1037 results about "Elderly people" patented technology

The invention discloses an old people cognitive ability assessment system and method based on multi-modal fusion, and relates to the field of old people cognitive assessment, and the method comprises the steps: firstly obtaining the current multi-modal data of a user, and fusing the current multi-modal data into a current feature vector; then, instead of being compared with the universality standard, the personal baseline portrait of the user is called, and the score of the difference degree between the current state and the historical baseline of the user is calculated; particularly, the core index of the drift speed is introduced, and the difference degree and the historical change rate are combined, so that quantitative modeling is carried out on the changed speed. By analyzing the amplitude and the speed of the change at the same time, normal aging with gentle change and low speed and pathological recession with violent change and high speed can be effectively distinguished, so that the key technical problem that the normal aging and the pathological recession are easy to be confused in the background technology is accurately solved.

The invention relates to the technical field of intelligent medical monitoring, in particular to a personalized health monitoring and early warning system for elderly people living alone fused with multi-dimensional data, and the system comprises a data collection and preprocessing module which collects multi-dimensional physiological parameter signals of a user and converts the multi-dimensional physiological parameter signals into multi-dimensional medical features; the health prediction module performs health category prediction on the multi-dimensional medical features of the current time node based on a pre-trained deep learning model, generates a data graph under each time node, and stores the data graph and a corresponding health category prediction result in a specified directory; the early warning module analyzes whether the multi-dimensional physiological parameter signals under each time node are abnormal or not in a mode of combining a hard threshold value and a soft threshold value, and if yes, an alarm is given out; and the abnormity output module calls and outputs the data maps of the preset duration before and after the abnormity alarm time node and the corresponding health categories. According to the invention, personalized monitoring and risk early warning of the health state of the elderly can be realized more accurately from multiple dimensions.

The invention discloses a method for predicting an abnormal behavior state of an elderly living at home based on digital twinning, and the method comprises the steps: obtaining a social relation network data flow and a non-intrusive energy consumption data flow of the elderly living at home, and constructing a time sequence dynamic social relation graph based on the social relation network data flow, meanwhile, a semantic activity event chain is generated based on energy consumption data flow overload decomposition, cross-modal fusion processing is carried out on the social relation graph and the activity event chain, a composite state vector is generated, and based on a time sequence of the composite state vector, the social relation graph and the activity event chain are subjected to cross-modal fusion processing; and predicting the probability of entering a preset abnormal behavior state (such as social isolation, depression tendency or decline of self-care ability) of the home elderly. According to the invention, the privacy of the user is protected through non-intrusive data acquisition, and the social communication and exclusive activity information of the elderly are fused, so that the transformation from post-event alarm to pre-event early warning is realized, a precious time window is won for guardians or service institutions to take preventive intervention measures, and remarkable social and humanistic values are achieved.

The invention discloses an old people abnormal expression recognition method based on gradient covariance analysis. The method comprises the steps of old people expression data set construction, time sequence optical flow feature-based facial expression region screening, abnormal expression enhancement loss estimation, gradient covariance-based facial expression region feature enhancement, micro-expression model training and micro-expression model testing. Aiming at the problems that the expression movement of the elderly is not obvious and the abnormal expression is easy to neglect, the facial expression key region is positioned by using the time sequence optical flow feature, the abnormal expression is introduced to enhance the loss so as to punish the leak detection condition, the back propagation gradient of the loss and the covariance thereof are calculated, and the region with larger covariance has more obvious feature change, so that the detection accuracy is improved. According to the method, facial expression region features based on gradient covariance are fully considered, key region analysis is enhanced, and the accuracy of abnormal expression recognition of the old people is effectively improved.

The invention belongs to the technical field of medical treatment, and discloses a wearable intelligent method and device for monitoring the mental health of community old people, and the method comprises the steps: collecting the physiological indexes of the community old people in real time through an intelligent chest card, and achieving the dynamic collection of multi-dimensional data; data are transmitted to the cloud platform through Bluetooth or Wi-Fi, the equipment supports a data caching mechanism, and key data are temporarily stored when connection is abnormal; a dynamic evaluation model is constructed based on AI learning, and a multi-factor decision tree model and a natural language processing NLP algorithm are combined; a group psychological health trend and an environment risk thermodynamic diagram are presented in real time through a chest card APP, main factors influencing psychological health of the old are analyzed, and community managers are assisted in making an intervention plan. By making and applying the community old people mental health monitoring and early warning model, a unified mental health assessment system is provided for old people in different states, the applicability, universality and compliance of mental assessment are improved, home rehabilitation is achieved, and the overall medical cost is reduced.

