213 results about "Elderly care" patented technology

The invention relates to the technical field of old-age care monitoring, and discloses an intelligent old-age care monitoring method and system based on wearable equipment. According to the method, original physiological data such as heart rate signals, oxyhemoglobin saturation and body movement frequency are collected through a plurality of wearable devices, multi-modal feature extraction is conducted on the original physiological data, and a physiological feature vector set is generated. A to-be-analyzed health event sequence containing a periodic abnormal mode and a non-periodic burst mode is screened out, and a health knowledge base is called to retrieve a matched candidate health event entry set. And inputting the two health events into a health event aggregator for cross-modal semantic fusion analysis, generating a health event decision coding matrix, obtaining an intervention measure instruction set for each health event to be analyzed through hierarchical decoding, and finally generating a response operation queue executable by the pension monitoring terminal. According to the method, the health condition of the old people can be comprehensively and accurately monitored, intervention measures can be timely and effectively provided, and the quality and efficiency of old-age care monitoring are greatly improved.

The invention discloses an intelligent community health care monitoring system based on cloud computing, relates to the technical field of intelligent community health monitoring, and aims to solve the problems of difficulty in multi-source heterogeneous data fusion, insufficient real-time performance and remarkable service response delay. The system comprises a multi-modal data acquisition terminal, a data fusion and preprocessing gateway, a core intelligent analysis engine and an interactive response terminal, and efficient and accurate health monitoring and early warning are realized through standardized fusion of multi-source data and behavior pattern recognition and hierarchical risk assessment based on deep learning. And the pension service response efficiency and reliability are obviously improved.

The invention relates to an aging-suitable transformation recommendation method and system, electronic equipment and a storage medium, and relates to the technical field of smart pension, and the transformation recommendation method comprises the steps: obtaining the temperature and humidity in a living room and a living room state diagram, and collecting the appearance form, the placement position, the home use frequency and the home use duration of home articles displayed in the living room; judging the home damage level by adopting a home full-life monitoring model; acquiring physiological index data of the supervised object, and generating a home life table; according to the household damage level and the living room state diagram, generating aging-suitable transformation reminding information, determining household article transformation requirements of the supervision object in combination with a household life table, and sending the household article transformation requirements to the supervision subject; generating a household position adjustment graph based on the household article transformation demand and the placement position; generating a novel home recommendation table according to the home article transformation demand and the appearance form in combination with the home market data; the living safety and life quality of the supervised object are improved, and the evaluation effectiveness of the aging degree of the household articles is improved.

The invention relates to the technical field of smart old-age care, and discloses a personalized information rehabilitation task generation method, which comprises the following steps: acquiring rehabilitation data of old people in a nursing home and interaction data of visitors to form basic data; based on the rehabilitation data and the interaction data, constructing comprehensive portraits of the old and the visitors; comprehensive features of the comprehensive portrait are extracted, and initial task matching is carried out in a rehabilitation task library; performing multi-target weighted calculation on the initial tasks based on the old and visitors to obtain matching degrees corresponding to the initial tasks, and selecting three tasks from high to low according to the matching degrees as selection tasks; the senior side and the visitor side perform satisfaction scoring on the selected task, and the task with the highest comprehensive satisfaction is selected as a final rehabilitation task; the optimal rehabilitation task is generated through multi-target weighted calculation and a bidirectional scoring mechanism, dynamic accurate matching and safety intensity control are achieved, and the method has the advantage that the matching accuracy and safety of the rehabilitation task are improved.

The invention discloses a multi-mode home-based care health monitoring method and system based on voice interaction suitable for aging, and belongs to the technical field of smart care and health monitoring. According to the system, physiological data of an intelligent ring (M1), behavior data of a home environment sensor (M2) and equipment state monitoring information are fused, wherein the behavior data comprise a water / electricity / gas meter and an emergency pager which are wirelessly transmitted by zigbee, a button type noctilucent coating is larger than or equal to 0.5 mm, and buzzing is 60-70 dB after triggering. And a health management closed loop without APP operation is realized through aging-suitable voice interaction (supporting more than eight dialects and wake-up word custom). The core method comprises multi-source data acquisition, six-dimensional health assessment, multi-dimensional risk grading and grading service response, the problems of single data, insufficient aging adaptability, service disjunction and the like of existing equipment are solved, the high-risk identification accuracy rate reaches 93%, the emergency call response time is shorter than 90 seconds, and the method is suitable for home-based care scenes of old people living alone or both, and has a wide application prospect. And the monitoring safety and convenience are obviously improved.

