27 results about "Life events" patented technology

The invention provides an intelligent virtuality and reality combined psychological health service device based on digital elements, and aims to improve the accuracy and individuation level of psychological health management. The device firstly obtains the physiological indexes, behavior data, environmental factor data and social economic data of an individual, and carries out multi-modal fusion to form comprehensive feature data. Based on this, a psychological health environment factor model is constructed to quantify the influence of the external environment on the individual psychological state, and the calculation weight and prediction logic of the negative emotion large model are optimized. And the optimized negative emotion large model is used for identifying an individual emotion state, analyzing factors such as social environment, economic pressure and life events in combination with the mental health environment factor model, and generating an individual mental health assessment result. And according to an evaluation result, the virtual digital doctor provides intelligent pre-inquiry and other services. Through data-driven intelligent analysis and virtual-real combined intervention means, the accessibility, accuracy and intervention effect of psychological health services are improved.

A conversational artificial intelligence (AI) system is configured to engage in a multi-turn conversation with a user. The multi-turn conversation is substantially focused on a target topic. A conversation analyzer analyzes the multi-turn conversation to detect and store at least some turns in the multi-turn conversation that deviate from the target topic and instead characterize life attributes of the user. A knowledge graph constructor builds a knowledge graph for the user based on at least some turns in the multi-turn conversation that characterize the life attributes of the user. The knowledge graph translates the life attributes of the user into the user's life biography, including life chronology, life preferences, life milestones, life events, or any combination thereof. A knowledge graph applicator uses parts of the knowledge graph in a subsequent multi-turn conversation with the user by contextually interspersing portions of the user's life biography in the subsequent multi-turn conversation.

The invention discloses an emotion intervention system and device based on a reminiscence therapy, and belongs to the technical field of mental health intervention and intelligent medical equipment. The device comprises a stimulation presentation subsystem, a physiological signal collection subsystem, a behavior response recognition subsystem, a neural response modeling subsystem, an intervention effect evaluation subsystem and a central control and feedback regulation subsystem, a closed-loop intervention framework is formed through real-time communication bus interconnection, and by presenting an individualized life event image set, multi-modal physiological signals and behavior responses are synchronously collected, so that the intervention effect is evaluated. A neural response model is constructed based on a brain region abnormal activation mode disclosed by functional magnetic resonance imaging, the activation level of a target brain region is predicted, the intervention effect is evaluated by integrating multiple indexes, and a central control system dynamically adjusts a stimulation sequence according to an evaluation result and a neural response predicted value by applying a hierarchical reinforcement learning algorithm. Personalized and precise emotion intervention aiming at the subclinical depression state is realized, and the intervention effect and the nerve regulation pertinence are effectively improved.

The invention discloses a family life event atlas construction method and system based on cooperation of multiple intelligent computing engines, and relates to the technical field of knowledge atlas construction.The method comprises the steps that a family environment continuous audio stream is collected through an end side, effective fragments are screened through voice activity detection, and original audio is destroyed after acoustic feature vectors are extracted; and then a plurality of parallel intelligent calculation engines respectively recognize non-language environment sounds, emotion and voiceprint identities, semantics and potential intentions, a standardized family event object is generated through multi-modal fusion, the standardized family event object is stored in an independent research and development data warehouse of a time sequence + graph mixed framework, a family life knowledge graph is constructed, and finally graph changes are monitored through an inference engine, so that the family life knowledge graph is obtained. And actively triggering home equipment adjustment or pushing suggestions. According to the invention, active perception and semantic understanding of family events are realized, the risk of privacy disclosure is avoided, and the problems of passive response, data islands and privacy safety hidden troubles of the existing smart home are solved.

The application discloses a resident health intelligent analysis method and system based on big data. The method comprises the following steps: acquiring historical data of multiple health indexes of residents and performing time alignment and cleaning, presetting a sliding window to calculate short-term fluctuation degree, obtaining a trend baseline, and combining the short-term fluctuation degree to generate a health trajectory deviation trend. Key life events are mapped into event impact vectors, and the health trajectory deviation trend is combined into a fusion deviation trend vector. A historical state vector is constructed based on historical data, short-term fluctuation degree, health trajectory deviation trend and event impact vector, a forgetting strategy is used to update the state vector, an individual health risk is output by inputting a time series prediction model, and hierarchical early warning is performed, thereby effectively improving the accuracy and timeliness of health risk prediction. Through the technologies of event impact, state vector, time series model and hierarchical early warning, the application significantly improves the accuracy and timeliness of health risk prediction, and realizes efficient closed-loop management of monitoring and intervention.