The invention relates to the technical field of intelligent old-age care and health monitoring. The invention provides a tumble detection and emergency response system for the elderly at home based on multi-modal sensing fusion, and the system comprises a sensing module which is used for collecting the multi-modal data of the elderly and at least comprises a depth camera array, an inertial measurement unit, a millimeter wave radar, an audio sensor array, and a pressure sensing pad; the decision-making module is used for receiving, synchronizing and processing the multi-modal data, comprises a dynamic confidence fusion engine and is used for calculating a dynamic confidence score for the data streams acquired by the sensing module in real time and carrying out information fusion through a collaborative game algorithm based on the dynamic confidence score of each data stream to obtain a multi-modal data fusion result; generating a fall detection decision with a situation tag; and the response module is used for executing grading emergency response operation and comprises a local alarm unit, a remote communication unit and an interface unit linked with a community service and emergency center.

The invention relates to the technical field of elderly care, solves the problems that in the prior art, due to the fact that noisy and intermittent elderly voice is lack of robust sentence bound recognition and interruption repair, misinformation and missing information of calling-for-help triggering are prone to occurring, and time delay is high, and provides an audio processing method and device for elderly calling-for-help, equipment and a medium. The method comprises the following steps: preprocessing a voice signal of the elderly to obtain a preprocessed voice signal; performing statement boundary recognition and labeling on the preprocessed voice signal to obtain a voice fragment set; carrying out interruption segment and silent interval detection on the voice segment set to obtain an initial voice segment sequence, and carrying out intelligent recombination and time sequence repair on the initial voice segment sequence to obtain a target voice segment sequence; and carrying out emergency call recognition on the target voice segment sequence to obtain an emergency call judgment result. According to the invention, the accuracy of distress call identification of the elderly is improved.

The invention discloses an intelligent anti-falling risk management system based on artificial intelligence, and relates to the technical field of artificial intelligence, the intelligent anti-falling risk management system comprises a management center, and the management center is connected with a monitoring acquisition module, a transmission processing module, a body position analysis module and a multi-dimensional supervision module; constructing a resting virtual space for the bedridden old person, and performing position marking on the collected bedridden state data through the resting virtual space based on the intelligent anti-falling bed to obtain a continuous track of the bedridden old person; boundary distance statistics is carried out according to the continuous track of the bedridden patient, the boundary distance is converted into a real-time track fluctuation map, range division is carried out on the real-time track fluctuation map, the range proportion is counted, and a curve judgment range is obtained; carrying out simulation diagnosis through the static lying virtual space to obtain an abnormal identification state, and carrying out dynamic feedback adjustment on the bedridden old people according to the abnormal identification state based on the static lying virtual space to obtain an anti-falling intervention measure; the occurrence of falling-off accidents of old people is effectively reduced, the nursing efficiency is improved, and the burden of nursing personnel is relieved.

An antihypertensive peptide probiotic goat milk powder and a preparation method thereof are provided. Goat milk is used as a raw material, the goat milk is sterilized and then cooled, and the screened probiotic bacteria for fermenting goat milk to produce antihypertensive peptides, namely Lacticaseibacillus rhamnosus KD5 (which is preserved in CCTCC on Sep. 7, 2023, with a preservation number of CCTCC NO: M20231641), is added and stirred evenly, and then fermented at a constant temperature. After the fermentation is completed, probiotic fermented goat milk containing antihypertensive peptides is obtained. After mixing the probiotic fermented goat milk evenly with or without nutritional fortifiers for middle-aged and elderly people, it is subjected to vacuum low-temperature spray-drying to obtain antihypertensive peptide probiotic goat milk powder, which has a high ACE inhibition rate and can be used to assist consumers in lowering blood pressure.

The application relates to the technical field of data processing, and discloses an old person health state evaluation data processing system based on multi-modal data, which comprises a medical data integration module, an across-modal causal fusion processing module, a health state evolution modeling module, a backtracking evaluation report module and a decision output module. The medical data integration module acquires electronic medical record data and medical examination reports through a FHIR interface and extracts structured health indexes. The across-modal causal fusion processing module fuses monitoring data and medical texts through an image, a text and an image sandwich architecture. The health state evolution modeling module maps a health feature vector into three-dimensional state indexes of physiological functions, cognitive levels and motor abilities. The backtracking evaluation report module and the decision output module are used for backtracking evaluation and decision output. Through the image, the text and the image sandwich architecture, deep semantic fusion of multi-modal features is realized under the constraint of medical pathology rules, feature weight adaptive distribution is dynamically guided based on a medical causal graph, a high-dimensional fusion vector retaining key pathological information is generated, the semantic integration capability of health data is significantly improved, and the reliability of discrimination and decision is improved.

