98 results about "Cognitive capability" patented technology

A home-based remote care solution provides sensors including a basic health monitor (BHM) that is a measurement and feedback system. The BHM operates with low power integrated communications combined with an in-home, low power mesh network or programmable digital assistant (PDA) with cell phone technology. A cognitive system allows remote monitoring of the location and the basic health of an individual. The BHM measures oxygen saturation (SaO2), temperature of the ear canal, and motion, including detection of a fall and location within a facility. Optionally, the BHM measures CO2, respiration, EKG, EEG, and blood glucose. No intervention is required to determine the status of the individual and to convey this information to care providers. The cognitive system provides feedback and assistance to the individual while learning standard behavior patterns. An integrated audio speaker and microphone enable the BHM to deliver audio alerts, current measurements, and voice prompts. A remote care provider can deliver reminders via the BHM. The device may be worn overnight to allow monitoring and intervention. Through the ability to inquire, the cognitive system is able to qualify events such as loss of unconsciousness or falls. Simple voice commands activate the device to report its measurements and to give alerts to care providers. Alerts from care providers can be in a familiar voice to assist with compliance to medication regimens and disease management instructions. Simple switches allow volume control and manual activation. The device communicates with a series of low-power gateways to an in-home cognitive server and point-of-care (POC) appliance (computer). Alone the BHM provides basic feedback and monitoring with limited cognitive capabilities such as low oxygen or fall detection. While connected to the cognitive server, full cognitive capabilities are attained. Full alerting capability requires the cognitive server to be connected through an Internet gateway to the remote care provider.

The present invention relates to a neurochemical formulation comprising a supplement for improving function of neurons, improving memory and cognitive abilities, and reversing free radical damage caused by aging or neurodegenerative disease. The formulation comprises phosphoesters and antioxidants. Components may have antioxidant properties or enhance properties of other components. The synergistic combinations allow individual component dosages to be reduced, thereby minimizing potential toxicity.

The invention provides a method for improving cognitive performance in a physically active subject. The invention further provides a method of enhancing neurogenesis in a physically active subject. In one embodiment, the method encompasses administering to the subject an effective amount of one or more flavonoids. In a further embodiment, the method encompasses administering to the subject an effective amount of one or more antioxidants.

The invention provides a multi-mode interaction method for a multi-mode virtual robot. An image of the virtual robot is displayed in a preset display region of a target hardware device; and the constructed virtual robot has preset role attributes. The method comprises the following steps of obtaining a single-mode and/or multi-mode interaction instruction sent by a user; calling interfaces of a semantic comprehension capability, an emotion recognition capability, a visual capability and a cognitive capability to generate response data of all modes, wherein the response data of all the modes is related to the preset role attributes; fusing the response data of all the modes to generate multi-mode output data; and outputting multi-mode output data through the image of the virtual robot. The virtual robot is adopted for performing conversation interaction; on one hand, an individual with an image can be displayed on a man-machine interaction interface through a high-modulus 3D modeling technology; and on the other hand, the effect of natural fusion of voices and mouth shapes as well as expressions and body actions can be achieved through an animation of a virtual image.

An informatics platform comprising method, system, and computer program is provided for interacting with clinical decision support systems such as the IBM Watson for Oncology, for the purpose of utilizing cognitive processing, machine learning and natural language processing to facilitate the manual to semi-automatic to automatic acquisition of a patient's electronic medical record data points, into a CDS system for populating the attributes questionnaire, for generating a patient diagnostic report of treatment recommendations. The platform supports deployment on several informatics architectures including client-server, cloud-based and blockchain.

In a typical embodiment, the system is deployed as a Software-as-a-Service (SAAS) application; it implements a cloud-based, real-time architecture comprising: (a) an adaptive user interface providing responsive dashboards for real-time data presentation and user interaction, (b) a hub controller for real-time data flow transformation, (c) a data validation engine which incorporates cognitive natural language processing (NLP) to extract structured and unstructured patient record data from the EHR and employs methods that provide an optimally automated input to the CDS, (d) cloud storage of aggregated CDS data and other clinical datasets, and (e) plug-in support for additional cognitive capabilities such as predictive analytics and data mining.

The present invention discloses a cognitive competence evaluation system and method based on eye movement and electroencephalogram characteristics. The system comprises an experiment scheme design module, an experiment scheme display device, an eye movement acquisition device, an electroencephalogram acquisition device, a data storage module, an eye movement analysis module, an electroencephalogram analysis module and a scheme evaluation module, a tested person wears the experiment scheme display device, and an evaluation experiment scheme is played on a display screen for the tested person tocheck; the eye movement acquisition device and the electroencephalogram acquisition device are used for respectively recording related sight parameters and electroencephalogram parameters of the tested person in a presentation process of the evaluation experiment scheme, and model construction and ability evaluation on the eye movement parameters and the electroencephalogram parameters are conducted; analysis results of the eye movement parameters and the electroencephalogram parameters are stored in the data storage module; and a cognitive evaluation score is obtained through the scheme evaluation module, the cognitive evaluation score is displayed externally, the cognitive ability is objectively evaluated by adopting the eye movement parameter characteristics and electroencephalogram parameters in an experimental paradigm, and accuracy is obviously improved.