The application discloses a mouse vitiligo induction model based on chronic stress factors, wherein different kinds of stress factors capable of triggering stress response of animals are applied to stimulate the mouse periodically within a certain time period, so as to prevent the mouse from producing habitual response to the stress source and to promote the mouse to become white and the tail epidermis to be flaky. The technical method is different from the existing vitiligo model method, is based on the mechanism of occurrence and development of vitiligo observed in the clinic, and promotes the mouse to truly develop the vitiligo phenomenon from the whole instead of simulating the disease evolution locally. Compared with the existing vitiligo promoting mechanism, the effect is more stable and the authenticity is higher. The technical method is based on the objective fact that the clinical vitiligo patients often combine anxiety and depression to design the stress factors, and considers that the stress factors and the occurrence and development of vitiligo may be inter-caused and viciously circulate, namely, the adverse life events as the stress factors cause the damage and dysfunction of the melanin synthesis system at the micro level and form the vitiligo change at the macro level.

The system according to this embodiment aims to comprehensively manage procedures and tasks and provide accurate instructions during important life events such as weddings, funerals, and emergencies. [Solution] The system according to the embodiment comprises a management unit, an instruction unit, and a generation unit. The management unit manages the procedures and tasks for each life event. The instruction unit provides accurate instructions to the user based on the procedures and tasks managed by the management unit. The generation unit generates specific procedures and necessary documents based on the instructions provided by the instruction unit.

A system is provided.SOLUTION: A system comprising: means for inputting gender, age, occupation, and family structure of a user as basic information; means for transmitting data in which the basic information is input to a server; means for storing the basic information in a database; means for inputting life event information of the user; means for transmitting the life event information to the server; means for storing the life event information in the database; means for analyzing the basic information and the life event information; means for notifying the user of the generated proposal content; and means for displaying the proposal content on a user terminal.SELECTED DRAWING: Figure 1

The invention relates to social networks, and more specifically to the use of data contained in a social network to target elements to a user of the social network system based on a predicted life event associated with the user. In a system and computer-implemented method of informing social network users about events in the life cycle of target users through computer software, which includes entering into such software data about the target user and any selected events in their life, as well as data about a set of users connected via a computer network with this target user, performing data calculations, determining, predicting, and informing about the occurrence of a target user's life event date, according to the invention, the life cycle of the target user is divided into intervals in the form of time units, the date of a life event is determined in a selected combination of any time units, and the informing about a life event is carried out in the time dimension relative to a life event that has occurred or is to occur, by displaying on the screen a message in the selected time units.

The present application relates to the technical field of deep learning, in particular to a smart disconnecting switch life cycle defect early warning system. The system comprises a life event construction module, a life stage constraint module, a deep learning time sequence prediction module, a defect evolution constraint module and a hierarchical alarm module; the commissioning acceptance, opening and closing actions, operation inspection, maintenance defect elimination and historical alarm records are converted into life event sequences arranged according to time, the service stage, action load, maintenance recovery and defect correlation identifier are configured, the stage deviation features are generated based on deep learning, and the defect stage results are generated in combination with the evolution correlation between mechanism jamming, contact contact abnormality, conductive loop overheating, insulation support abnormality and opening and closing misplacement. The present application makes the alarm judgment subject to the life stage, time sequence deviation and defect evolution constraint at the same time, can distinguish normal stage fluctuations, maintenance recovery process and recurrence process after defect elimination, and improves the continuity of implicit defect precursor warning and the stability of alarm level.

Methods and systems for AI-based robotic automation for persuasive referrals are provided. In a novel aspect, a robotic persuasive referral is generated based on a potential customer product-service P_PS matrix, which is generated based on predictive analysis using a DNN model and dynamically obtained feedback. In one embodiment, the DNN model is trained using customer personal profiles for associated product and service PS revenue for each customer dataset. In one embodiment, the predictive analysis uses a decision tree classifier. In one embodiment, a computer system detects one or more predefined trigger events including feedback information for the robotic persuasive referral and one or more predefined life event, updates the P_PS matrix and the robotic persuasive referral accordingly. In one embodiment, the feedback information is sentiment analysis of responses from potential customers. In another embodiment, proximate cause, frequency, and page view analysis are performed based on one or more detected life events.

Systems and methods described herein facilitate the management of personalized life information using a distributed ledger. For example, a distributed ledger system, such as one or more blockchains, may manage personalized life information of one or more individuals to, for example, determine an occurrence of a life event for a first individual based at least in part on personalized life information for the first individual, to access various types of personalized life information for the first individual in response to the determination of the occurrence of the life event for the first individual, and to provide a subset of the personalized life information for the first individual to a user device associated with a second individual.

