49 results about "Life events" patented technology

The invention relates to the technical field of service robots, and discloses an elderly care service robot based on an emotion adjustment system, and the robot comprises a multi-mode emotion recognition module which is used for carrying out the comprehensive perception of the emotional state of the elderly through combining various emotion signals of voice, facial expression and limb movement; the personalized emotion adjusting module is used for generating personalized emotion responses meeting the requirements of the old people; the emotion memory module is used for recording emotion changes, important life events and personal preferences of the elderly; the scene self-adaption module is used for sensing the living environment of the old people in real time and adjusting the emotional expression mode of the robot according to the environment information; the health intervention module is used for generating a health management scheme through long-term monitoring of the emotional state and health of the old people; and a safety monitoring module. According to the invention, the emotion state of the elderly is analyzed through the multi-modal fusion network, the emotion misjudgment probability is reduced, and the man-machine interaction experience and the emotion support effect of the elderly are remarkably improved.

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.

To propose a future plan of a user tailored to the current condition of the user without information on the future plan obtained from the user.SOLUTION: An acquisition unit acquires attribute information indicating a user and living condition information related to a living condition of the user. An expansion unit adds additional attribute information of the user by an information generation method using the acquired attribute information. An estimation unit estimates a life event that is likely to happen in the user's life and a time of the life event by using the attribute information including the added attribute information, and the living condition information of the user. An output unit outputs a life plan generated by using information of the estimated life event.SELECTED DRAWING: Figure 13

The invention discloses a resident health intelligent analysis method and system based on big data. Comprising the steps of obtaining historical data of a plurality of health indexes of residents, performing time alignment and cleaning, presetting a sliding window, calculating a short-term fluctuation degree, obtaining a trend baseline, and generating a health trajectory deviation trend in combination with the short-term fluctuation degree. The key life events are mapped into event impact vectors, and the event impact vectors and the health track deviation potential form a fusion deviation trend vector. A historical state vector is constructed based on historical data, short-term fluctuation, a health trajectory deviation trend and an event impact vector, a forgetting strategy is adopted to update the state vector, a time sequence prediction model is input to output an individual health risk, layered early warning is performed, and the accuracy and timeliness of health risk prediction are effectively improved. Through the technologies of event impact, state vectors, a time sequence model, layered early warning and the like, the accuracy and timeliness of health risk prediction are remarkably improved, and efficient closed-loop management of monitoring and intervention is achieved.

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.

A deathcare-servicing application configuration is provided. The deathcare-servicing application receives a request to create a deathcare-servicing ledger for an event related to a deceased. Based on the request, the deathcare-servicing application identifies particular data objects corresponding to the deathcare provider. Based on the particular data objects identified, the deathcare-servicing application identifies a set of items for selection by a user of the deathcare-servicing application. Responsive to a user selection of a first item of the set of items, the deathcare-servicing application identifies a particular ledger entry from a plurality of ledger entries mapped to the first item, where the particular ledger entry is identified based on other data received by the electronic device about the end-of-life event. And the deathcare-servicing application provides the particular ledger entry to the deathcare-servicing ledger, where the deathcare-servicing ledger is configured to identify information relevant to performing all of a set of deathcare-servicing software operations.

A gaming system for conducting a game includes: a gaming processing module to transform the data processor and network interface into a gaming system configured to implement a client version of a game using a virtual deck of cards, wherein each of the plurality of virtual cards comprise identifying information and real-life statistics related to a notable person's actions in real-life events; present the virtual card deck to a plurality of players with a visual aid indicative of whether the plurality of players are playing a game based on events from the past or events from the future, the visual aid including a placement or movement of the virtual card deck in a direction indicative of a game based on events from the past or events from the future; and deal, by use of the data processor, cards from the virtual card deck to the plurality of players.

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.

A system for generating an identity-based Non-Fungible Token (NFT) that uses, as a least a portion of the input file, a verified identity of the user. Once generated, the identity-based NFT is stored within a distributed trust computing network, which provides for verifying the authenticity and unalerted state of the NFT. Subsequently, the identity-based NFT can be accessed via the distributed trust computing network to verify the identity of the user. Additionally, the NFT may use other verified data as a portion of the input file, such as verified identity of users having a familial relationship with the user, verified life events, and / or verified user preferences. Further, the NFT may include one or more markers that identify a familial relationship and are configured to link the NFT to other NFTs associated with the related users.

1. The name of this design product: Bowl (Life Events). 2. Purpose of this design product: to be used as tableware. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture.

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.

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 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.

Method and systems generate optimized and online targeted messages. Various campaign criteria are provided having different advertising or marketing goals that cause the delivery of targeted messages. Messages may be generated based upon customer data, customer preferences, life events, marketing campaigns, predictive models, and / or propensity scores. For instance, messages may be sent when a propensity threshold score is exceeded indicating a high likelihood of a milestone event, which may be indicative of customer behavior or an event that is relevant to the campaign goal, thereby sending more relevant messages to customers. A milestone propensity score may be calculated using a predictive modeling algorithm having weighted data variables, which may include data provided by the customer or accessed through various sources, such as monitoring customer online interactions with their permission. Aspects also include identifying customers that match campaign criteria by comparing propensity scores to thresholds to assist marketing and advertising efforts.

A system for identifying life events for individuals based on relationships found in data. The system includes a database containing data records and fields and identifying individuals involved in each record. A supplemental source of data including location and social media data is also included. The database and the supplemental source of data are provided to a computer which executes a machine learning algorithm configured to identify life events for the individuals based on clusters in the data, where the machine learning algorithm provides output data identifying the life events, and rating values for each of the life events for each of the individuals. A communication system algorithm sends actionable communications to particular ones of the individuals based on the output data. Unsupervised learning may be used for initial system training, and supervised learning for ongoing training.

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.

A specialized slot machine for conducting a game includes: a gaming system to transform the data processor and network interface into a specialized slot machine configured to implement a client version of a game using a virtual deck of cards, wherein each of the plurality of virtual cards comprise identifying information and real-life statistics related to a notable person's actions in real-life events; present the virtual card deck to a plurality of players with a visual aid indicative of whether the plurality of players are playing a game based on events from the past or events from the future, the visual aid including a placement or movement of the virtual card deck in a direction indicative of a game based on events from the past or events from the future; and deal, by use of the data processor, cards from the virtual card deck to the plurality of players.

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.

The invention provides a systematized psychological counseling technology based on individual dream information, which is used for helping a psychological counselor to discover psychological problems of a consultant and promoting a psychological counseling process, and comprises the following contents: collecting dream information of the consultant and collecting real events; regular dream data are obtained by applying a dream arrangement technology; applying a theme discovery technology to obtain dream theme data; in combination with the regular dream data and the dream theme data, determining dream-associated reality event data by applying an event association technology; on the basis of the dream-related reality event data, a dream integration technology is used to obtain dream-based consultation guide information; by continuously applying the technology, the psychological counseling effect is promoted and tested.