communication module 203. For example, it converts audio streams collected by the microphone into compressed audio data packets, image frames collected by the camera into lightweight image data packets, and touch commands into binary command data packets. Simultaneously, it encapsulates all data packets in a unified format and adds unique identification identifiers. This solves the compatibility problem of transmitting different types of interactive information, achieves lightweight and standardized data transmission, improves the efficiency and stability of uploading interactive information to the cloud server 3, and reduces power consumption during transmission.

[0054] The information decoding module 204 decodes the personalized feedback information transmitted back from the cloud server 3. In practice, it first identifies the unique identifier of the cloud-transmitted data packets, distinguishing different types such as voice feedback data packets, light effect control data packets, and text-to-speech data packets. Then, it precisely converts these standardized transmission data packets into output formats adapted to different information sources. For example, it converts voice feedback data packets into audio formats that can be directly played by miniature speakers, light effect control data packets into electrical signal command formats that LED light groups can recognize, and text-to-speech data packets into directly playable audio stream formats. The decoded information is transmitted to the control module in real time, and then distributed to the corresponding information output module 205. This solves the compatibility problem between cloud feedback information and edge output devices, allowing different output modules to directly recognize and execute feedback commands, ensuring that personalized feedback information is accurately and promptly output to the user.

[0055] The information encoding module 202 and the information decoding module 204 form a closed loop of information processing, which includes encoding upload and decoding output, making the information interaction between the terminal ornament 2 and the cloud server 3 more efficient and accurate.

[0056] Furthermore, based on the above embodiments, the personalized feedback information in this embodiment includes at least one of the following: fortune-telling metaphor interpretation and emotional suggestions based on natural language dialogue; proactive explanation of cultural allusions based on environmental visual recognition; proactive care reminders based on user behavior and time context prediction; and companion-style chat that supports long-term memory and emotional resonance.

[0057] Specifically, the AI ​​model 302 on the cloud server 3 combines user interaction information and personalized interaction profiles bound to the user's identity to generate personalized feedback information that matches the jewelry interaction scenario. This feedback information includes at least the following four types, each of which is implemented based on a cloud-edge collaborative architecture, illustrated using a smart necklace as an example: This system utilizes natural language dialogue to interpret fortune through metaphors and provide emotional suggestions. In practice, users ask the smart necklace questions about their fortune via voice, such as "How's my fortune today?", "Are things going smoothly lately?", and "How's my luck with the postgraduate entrance exam?". The smart necklace's information collection module 201 collects the user's voice information and emotional tone and uploads it to the cloud. The cloud-based, context-adjusted large language model, combined with the cultural semantics of the jewelry (such as the auspicious meaning of the blessing necklace and the beautiful expectations of the lucky pendant), generates fortune feedback through metaphorical interpretation. It avoids direct judgments of good or bad fortune, expressing it in a gentle metaphorical form. Simultaneously, it incorporates the user's emotional tone to provide emotional suggestions tailored to their feelings. For example, when a user is down, encouraging suggestions are given alongside the fortune interpretation; when a user is anxious, soothing and reassuring suggestions are offered; and when a user is confused, guiding suggestions are provided. By deeply integrating fortune interpretation with emotional companionship, and aligning with the emotional attributes of the jewelry, the system enhances the emotional experience of the interaction, making the terminal jewelry 2 an emotional companion for the user.

[0058] Proactive cultural allusion explanation based on environmental visual recognition. In actual implementation, the smart necklace's camera collects images of the user's environment in real time. When the collected images contain cultural elements, such as museum artifacts, historical buildings in scenic spots, antique Chinese decorations, or Western art sculptures, the information collection module 201 uploads the image information to the cloud. The cloud-based image recognition model and a scene-adjusted large language model work together. First, the image recognition model accurately identifies cultural elements in the environment. Then, the large language model proactively generates corresponding cultural allusion explanations, including the historical background, related stories, and craftsmanship characteristics of the cultural elements. The explanations are then output to the user through the smart necklace's speaker. The entire process requires no active user input, making it a proactive explanation. This allows the smart necklace 2 to become the user's personal cultural guide, achieving proactive cultural interaction, giving the jewelry new cultural dissemination value, and enabling users to learn about cultural knowledge anytime, anywhere during their daily lives.

[0059] Proactive care reminders based on user behavior and time context prediction. In actual implementation, the personalized interaction profile of the cloud server 3 continuously records the user's daily behavioral habits and time patterns, such as the user's work hours, rest time, eating habits, travel habits, birthdays, anniversaries, etc. The artificial intelligence model 302 combines this data, as well as real-time time context and user environmental information, to proactively predict the user's needs, generate corresponding care reminder information, and send it back to the smart necklace to output to the user. For example, if the user is still in the office late at night, the necklace will remind them, "It's late, remember to rest, don't overwork yourself"; if the user travels to an unfamiliar city, the necklace will remind them, "Be careful while traveling, remember to try the local delicacies"; if the user has not eaten by mealtime, the necklace will remind them, "Remember to eat on time, take care of yourself"; if the user's birthday / anniversary is approaching, the necklace will remind them in advance, "Your birthday is coming soon, do you want to prepare a little surprise?". This allows the terminal jewelry 2 to achieve proactive companionship, transforming from passive command response to proactive care reminders, making the interaction more personal, enhancing the user's emotional dependence and long-term companionship experience.