The application discloses a large-scale Chinese painting generation interaction method based on multi-emotion recognition, which comprises the following steps: obtaining input data of a user and extracting tone prompt words in the input data; inputting the tone prompt words into a pre-trained emotion analysis model to generate corresponding emotion labels; inputting the emotion labels into a diffusion model to generate a concept picture, and performing semantic retrieval on a pre-built Chinese painting element knowledge base to screen out a historical painter and corresponding life events that are most similar to the emotion labels; using natural language generation technology to perform text fusion on the emotion labels, image information in the concept picture and the screened life events to output a final personalized interpretation text; and finally, visualizing and outputting the interaction result. The application further provides a large-scale Chinese painting generation interaction device. The method provided by the application can intelligently understand user emotions and automatically generate Chinese painting works with a high degree of artistic conception matching.

An object of the system according to the embodiment is to generate and share a moving image based on a profile of a user or a life event.SOLUTION: A system includes a profile input unit, an event input unit, a generation unit, an upload unit, and an evaluation unit. The profile input unit inputs profile information of a user. The event input unit inputs a life event of a user. The generation unit generates a moving image based on the information input by the profile input unit and the event input unit. The upload unit uploads the generated moving image. The evaluation unit receives an evaluation of the uploaded moving image from another user.SELECTED DRAWING: Figure 1

Provide a system. 【Solution means】 A user information acquisition device, A device for standardizing the user information, A device for acquiring insurance product information, A device for storing and organizing the insurance product information in a database structure, A device for matching user information and insurance product information using a generation AI and presenting an optimal insurance plan, A device for presenting the presented insurance plan to the user, A device for adjusting the insurance plan according to the user's life events, A device for performing immediate settlement through a payment processing device, A system including the above.

The system according to this embodiment aims to centrally manage communication charges and points, optimize data usage, integrate with smart home appliances, plan life events, and share information with family members. [Solution] The system according to the embodiment comprises a management unit, a point management unit, an optimization unit, a collaboration unit, a planning unit, and a sharing unit. The management unit manages communication charges. The point management unit manages points managed by the management unit. The optimization unit optimizes data usage managed by the point management unit. The collaboration unit collaborates with smart home appliances optimized by the optimization unit. The planning unit plans life events linked by the collaboration unit. The sharing unit performs family sharing planned by the planning unit.

A system is provided.SOLUTION: A system comprising: means for inputting data related to lifestyle and life events of a user; means for transmitting the input data to a server; means for analyzing the received data and generating an asset creation plan suitable for the user; means for transmitting advice generated by the server to a terminal and displaying the advice to the user; means for registering the user for a flat-rate service; means for transmitting registration information to the server and performing settlement processing; and means for linking the server with an insurance company and performing discount application and notification.SELECTED DRAWING: Figure 1

The invention discloses an intestinal tract detection method and system based on multi-modal data, and relates to the technical field of intestinal tract detection.Biochemical data of an intestinal tract is constructed according to each dominant flora, and a plurality of life characteristics are determined according to recognition of a life event; the multi-modal data is determined according to the multiple living characteristics, the biochemical data of the intestinal tract and the lesion data, and the accuracy of the multi-modal data is improved. Therefore, a plurality of intestinal data combinations are determined based on the detection of the multi-modal data, the environmental characteristics of the intestinal tract are determined according to the recognition of each intestinal data combination, and the intestinal tract distribution diagram is determined according to the plurality of environmental characteristics and the intestinal tract image of the user; according to the method, the corresponding intestinal tract abnormal area is determined based on the intestinal tract distribution diagram, the intestinal tract abnormal event is determined according to the identification of the intestinal tract abnormal area, and the abnormal living habits of the user are determined based on the tracing of the intestinal tract abnormal event, so that the accuracy of the intestinal tract distribution diagram is improved, and the abnormal living habits of the user are conveniently identified.

We provide the system. [Solution] A means of providing an interface for users to input financial information, A means of collecting input financial information and storing it in a database, A means of executing an algorithm that analyzes stored financial information to predict future financial conditions, A means of generating financial advice for users based on their predicted financial situation, A means of notifying users of advice, A means of providing reminders to users at the timing of life events, A system that includes this.