A wireless communication network is provided in which a plurality of radio devices achieve frequency diversity. By utilizing cognitive capability within the radio devices to iteratively select frequency sets, a lowest cardinality frequency set is generated and used to communicate amongst the plurality of radio devices. Each radio device can have different hardware, as the iterative selection of frequency set can take into account the different hardware capabilities of the radio devices.

Digital technology utilizing a cognitive model based on human naturalistic decision-making processes, including pattern recognition and episodic memory, can reduce the dependency of human-machine interactions on the abilities of a human user and can enable a machine to more closely emulate human-like responses. Such a cognitive model can enable digital technology to use cognitive capacities fundamental to human-like communication and cooperation to interact with humans.

The invention relates to a wheel type mobile robot navigation method based on an IHDR self-learning frame. The method comprises following steps: firstly, a robot is guided to move, and in the process, the robot is controlled to acquire current image information and speed values in real time via a kinect sensor and a handle; then the IHDR algorithm is employed to establish a mapping relation between image input and speed value output and store a lot of acquired data in the robot in the manner of a "knowledge" tree-shaped structure; finally, the robot can search in a knowledge base according to the current image information without human intervention so that self navigation is realized. According to the method, the robot has the same thinking mode with people, a cognitive ability is reflected, the navigation is not realized via a mathematical model in a conventional manner, and the intelligent degree is higher.

The invention relates to the field of brain health cognitive rehabilitation training and aims to solve the technical problem of providing a cognitive training method for improving executive functionsand a system. The cognitive training method comprises the following steps: inputting personal information of a user, and registering an account; according to a cognitive function defect grade of the user, selecting corresponding training modes to carry out training; storing data generated in the training process and the personal information of the user into a database, and generating training reports; after one training cycle, evaluating the cognitive capability of the user, and updating training items. The cognitive training method is developed according to dementia disease cognitive damage characteristics, occurrence regularity and neuroplasticity and on the basis of multiple classical cognitive psychology experimental paradigms, meanwhile interestingness and playability are taken into account, elements such as traditional Chinese culture are engaged, and scientific and effective individual and intelligent training on chief action cognitive impairment, mild cognitive impairment and executive functions of people with the risk of dementia can be implemented.

Example systems, methods, and apparatus, including cognitive platforms, are provided for applying signal detection metrics in computer-implemented adaptive response-deadline procedures to data collected based at least in part on user interaction(s) with computerized tasks and/or interferences. The apparatus can include a response classifier for generating a quantifier of the cognitive abilities of an individual. The apparatus also can be configured to adapt the tasks and/or interferences to enhance the individual's cognitive abilities.

The invention contains methods for identifying, parameterizing, saving and utilizing Multicriterion Decision Making (MCDM) functions to analyze data sets. The invention contains methods for performing selections with individual interaction with checkboxes, plots, algorithms, and queries, all linked to a single selection state attribute that is automatically added to each dataset. Successive selection steps may be combined with boolean operators: SET/AND/OR. Selection state is sortable to allow selected objects to be visually collected. Together, this provides a powerful suite for MCDM, which is true Decision Support. The invention contains methods for visualizing molecular structures which allow greater cognitive power to be brought to bear on crucial aspects of many types of structural comparison and analysis, using visual topological cueing. The invention contains visual methods for enhancing an analyst's ability to identify and robustly recognize relationships between molecular structures and the properties they give rise to.

The invention relates to the field of robot grabbing cognition, in particular to a grabbed object recognition method based on tactile vibration signal and visual image fusion. The recognition method comprises the following steps of firstly, obtaining a visual color image of a grabbed object through a camera, and then converting the tactile vibration signal obtained during grabbing of the object into the tactile color image according to the numerical value; finally, converting the sizes of the visual color image and the tactile color image to obtain a unified size, and combining the RGB three channels of the visual color image and the RGB three channels of the tactile color image to form six-channel input; and at last, inputting the six-channel image into a convolutional neural network forobject type recognition. According to the recognition method, the types and physical properties of the object can be recognized properly, and the cognitive ability of the robot can be improved.