The invention discloses a door lock collaborative community mutual assistance method and system, and the method comprises the steps: completing multicast registration according to the service type of a hot neighbor or a to-be-assisted old person selected by an owner on an intelligent door lock; according to a hot neighbor object selected by the old person to be assisted on the door lock, generating an assisted purchase request multicast message; the authorized party door lock verifies the identity of the entrusting party to the property management system after receiving the information, generates an entrusting confirmation message according to a user confirmation result, and returns the entrusting confirmation message to the entrusting party door lock; according to a consignment confirmation success result, the entrusting party door lock sends a shopping list input by the old person to the entrusted party door lock; after the entrusted party arrives at the unmanned supermarket, the face is scanned to trigger verification, and a supermarket door lock is opened; and according to a payment request triggered after the delegated person completes article selection, the door lock collects the payment two-dimensional code and sends the payment two-dimensional code to the payment machine to complete payment. According to the embodiment of the invention, the shopping problem of the elderly having difficulty in moving can be solved, the elderly does not need to operate a mobile phone, and the convenience and reliability of community mutual assistance are improved.

The invention discloses a control method and system for an accompanying robot for elderly people living alone based on multi-mode perception, and belongs to the technical field of intelligent old people nursing and artificial intelligence crossing. The system adopts an end-side cloud collaborative architecture, and integrates a main control unit, a multi-modal sensor unit, an interaction unit, a power unit and a health monitoring unit. According to the control method, a dynamic threshold model based on an active state is established by fusing data of the depth camera and the laser radar, and an artificial intelligence model is introduced for secondary judgment, so that high-precision fall detection and early warning are realized; meanwhile, the problem that the elder misses or mistakenly takes medicine is solved through a voice and vision collaborative medicine taking management mechanism; gmapping and TEB algorithms are adopted to optimize indoor navigation and dynamic obstacle avoidance performance. According to the invention, privacy protection and operation convenience of the elderly are considered, and the requirements of home safety and health management of the elderly living alone are met.

The invention discloses an intelligent health monitoring alarm system, and the system comprises an environment behavior monitoring module which is used for collecting environment and behavior data related to daily activities of a user, and the environment and behavior data comprises water data, power data, gas data, image data, environment sound data and refrigerator door state change data; wherein the environment sound data particularly refers to a playing sound source signal which is acquired by an indoor microphone and is generated by a television or audio playing equipment; the data processing center is used for receiving and storing the environment and behavior data; and the user habit learning module is used for establishing and dynamically updating a personalized daily behavior baseline model of the user through a machine learning algorithm based on historical data. According to the invention, through multi-dimensional non-contact monitoring, the influence of contact equipment on the self-respect of the elderly can be avoided, and more comprehensive and intelligent health monitoring alarm of the elderly can be monitored at the same time.

The invention relates to the technical field of hearing-aid communication terminals, and discloses a hearing-aid operation method, system and terminal for communication data for old people. The hearing-aid operation method is applied to a terminal host integrated with a hearing-aid unit, an audio unit, a communication unit, a positioning unit, an AI processing unit and a wireless connection unit, and specifically comprises the following steps: S101, obtaining a user start request, synchronously collecting an environment simulation sound signal through a terminal microphone array, and converting the environment simulation sound signal into a high-resolution digital audio stream through an ADC module; according to the invention, a hardware end deeply integrates hearing aid, communication and an AI processing unit to integrate an environment sound enhancement function and a family interaction function into the same data processing stream, and a self-adaptive multi-filtering technology based on scene perception is adopted, so that noise reduction, frequency band enhancement and signal shaping parameters can be dynamically adjusted according to a real-time acoustic environment; and speech definition and auditory safety in a complex environment are obviously improved.

The invention discloses a multi-door-lock cooperative communication group establishment method and system, and the method comprises the steps: dividing a feature vector into an upper half segment and a lower half segment according to an authorized user face feature vector obtained by an initiator door lock, and completing multicast registration; according to a communication group request initiated by an initiator door lock, the router compares the feature vectors associated with the outbound interface in the multicast forwarding table and then performs directional forwarding; according to the multicast invitation message received by the receiver door lock, constructing a unicast response message containing an upper half segment, and sending the unicast response message to the initiator door lock; and verifying a matching result of the upper half section of the feature vector according to a unicast response message received by the initiator door lock, establishing a secure connection with the verified receiver door lock, and initiating a multi-party communication group. By utilizing the embodiment of the invention, the old can initiate the communication group without operating a mobile phone, and meanwhile, the convenience, reliability and safety of the multi-door-lock cooperative communication group are ensured.