The application relates to the field of old-age care equipment, and discloses a state recognition navigation recommendation method based on artificial intelligence and an old-age terminal device. The method comprises the following steps: acquiring terrain features, speed features, gait features and physiological features of a user in multiple walking trips when the user uses an intelligent walking stick, and acquiring map information and a walking destination of the user; wherein the terrain features, the speed features and the gait features are detected by a motion detection component of the intelligent walking stick; through a state recognition-navigation recommendation model, a navigation route and a walking guidance suggestion of the user in the next walking trip are determined according to the terrain features, the speed features, the gait features, the physiological features, the map information and the walking destination in the multiple walking trips; and the walking guidance suggestion comprises matters needing attention information when the user walks. The application can identify and detect the physical state of the old people and improve the nursing effect on the old people.

This application provides a method, apparatus, electronic device, and storage medium for determining responses to questions, belonging to the technical field of question response determination, and applicable to scenarios in financial, medical, health, and elderly care insurance application systems. The method includes: responding to a question input by a user, performing semantic and compliance constraints on the question, and generating a structured control vector corresponding to the question; inputting the structured control vector into multiple perturbation decoding heads, and generating candidate response sequences corresponding to the business semantic distribution of the question and each perturbation decoding head based on the structured control vector; wherein the business semantic distributions of the multiple perturbation decoding heads are different; and determining the target response sequence for the question based on the candidate response sequences. This application improves the diversity and accuracy of responses by constructing a structured control vector through pre-generation semantic and compliance constraints, and by generating candidate responses in parallel using perturbation decoding heads with differentiated business semantic distributions.

A system is provided.SOLUTION: What is claimed is: A system comprising: user interface means for a user to enter data and review an elderly care plan or medical record; communication means for transmitting the data to a server; database means for the server to store and manage the data; and communication means for the server to transmit the data to the user interface means.SELECTED DRAWING: Figure 1

The embodiment of the invention provides a model training method and device based on visual variants, equipment and a medium. The method relates to a sample processing technology, is applied to the financial field and the medical care field, and comprises the following steps: obtaining an original image, generating an original title based on the original image, extracting a corresponding object segmentation mask, and obtaining a corresponding variant title to generate a visual variant image; generating an image set according to the original image and the visual variant image, obtaining detection illusion question information and real answer information of the corresponding image in the image set, and generating a question-answer pair; and performing consistency verification on each question and answer pair according to a plurality of preset visual language models, generating a visual instruction data set, and finishing training of the visual language model to be trained by utilizing the visual instruction data set. A universal solution is provided for the fields of finance, medical treatment and the like with extremely high reliability requirements, and the performance limitation of a traditional text optimization strategy is broken through through essential improvement of the visual understanding ability.

The invention relates to the technical field of emergency response, in particular to an intelligent old-age care service and emergency response system and method. The method comprises the following steps: collecting multi-source real-time data of a target person, extracting behavior characteristics, dividing a current behavior type, marking abnormal data, identifying the current behavior characteristics and generating a report; setting multi-level trigger conditions according to the behavior feature recognition report, generating corresponding-level emergency judgment requests, judging emergency situations through multi-dimensional fusion logic and outputting emergency judgment results; a risk-service matching mechanism is constructed according to an emergency judgment result, multiple subjects are linked, early warning and observation conditions are dynamically tracked, and services are adjusted; the system comprises a current behavior feature recognition module, an emergency judgment request module and a service providing and emergency response module. The current data is subjected to behavior feature recognition, the emergency situation judgment request is triggered according to the recognition result, and then emergency response and corresponding service providing are performed, so that the emergency response efficiency of smart pension is improved.