There is a need for solutions that monitor memory loss with reduced caretaker involvement. This need can be addressed by, for example, selecting a first question from a group of multiple questions to ask a user of a computing device based one or more attributes associated with each question in the group of multiple questions; receiving a first answer by the user of the computing device to the first question; determining, from the first answer, one or more behavioral attributes associated with user response to the first question; and determining, based on the one or more behavioral attributes, a cognitive capability of the user of the computing device.

The present invention discloses a method and an apparatus for implementing network cognition. The method includes: determining a type of a received network task; according to the type of the received network task, selecting at least one cognitive capability identifier corresponding to the type of the network task; using network devices with the at least one cognitive capability identifier as alternative network devices; determining an alternative network device that is among the alternative network devices and has a cognitive capability that meets a condition for performing the network task is a target network device; and controlling the target network device to perform the network task.

An embodiment of the invention discloses a cognitive reaction capability testing instrument and method, and relates to the field of cognitive capability testing. The instrument and method are used forsimplifying the cognitive reaction capability testing process while achieving the cognitive reaction capability testing to improve the accuracy of testing results. The cognitive reaction capability testing instrument includes a casing, a processor disposed in the casing and a plurality of sets of signal lights and a plurality of reaction buttons disposed on the casing and respectively connected to the processor. The plurality of sets of signal lights and the plurality of reaction buttons are in one-to-one correspondence relationship. The processor is configured to generate a random signal sequence comprising the one-to-one correspondence relationship of a plurality of signal selection signals and a plurality of color signals and control the plurality of sets of signal lights to display corresponding colors according to the random signal sequence, determine whether a reaction result of a tester is correct and generate a testing result according to a judgment result. The cognitive reaction capability testing instrument is used for testing the cognitive reaction capability of the tester.

A cognitive based service request dispatching system quantifies cognitive dependency of a service request and assigns the service request to maximize a value of cognitive match. A set of metrics comprising service quality index, cognitive capability score, cognitive dependency weight, and cognitive matching score are determined to quantify cognitive dependency of a service request and cognitive based assignment and dispatching of the service request.

The invention relates to the technical field of software vulnerability fuzzy test, and discloses a software vulnerability fuzzy test method based on man-machine cooperation, which utilizes an automatic service matching and assembling technology to provide cognitive competence of software security analysts as cognitive service for a software vulnerability fuzzy test process. According to the method, the cognitive ability of a person participating in the software vulnerability fuzzy test is used as a component of the system, namely cognitive service, and is immersed into the whole software vulnerability fuzzy test task solution. According to the method, the software service and the cognitive service are fused into a unified framework to achieve man-machine cooperation, flexible switching between the software service and the cognitive service can be achieved, and the purpose of improving the software vulnerability fuzzy test efficiency can be achieved. According to the method, the experience of people is solidified as a service form in the test sample generation link, so that the problem that time is extremely wasted when test cases are artificially generated in the previous fuzzy test process is solved to a certain extent, and the efficiency of the whole fuzzy test is greatly improved.

The invention relates to a steady state visually evoked potential+motor imagery (SSVEP+MI) brain-computer interface-based stroke rehabilitation training system and method. The system comprises a computer (1), an electroencephalogram cap (2), a mechanical arm (3), augmented reality (AR) goggles (4), an electrical stimulation feedback instrument (5), a rehabilitation pneumatic hand (6), an SSVEP stimulation interface (7), an SSVEP online training unit (8), an MI interactive interface (9), an MI offline training unit (10) and an MI online training unit (11). The method comprises the following steps: in first-stage rehabilitation training, an SSVEP brain-computer interface is combined with AR and the mechanical arm, SSVEP-EEG is decoded through a filter bank canonical correlation analysis (FBCCA) algorithm, which can help a patient to express intention and assist living, and meanwhile, the attention and cognitive ability of the patient can be trained, thereby laying a foundation for second-stage rehabilitation training. In the second-stage rehabilitation training, the MI brain-computer interface is combined with the AR and rehabilitation peripherals, MI-EEG is decoded through the FBCSP algorithm, a closed-loop rehabilitation loop can be formed through multiple feedback modes, and functional control connection between external limbs and the brain is repaired to help the patient to recover a limb movement function.

The invention relates to the technical field of rehabilitation equipment and discloses a VR-based cognitive ability rehabilitation device; a virtual scene is generated by using a VR Technology, various logical tasks are set in the virtual scene, and a patient carries out corresponding operation in the virtual scene through an acquisition device according to task instructions, so that the patient hardly relies on medical staff to perform rehabilitation training in a relatively strong reality-sense environment; and meanwhile, all operating data of the patient is stored as reliable support data for a doctor to judge the rehabilitation condition of the patient, so that a new and more effective treatment means is provided for non-drug therapy, at the same time, the burden of hospital medical staff is relieved, the family and social burden is effectively reduced, and relatively practical and effective medical clinical practical value and social value are achieved.