The invention relates to the technical field of public space design, in particular to a community old and young shared public space design method and system. Exercise facility safety analysis is performed on the basis of exercise habit conditions of children and old people in the community and corresponding exercise facility position specification conditions, exercise facility selection analysis is performed on the basis of an exercise facility matching analysis result and an exercise facility safety analysis result, and the matching conditions of various exercise facilities and the old and the young in the community are accurately analyzed. And the rationality and safety of exercise facility installation are improved.

The invention is applied to the technical field of intelligent robots, and discloses an emotion accompanying and health supervision robot based on a multi-modal fusion technology, which comprises a terminal data acquisition module, a cloud algorithm analysis module and a remote early warning module, the terminal data acquisition module is composed of wearable equipment worn by a user and a robot body with an interaction function, and the wearable equipment is used for acquiring physiological data of the user in real time and transmitting the physiological data to the robot body. According to the emotion accompanying and health supervision robot based on the multi-modal fusion technology, the fragmentation limitation of respective independence of vital sign monitoring, emotion recognition and language interaction in the prior art is broken through, and the problem that in the fast-paced society, families do not care the old, children and other groups comprehensively is effectively solved; meanwhile, the emotional requirement of young groups on'no-burden accompanying 'is met, and the double market requirements of aging and'lonely economy' are met.

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.

In the homes where elderly people are accustomed to living, the knee joints are subjected to a lot of stress when going up and down stairs, especially when going down them, which causes frequent falls and can lead to serious health problems such as fractures, hospitalization, and even becoming bedridden or experiencing the progression of dementia. [Solution] Hydraulic bags containing hydraulic oil are placed under the treads of each staircase, and the hydraulic bags are connected to each other by hoses with control valves. When the operating lever inside the handrail is gripped, the wire opens the control valve, and the hydraulic oil is pushed out by the user's weight, causing the treads to descend. The pushed-out hydraulic oil is injected into an empty hydraulic bag container on the floor below, causing the treads on the lower floor to rise and be at the same floor height. This provides an inexpensive, non-powered elevator "specialized for descending," allowing users to easily descend to the floor below without bending their knees.

The invention relates to the technical field of aged intelligent interaction, and discloses an aged intelligent interaction system and method for cognitive impairment and semi-disabled old people, a multi-modal information acquisition unit cooperatively works through voice, vision, touch, physiology, micro-action and environment perception units, and awakens and acquires multi-modal data as required; the adaptive processing unit performs multi-modal data verification, adaptive adjustment of an instruction guide mode and an intention recognition mode, adjusts an interaction mode according to a scene, and provides sound-visual-touch multi-mode feedback output; the cloud server interacts preset data with the adaptive processing unit, the remote collaboration unit synchronizes key data in the preset data to the remote terminal, triggers remote collaboration with the remote terminal and interface / scene sharing, and triggers remote alarm to the remote terminal and / or an emergency center when abnormity occurs. Potential risks are warned through the behavior baseline, and a remote terminal is triggered to limit care. According to the invention, an interaction system which is really adaptive to the physiological and psychological characteristics of the special group is constructed.

The invention discloses a nursing home night safety management method and equipment, and the method and equipment are applied to an autonomous patrol robot, the autonomous patrol robot comprises an edge calculation unit and a multi-mode sensor, and the method comprises the steps: when the autonomous patrol robot patrols to a monitoring distance of a door, the edge calculation unit calculates the monitoring distance of the door; the edge calculation unit performs outdoor non-contact monitoring through a multi-modal sensor and acquires multi-modal sensing data; determining physical sign data of a human body according to the multi-modal sensing data; and carrying out association analysis on the physical sign data of the human body to obtain physical sign deviation information of the human body so as to carry out risk prediction on the old. Night safety management can be carried out on the nursing home more efficiently, and risk early warning can be carried out quickly and accurately.

The invention relates to the technical field of smart pension and health information, and discloses a virtual reality-based intelligent activity interaction method for elderly groups, which comprises the following steps: S1, information acquisition: acquiring health basic information, activity preference information and virtual reality equipment use proficiency information of elderly users, and forming a user basic portrait; a safety data interface connected with a health record system is constructed, detailed health basic information of elderly users is integrated, and multi-dimensional adaptability constraint conditions including activity intensity, action complexity, scene acousto-optic stimulation, activity duration and the like are automatically constructed according to the detailed health basic information; according to the mechanism, activity items with controllable safety risks can be intelligently screened and marked for old people with different health conditions such as cardiovascular diseases, limb disorders, sensory decline and cognitive impairment, so that the potential safety hazard caused by one-step operation of traditional activities is fundamentally solved, and the safety of intervened footstones is ensured.