The present application relates to the technical field of intelligent pension robot control, and discloses a task adaptive management system of a pension robot, which comprises a multi-modal task access module, an old person portrait and multi-source sensing module, an adaptive task decision engine, a local pension robot execution terminal, a task closed-loop feedback optimization module and a cloud-based pension management and control platform; the multi-modal task access module is connected with the adaptive task decision engine; the adaptive task decision engine is connected with the local pension robot execution terminal; the local pension robot execution terminal and the adaptive task decision engine are both connected with the task closed-loop feedback optimization module; and the cloud-based pension management and control platform and the adaptive task decision engine are in bidirectional communication. The management system has the advantages of realizing task dynamic addition, postponement, replacement, queuing, splitting and collaborative shunting on demand, and solves the problems of existing pension robots, such as task fixation, poor emergency response, insufficient personalization, low fault tolerance for environmental changes and chaotic multi-machine cooperation.

The invention discloses an ethical decision chip for a home-based care service robot, the robot and an ethical risk prevention and control method. The chip comprises a scene identification module which identifies a service scene and a risk level; the hierarchical ethical rule storage module is used for storing an ethical rule system expressed in a quantization parameter form; the ethical rule engine is used for calling quantitative parameters to carry out multi-target ethical tradeoff calculation and blocking the highest emergency risk starting instruction filtering feature library; and the ethical auditing module is used for encrypting and storing decision process data. The invention further provides a robot comprising the chip and a prevention and control method based on the chip. Physical isolation of ethical constraint and task processing is achieved through independent hardware, abstract ethical values are converted into quantifiable technical parameters, scene self-adaption grading prevention and control are achieved, the technical problems that ethical rules cannot be quantified, the decision making process is opaque and the like are solved, and the ethical safety level of the robot is improved.

The invention provides a personalized voice cloning accompanying robot system and method based on a large model, and relates to the technical field of artificial intelligence voice interaction and emotion computing, the system comprises an end side and a cloud end, and the method comprises the following steps: collecting a user voice sample, and carrying out preliminary feature extraction; finely adjusting the TTS model by adopting a feed-shot learning algorithm to generate personalized sound; inputting multi-modal data to an emotion fusion LLM engine, and outputting a response text with an emotion tag; voice response is synthesized through local reasoning; and outputting a voice response. According to the method, the problems of low cloning accuracy, insufficient emotion fusion, high privacy risk, high response delay and the like of an existing voice cloning technology in an accompanying robot are solved, and high accuracy (gt; 95%) few sample cloning, emotional response generation, end-side privacy protection and low latency (lt; and the applicability of the accompanying robot in children education and elderly nursing scenes is improved.

This invention relates to the field of nursing equipment, and more particularly to a mobile intelligent bathing device for elderly care, comprising: a movable base plate with casters at its bottom for supporting the device for movement; a shower chamber fixed to the upper part of the movable base plate; an extension chamber fixed to one side of the shower chamber, the top of which is provided with a cover plate, and the extension chamber having a clean water chamber and a wastewater chamber respectively; a support unit including a set of supports symmetrically arranged on both sides inside the shower chamber; a chest cleaning section including a mounting plate folded and installed between elbow pads on both sides; and a back cleaning section including a fixing plate fixed to the inner wall of the shower chamber. This invention has a compact overall structure, complete functions, strong protection, and is easy for the elderly to use. It is suitable for various environments such as homes, nursing homes, and hospitals, and can help the elderly achieve efficient showering and skin care for their chest and back.

The invention relates to the technical field of access control, can be applied to financial science and technology and medical health old-age service scenes, and discloses a dynamic authentication method, device, equipment and medium, and the method comprises the steps: when a target engine is initialized, creating an authentication session through the target engine to replace a standard session of the target engine; if the authentication session receives a target statement which is sent by a client and is associated with a target database, the target statement is intercepted and analyzed through the authentication session to obtain context information, and the target database is a database associated with the target engine; generating an authority verification request based on the context information, and sending the authority verification request to the target database for verification; and if the permission verification request is passed, allowing the target statement to continue to be compiled. The target engine can be prevented from directly accessing the database, and the safety is improved.

This application provides a camera tracking control system and intelligent care device, belonging to the field of intelligent elderly care technology. The system includes a motion drive module, a posture sensing module, a face recognition module, and a controller communicating with these three modules. The posture sensing module outputs corresponding drive signals based on the left and right displacement of the human body. The face recognition module outputs a stop signal after recognizing a face. The controller drives the camera to adjust its position according to the human body's movement, locking and recording upon face recognition. The camera tracking control system and intelligent care device provided by this invention can achieve fully automatic tracking and recording of the elderly, solving the problem of blind spots that are common with fixed cameras, effectively improving the reliability of home-based elderly care, and reducing the cost of manual care.