An object of the system according to the embodiment is to generate a long-term plan on the basis of basic setting information of a user and correct the long-term plan in accordance with a situation or a goal.SOLUTION: A system includes a setting information acquisition part, a plan generation part, and a plan correction part. The setting information acquisition unit acquires basic setting information of a user. The plan generation unit generates a plan related to education, house purchase, and life events on the basis of the setting information acquired by the setting information acquisition unit. The plan correction unit corrects the plan generated by the plan generation unit in accordance with the user's current situation and goal.SELECTED DRAWING: Figure 1

The invention relates to the technical field of population migration analysis, and discloses a rural population migration prediction method and system combining life events and regional data, and the method comprises the steps: obtaining individual life event data and macroscopic environment data, and carrying out the preprocessing and integration to obtain a multi-dimensional time series comprehensive data set; based on the multi-dimensional time sequence comprehensive data set, constructing a migration decision model fusing event history analysis and a multi-level model, and capturing dynamic features and multi-level interaction effects of migration decisions; a mode of combining a nested Logit model, competition trajectory analysis and life cycle analysis is adopted, and prediction results of an individual migration probability, a migration destination and a migration time node are obtained through model calculation; and constructing an intelligent agent model based on the prediction result, performing simulation, verifying prediction accuracy, simulating migration trends under different situations, and performing rural population migration prediction. The migration decision prediction capability is improved.

The invention relates to the field of card games, in particular to a self-cognition life simulation card game method which comprises the following steps: providing five groups of cards, including 30 child event cards, 30 young event cards, 30 adult event cards, 30 old-age event cards and 50 emotion feedback cards, the card problems of events at different stages are related to intrinsic psychological characteristics of different ages; three or more players jointly participate and sequentially experience children, young, adult and elderly stages, all players sequentially extract one corresponding event card for answering in each stage, other players select emotion feedback cards for self-sensing response according to answering, and a host guides exploration in the process; based on the emotion feedback cards of all rounds, generating a summary of the self-cognition mode of the player; according to the method, a complete, systematic and efficient self-exploration path is constructed through a life event answering and interactive feedback process, and an internal cognitive mode of a player is mapped.

An online wager system is provided that enables users to participate with one another in various types of wagers regarding various real-life events (e.g., regarding sporting events such as motocross racing). The system enables users to invite one another to participate in wagers through online messages and wager boards. The wagers are private and / or public and may involve wagers between a first user and a single second user and / or between a first user and a plurality of other users.

A computing server may receive genealogical records that include historical records of deceased individuals. The computing server may normalize the genealogical records into normalized genealogical records. Normalizing the genealogical records may include converting a text string of a genealogical record into a standardized format. The computing server may stitch the normalized genealogical records into a plurality of clusters. Each cluster corresponds to an individual and includes one or more genealogical records associated with the individual. The computing server may identify a life-event record that is commonly associated with a subset of clusters, the life-event record indicating that a plurality of deceased individuals are connected through a non-familial relationship in a life event documented by the life-event record. The computing server may cause a graphical user interface to display a representation of a historical network among the plurality of deceased individuals that are connected through the non-familial relationship.

The application discloses an emotion intervention system and device based on nostalgia therapy, and belongs to the technical field of mental health intervention and intelligent medical equipment. The device comprises a stimulus presentation, a physiological signal collection, a behavior reaction identification, a neural response modeling, an intervention effect evaluation, and a central control and feedback adjustment subsystem. A closed-loop intervention architecture is formed through a real-time communication bus interconnection. An individualized life event image set is presented. Multi-modal physiological signals and behavior reactions are synchronously collected. A neural response model is constructed based on abnormal activation patterns of brain regions revealed by functional magnetic resonance imaging. The activation level of target brain regions is predicted. The intervention effect is evaluated by comprehensively evaluating multiple indicators. The central control system uses a hierarchical reinforcement learning algorithm. The stimulus sequence is dynamically adjusted according to the evaluation results and the neural response prediction value. The individualized and precise emotion intervention for subclinical depression is realized. The intervention effect and the neural regulation pertinence are effectively improved.

A system is provided.SOLUTION: A system comprising: means for a user to input persona information; means for a server to store the persona information; means for the user to input life event detail information; means for the server to simulate costs associated with the life event; means for the server to extract applicable benefits systems; means for displaying simulation results and benefits information to the user; and means for the user to approve the simulation results and register application information in conjunction with a human resources system.SELECTED DRAWING: Figure 1

An object of the system according to the embodiment is to efficiently provide details of an application system related to a life plan or a life event of a family and a handling method.SOLUTION: A system includes a reception unit, a generation unit, a provision unit, and a posting unit. The reception unit inputs information of a user. The generation unit creates a chronology based on the information input by the reception unit. A providing part provides the details of the related application system and a coping method based on the chronology prepared by the generation part. The posting unit allows the user to post the information provided by the providing unit.SELECTED DRAWING: Figure 1