The invention provides a radar-based nursing behavior identification method, system and product, and the method comprises the steps: carrying out the target detection of collected radar echo data, and generating a target 2D point cloud based on a target detection result; performing clustering processing based on the target 2D point cloud, and determining position information of the nursed person based on the clustered target 2D point cloud; performing point cloud distribution on the clustered target 2D point cloud based on the position information of the nursed person to obtain a nurse point cloud; performing trajectory tracking on the point cloud of the nursing personnel to obtain a trajectory coordinate sequence; extracting nursing behavior characteristic parameters, and performing nursing behavior compliance judgment based on the nursing behavior characteristic parameters; and generating a nursing behavior compliance auditing report based on the nursing behavior compliance determination result. According to the nursing behavior identification method provided by the invention, the positioning of the old and nursing workers can be realized without any prior position information, and the inspection of nursing behaviors in different scenes can be supported.

A system is provided.SOLUTION: A system comprising: device means for collecting data for monitoring a behavior of a living elderly person; terminal means for temporarily storing the collected data and transmitting the data to a server at regular intervals; server means for analyzing the received data and detecting an abnormality; notification means for issuing a notification when an abnormality is detected; and report generation means for periodically generating a report and providing the report to a user.SELECTED DRAWING: Figure 1

The invention belongs to the field of pharmaceutical preparations. The invention relates to a novel dosage form of an isavuconazole sulfate freeze-dried tablet, and a prescription and a process for preparing the isavuconazole sulfate freeze-dried tablet by adopting a freeze-drying method. The isavuconazole sulfate freeze-dried tablet is prepared from isavuconazole sulfate serving as a main drug and pharmaceutic adjuvants. Water is not needed during taking, and the tablet can be rapidly disintegrated after being put in the mouth and is suitable for patients with dysphagia such as old people and children; the production process of the isavuconazole sulfate freeze-dried orally disintegrating tablet is simple in technology, easy to control and suitable for industrial production.

The invention relates to the technical field of intelligent old-age care monitoring, and discloses a method for identifying abnormal behaviors of home elderly based on millimeter-wave radar and vision fusion, which comprises the following steps: S1, multi-modal data acquisition and privacy protection configuration: deploying a configurable sensing suite in a home environment of the elderly, comprising a millimeter wave radar, a visual sensor (infrared and visible light), environment sensors (doors and windows, water, illumination and ground vibration) and wearable equipment (such as a smart bracelet / chest card). According to the method and the system for identifying the abnormal behaviors of the home elderly based on millimeter-wave radar and vision fusion, all-around behavior monitoring is realized on the premise of guaranteeing the privacy of the elderly through multi-modal sensor fusion and a hierarchical privacy protection mechanism, and the millimeter-wave radar and the vision sensor are complementarily fused, so that the privacy worry of a pure vision technology is overcome, and the safety of the home elderly is improved. And the limitation of a single radar on complex behavior identification is solved, and meanwhile, a configurable sensing suite and a hardware-level privacy switch are adopted.

We provide the system. [Solution] A speech recognition means that collects voice data from elderly people and converts it into text data, A generative model means that analyzes the converted text data to generate a response, A speech synthesis means that converts the generated response into speech and outputs it, A health information extraction method that extracts health information from the daily conversations of elderly people, A profile update means for updating the user profile with extracted health information, A notification method that sends a notification to a designated contact when an anomaly is detected, A system that includes this.

1. The name of the design product: medicine feeder. 2. The use of the design product: for people to take medicine, such as infants, the elderly and patients, etc. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view 1. 5. The rear view is symmetrical with the front view, and the right view is omitted. The left view is symmetrical with the right view, and the right view is omitted.

The application discloses a community service matching method and system of an interactive terminal and a storage medium, relates to the technical field of interaction, and discloses a community service matching method of an interactive terminal, which comprises the following steps: performing local desensitization processing on information collected indoors, combining a public area terminal to acquire outdoor environment information to generate a structured emergency service demand, and blocking indoor image transmission when service resources are matched, so that the problems of easy leakage of resident privacy, low abnormality identification accuracy, service resource mismatch and response delay in indoor monitoring of emergency events in the prior art are solved, the abnormality identification accuracy of a single elderly person or pet can be improved, the service resource matching effect can be optimized, the emergency service response time is shortened, and the reliability and user acceptance of community emergency service are effectively improved.