This utility model discloses a nursing bed for the elderly with an assisted sitting function. Through innovative design, it enhances convenience and safety. The bed frame adopts a hinged structure, which can flexibly adjust the angle to meet the needs of sitting up. The left end of the bed frame is equipped with an electric push rod, which can be activated by the button on the armrest to push the bed board to flip and achieve independent sitting up. The footboard can be adjusted laterally and is fixed by connectors to provide stable support and prevent slippage. The ingenious design of the connectors makes adjustment and fixation more convenient. This nursing bed solves the problem of inconvenient operation of existing products and significantly improves the elderly's self-care ability and comfort.

This invention relates to a system for identifying and managing abnormal behavior in the elderly based on smart elderly care terminal devices, specifically in the field of abnormal behavior recognition. By effectively fusing visual and radar information through cross-modal attention alignment, it overcomes the limitations of single sensors in complex home environments such as obstruction and low light, thereby improving the robustness of data acquisition. The adopted joint training paradigm of mask reconstruction and contrastive learning drives the model to learn general behavioral representations invariant to environmental disturbances, enhancing the model's generalization ability. Utilizing spatiotemporal graph modeling and prototype contrastive quantitative learning, it can accurately capture and distinguish subtle differences in movements, achieving high-precision, fine-grained abnormal behavior recognition. Through a teacher-student framework and a personalized adaptive update mechanism, the model can continuously adapt to the user's unique behavioral patterns and mitigate concept drift, ultimately significantly reducing false alarms and false negatives, providing reliable, long-term, and personalized safety monitoring for the elderly.

This invention provides a method for providing handicraft-based elderly care services to seniors living at home in the community using natural materials. The method includes a material pretreatment module, an age-friendly handicraft production module, a closed-loop service process module, and a business closed-loop module. The material pretreatment module is used to ensure the safety of natural materials. The age-friendly handicraft production module and the closed-loop service process module construct a six-step closed-loop service system covering senior ability assessment, handicraft instruction and companionship, artwork display, psychological feedback, and financial settlement. The business closed-loop module establishes a sustainable business model. This invention solves the problems of material safety risks, fragmented service processes, and the lack of age-friendly and economically beneficial aspects of handicraft-based elderly care business models in existing technologies. It has the advantages of improving operational safety, promoting full participation of seniors, providing comprehensive community-based elderly care service support, and empowering seniors economically, thereby reducing the cost of elderly care.

The invention relates to the technical field of elderly nursing, in particular to an elderly nursing shower assist device which comprises a rotating disc, a plurality of first hinge seats which are integrally formed and connected are arranged on the side wall of the rotating disc, a movable adjusting mechanism is hinged to each first hinge seat, and each movable adjusting mechanism comprises an upper connecting rod hinged to the corresponding first hinge seat. First rotating shafts are movably inserted into the lower ends of the upper connecting rods, lower connecting rod assemblies which are symmetrically arranged are hinged to the lower ends of the upper connecting rods, each lower connecting rod assembly comprises an upper U-shaped piece and a lower U-shaped piece which are symmetrically arranged, a lower connecting rod is arranged between each upper U-shaped piece and the corresponding lower U-shaped piece, and rotating rings are connected to the two ends of each lower connecting rod; the rotating rings are correspondingly positioned in the upper U-shaped piece and the lower U-shaped piece; the flexibility and safety of the shower assist device are improved, old people can conveniently sit and move to take bath goods, the phenomena that the gravity center is unstable and a seat moves, sideslips and turns over are avoided, massage is achieved while back rubbing is conducted, multiple functions are achieved, and practicability is achieved.