[0060] Supports long-term memory and emotional resonance in companion-style chat. In actual implementation, the personalized interaction profile of cloud server 3 will remember the user's interaction history, personal preferences, and daily life details, such as the user's hobbies, recent worries, happy events, and information about family and friends. The artificial intelligence model 302 will combine this memory information with the user's real-time emotional state to engage in natural companion-style chat. For example, when the user shares happy things, the necklace will praise and empathize with the user's topic, allowing the user to feel a joyful resonance; when the user confides their worries, the necklace will listen patiently and offer comfort, achieving emotional resonance with the user; during casual conversations, the necklace will develop topics based on the user's interests, making the chat more engaging. At the same time, the model will ensure the continuity of the chat based on the memory of the personalized interaction profile, such as remembering things the user mentioned before to avoid repeating questions. This makes the terminal jewelry 2 an intelligent companion with long-term memory, making the interaction more coherent and personalized, deeply meeting the user's emotional needs for jewelry, and achieving true emotional resonance.

[0061] Four types of personalized feedback information can be implemented individually or in combination. The artificial intelligence model 302 of the cloud server 3 will dynamically generate corresponding feedback information based on the user's interaction scenario, emotional state and personal preferences. This allows the intelligent interaction of the terminal jewelry 2 to go beyond simple functional command responses and achieve personalized interaction that combines cultural, emotional and companionship aspects. This solves the problems of existing smart jewelry being too tool-like, having low levels of intelligence, and failing to meet users' emotional needs.

[0062] Based on the same general inventive concept, this invention also protects a smart jewelry interaction method, applied to terminal jewelry, comprising: Collect interaction information from users who wear the device; Send the interactive information to the cloud server; It receives personalized feedback information from the cloud server that matches the jewelry interaction scenario. The personalized feedback information is generated by the cloud server based on the processing of interaction information using an artificial intelligence model. Provide personalized feedback to the wearer.

[0063] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0064] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0065] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent jewelry interaction system, characterized in that, include: The terminal ornament is a decorative wearable item, equipped with an information collection module and an information output module; A cloud server that communicates with the terminal jewelry; The information collection module is used to collect interaction information from the user wearing the device. The cloud server is equipped with an artificial intelligence model to process the interactive information and generate personalized feedback information that matches the jewelry interaction scenario. The information output module is used to output the personalized feedback information to the wearer. The artificial intelligence model is trained based on a basic large language model and combined with jewelry interaction scenarios.

2. The intelligent jewelry interaction system according to claim 1, characterized in that, The cloud server includes an intelligent routing and load management module, used for: Based on the data type and business scenario of the interactive information, the corresponding artificial intelligence model is dynamically scheduled for processing, wherein the business scenario includes at least one of voice dialogue, image recognition and personalized recommendation.

3. The intelligent jewelry interaction system according to claim 2, characterized in that, The artificial intelligence model includes a large language model that has been adapted to specific scenarios. The contextualized adjustment is achieved by training the large language model using a dataset that includes cultural semantics related to the jewelry, emotional expression corpus, and multi-turn dialogues, thereby controlling the output of the large language model to match the anthropomorphic interaction style of the decorative wearable item.

4. The intelligent jewelry interaction system according to claim 1, characterized in that, The cloud server also includes personalized interaction profiles linked to the user's identity, used to record interaction history and user preferences; When the artificial intelligence model generates the personalized feedback information, it integrates the personalized interaction profile to optimize the feedback information so that it possesses continuous personalized characteristics and emotional expression.

5. The intelligent jewelry interaction system according to claim 1, characterized in that, The information acquisition module and the information output module are configured in concert to achieve multimodal emotional interaction; The information acquisition module includes a microphone and / or a camera, used to acquire voice information containing emotional tone and / or image information containing the user's environmental status; The information output module includes a speaker for outputting voice feedback containing emotional context and light effect sequences expressing emotional states.

6. The intelligent jewelry interaction system according to claim 1, characterized in that, The terminal accessory also includes an information encoding module and an information decoding module; The information encoding module is used to process the interactive information and convert it into a data format suitable for transmission. The information decoding module is used to decode the personalized feedback information and convert it into an output format adapted to different information sources.

7. The intelligent jewelry interaction system according to claim 1, characterized in that, It also includes a wireless communication module, which is used to send the interactive information to the cloud server and to receive the personalized feedback information.

8. The intelligent jewelry interaction system according to claim 1, characterized in that, The terminal ornament is constructed as at least one of the following: necklace, ring, brooch, hairpin, bracelet, and pendant.

9. The intelligent jewelry interaction system according to any one of claims 1-8, characterized in that, The personalized feedback information includes at least one of the following: Fortune telling metaphors and emotional advice based on natural language dialogue; Proactive explanation of cultural allusions based on environmental visual recognition; Proactive care reminders based on user behavior and time context prediction; Supports long-term memory and emotional resonance in companion-style chat.

10. A smart jewelry interaction method, characterized in that, Applications in end-use jewelry include: Collect interaction information from users who wear the device; The interactive information is sent to the cloud server; Receive personalized feedback information from the cloud server that matches the jewelry interaction scenario. The personalized feedback information is generated by the cloud server based on the interaction information processed by an artificial intelligence model. The personalized feedback information is output to the wearer.

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