This invention discloses a multimodal interactive interface design method for elderly care robots, relating to the field of intelligent elderly care. The method includes: collecting user facial images, voice signals, and touch operation information to form a raw multimodal data stream; processing the raw multimodal data stream to extract standardized user real-time state feature vectors; inputting the user real-time state feature vectors and historical interaction data into a support vector regression model; obtaining the real-time cognitive load level based on the user's real-time state feature vectors in the current session; and analyzing the rate of change of user touch operation accuracy within a time window using historical interaction data, calculating the acceleration value of capability change and the trend of touch operation accuracy, and fusing them to derive the interaction abstraction level. This invention constructs a joint decision matrix sensitive to the acceleration of capability change, dynamically triggering an adaptive interaction strategy when accelerated capability decline is detected, driving the interface engine to adjust interface rendering and multimodal guidance in real time.

This invention discloses a method, device, and storage medium for directional device identification and control based on vision and spatial perception, belonging to the field of intelligent control and human-computer interaction technology. The method is applied to portable terminals, achieving "point-and-shoot" by using a coaxially integrated laser and camera module to acquire target images containing laser pointer spots. To address the identification challenges caused by differences in target object size and distance, the method proposes multi-scale adaptive region extraction, generating and matching multiple candidate regions centered on the laser pointer spot. Simultaneously, to eliminate control ambiguities for similar devices in different rooms, the method innovatively utilizes smart home device nodes in known locations within the environment as Bluetooth beacons, achieving zero-deployment-cost collaborative spatial perception and obtaining the terminal's precise spatial location. Finally, by jointly querying and adjudicating the visual recognition results and spatial location information, the target device is uniquely identified and control commands are generated. This invention achieves intuitive interaction with zero learning costs, solving the problems of complexity and confusion in traditional control methods. It has advantages such as accurate identification, fast response, simple deployment, and privacy security, making it particularly suitable for smart home and smart elderly care scenarios.

The invention provides a CCRC-based health monitoring system and application, and the system comprises a pension service community, the pension service community comprises a smart community platform, a medical platform and a health management platform, and the smart community platform is used for providing community services for users; the medical platform is used for providing medical services for users; the health management platform is used for monitoring and managing the health of a user, the intelligent community platform comprises property management, emergency rescue and community communication, and the property management provides home-based care service. By arranging the seat assembly, a site for a user to sit can be provided for the user, the legs of the user can be exercised and have a rest while being matched with the pedal assembly for use, by arranging the connecting mechanism, the pedal assembly can be detached and matched with assembling of the connecting mechanism, the pedal assembly can be changed into a resistance assembly, and therefore the user can take a rest conveniently. Resistance is increased for the conveyor belt.

This application provides a target autonomous tracking method and device, a medical and elderly care robot, and a storage medium, belonging to the field of robot target tracking technology. The method includes: determining the target state of a target person based on multimodal perception data; if the target state is lost, obtaining target tracking time-series data based on the multimodal perception data; acquiring first and second historical tracking time-series data of the target person; obtaining fused time-series data based on the first historical tracking time-series data and the target tracking time-series data; obtaining the target person's activity area preference features and movement path preference features based on the second historical tracking time-series data; determining the target's lost location based on target location data; and predicting the target's movement path based on the activity area preference features, movement path preference features, the target's lost location, and the fused time-series data. This application can improve the stability of target tracking and the efficiency of target retrieval after loss.

This invention relates to the field of intrinsic ability prediction technology and discloses a method for predicting the intrinsic ability characteristics of the elderly based on machine learning. First, intrinsic ability score data of the elderly in five dimensions, including cognition and psychology, are acquired, and heterogeneity classification is performed using latent profile analysis. Using the classification results as labels, random forest and LASSO regression are used in parallel to screen key predictive factors to form a feature subset. A classification prediction model is built based on XGBoost, and hyperparameters are optimized through cross-validation and grid search. The SHAP and LIME algorithms are integrated to achieve both global and local interpretability. Finally, the model is deployed on an online interactive platform, where inputting individual characteristics outputs the IC propensity classification, probability, and feature contribution explanation. This invention achieves accurate classification and interpretable prediction of the intrinsic abilities of the elderly, reduces the dependence of assessment on professionals and the environment, and is suitable for large-scale application in grassroots elderly care scenarios.

This invention relates to the technical field of smart elderly care and artificial intelligence human-computer interaction, specifically to a method and system for generating a safe digital avatar for elderly-friendly health monitoring. The method includes: acquiring text features, audio features, and image features; establishing a role-playing dialogue model based on text features, and generating dynamic video based on audio and image features; collecting real-time audio and video streams from elderly users and extracting multimodal perception data from the audio and video streams; generating a response video stream; playing the response video stream to the user, obtaining user feedback, and forming the current interaction record; updating the role-playing dialogue model when the number of new interaction records accumulates to a preset threshold; and responding to the elderly user's interactions based on the updated role-playing dialogue model and dynamic video, providing a response video stream. Through the aforementioned closed-loop continuous training mechanism, this invention enables the digital avatar to continuously evolve with long-term interactions, significantly improving the personalization and emotional continuity of companionship.

This invention discloses an intelligent elderly care bed, relating to the field of medical device technology. The invention includes a bed frame, a high-precision pressure sensor array mounted on the bed frame, a processor, and an early warning module. The processor is coupled to the high-precision pressure sensor array and the early warning module. The processor is used to: identify the user's preset actions based on the pressure distribution time-series data collected by the high-precision pressure sensor array; and integrate the pressure center trajectory characteristics and pressure distribution evolution characteristics during the execution of the preset actions. This invention achieves objective and sensitive continuous assessment of the user's motor abilities through multi-dimensional quantification and personalized dynamic comparison of action execution quality. It can effectively capture early signs of muscle weakness, pain, or decreased balance, thereby upgrading health monitoring from passive event alarms to a proactive early warning system with risk foresight and continuous management.

The invention relates to the technical field of voice interaction, and discloses a voice interaction model optimization method and device, equipment and a medium, and the method comprises the steps: receiving a privacy enhancement parameter set from a plurality of terminal equipment; wherein the parameters in the privacy enhancement parameter set are obtained by sequentially performing screening and privacy protection processing on model parameters in the voice interaction model by the terminal equipment; performing cross-terminal knowledge fusion on the privacy enhancement parameter set to obtain a global teacher model; performing forward calculation on the preset reference data set by using the global teacher model to generate a soft label containing probability distribution information; and issuing the soft label to a terminal device, thereby enabling the terminal device to perform distillation optimization on the voice interaction model based on the soft label, and obtaining an optimized voice interaction model. The method can be applied to financial science and technology or medical care service program systems, and can improve the understanding accuracy, scene adaptability and privacy protection intensity of the intelligent voice interaction model.

The invention discloses a deformable intelligent wheelchair robot for old people, and relates to the technical field of medical instruments and rehabilitation engineering, base wheels are arranged at the lower end of a base, a human body supporting frame is movably mounted on the base, and the two ends of a base adjusting module are connected with the base and the back face of the human body supporting frame correspondingly; the base adjusting module can drive the human body supporting frame to rotate relative to the base under the control of the control module, the seat back cushion is installed on the human body supporting frame and used for making contact with and supporting the head and the trunk of a user, and the leg supporting frame adjusting module is installed on the back face of the human body supporting frame and used for adjusting the leg supporting frame. The leg supporting frame can drive the legs of the human body supporting frame to rotate relative to the main body part of the human body supporting frame under the control of the control module, and the power module is used for providing electric energy. According to the multifunctional wheelchair, people who are inconvenient to move can move, meanwhile, the sitting, standing and lying functions are achieved, and functional diversity of the wheelchair is achieved.

The invention relates to a bionic sports ground mat and a preparation method and application thereof, a surface layer is a PVC surface layer or a TPU surface layer, the surface layer is coated or pasted with an ACF material, and the ACF material is prepared by mixing a component A and a component B; or the component C and the component B are mixed to prepare the ACF material; and the molar ratio of hydroxyl groups in the component A or the component C to isocyanate groups in the component B is 100: (97-103). The bionic sports ground mat is applied to sports field protection, child activity area protection or elderly care field ground protection. When the bionic sports ground mat is applied to sports field protection, the bionic sports ground mat does not affect the rebound rate of a basketball while achieving energy absorption protection. The core advantage of the bionic sports ground mat is that the brush-shaped side chain structure of the ACF material and the gas-solid coupling foaming structure synergistically form nonlinear mechanical response characteristics, so that the bionic sports ground mat can be accurately adapted to sports fields and core protection scenes of child activity areas, and protective performance and sports special performance (such as basketball resilience) can be considered in the sports field scenes.