Abstract: A system and method is operable to automatically determine the amplitude and latency of one or more evoked potential (EP) or event-related potential (ERP) from electroencephalography (EEG) data. The EEG data from an EEG scan is separated into one or more epochs containing the desired EP or ERP waveforms. Epochs corresponding to the same type of EP or ERP such as N100, P300, and N400 are averaged automatically. The averaged epochs are automatically filtered in the time-frequency domain using an automatically selected filtering mask associated with the type of EP or ERP. A corresponding peak is automatically identified from the filtered epoch, in which the amplitude and latency is automatically measured.

Abstract: Various embodiments provide methods, apparatus, systems, computing entities, and/or the like, for identifying deviated behavior of an individual indicated by outlying activity counts and outlying activity timings classified by a prediction interval profile generated from historical behavior data. In an embodiment, an example method comprises accessing sensor data describing behavioral activities of an individual during historical time periods and generating a prediction interval profile for the behavioral activities comprising a predicted count interval within a prediction time period for at least some behavioral activities. The method further includes receiving sensor data for the prediction time period and extracting an observed activity count and an observed activity timing for each behavioral activity.

Abstract: A vehicle configured to move from a first geographic location to a second geographic location for at least one of building training or testing at each of the first and second geographic locations is disclosed. The vehicle has a plurality of rooms including an attic, an attic space disposed in the attic, attic framing disposed in the attic, the attic framing separating the attic space from an empty space, and at least one structural assembly disposed in the attic space and that simulates an attic error to be found during the at least one of building training or testing. The attic framing is disposed at an angle.

Abstract: A communication support server includes: a message content analysis unit configured to analyze a content of a message transmitted from a first terminal device used by a first user and/or a second terminal device used by a second user; a question information generation unit configured to generate question information to be transmitted to the first user based on the content of the message analyzed by the message content analysis unit; and an assist message generation unit configured to generate an assist message to be transmitted only to the second terminal device based on answer information that is an answer of the first user to the question information.

Abstract: A system for improving personality traits is provided. The system includes at least one processor configured to provide an option to a user for selecting at least one personality trait from a plurality of personality traits. The processor is also configured to suggest at least one alternate personality trait for selection based on the personality trait selected by the user, and allow selection of at least one of the suggested alternate personality traits or proceed with the earlier selection. The processor is further configured to suggest one or more actions based on the personality trait selected by the user, wherein the action is to cause an improvement in the selected personality trait of the user.

Abstract: Apparatus, systems, and methods are provided for generating a quantified indicator of cognitive skills in an individual. In certain configurations, the apparatus, systems, and methods can be implemented for enhancing cognitive skills in an individual.

Abstract: The present invention provides a system and method for determining human emotions. The system includes an input device for receiving at least one image of a human face and at least one processor for: processing the at least one image to generate a heat map of the at least one image as a first identifying data; processing the heat map to generate a second identifying data relating to emotional conditions based on heat; processing the at least one image to generate a third identifying data relating to emotional conditions based on muscle movement; and processing the at least one image to generate a fourth identifying data relating to truthfulness. The first, second, third and fourth identifying data are then collectively processed to generate a final emotion identifier for display on an output device.

Abstract: Systems and methods for evaluating and improving overall mental health of an individual are presented herein. In one or more examples, the systems and methods can be implemented in a computer application that is configured to download information from a user's mobile device. Once the data is acquired, in one or more examples, the application can prompt the user to provide additional information, and using both the user's input and the acquired data, the application can calculate a metric known as “Return on Happiness” (ROH) which can provide the user with a quantative measure of their happiness. In one or more examples, the ROH metric can be based on neurotransmitter activity in the user that is estimated by the application. The application can further identify any deficiencies in ROH and suggest one or more activities that the user can engage in to mitigate any of the detected deficiencies.

Abstract: The methods and apparatus disclosed herein can evaluate a subject for a developmental condition or conditions and provide improved sensitivity and specificity for categorical determinations indicating the presence or absence of the developmental condition by isolating hard-to-screen cases as inconclusive. The methods and apparatus disclosed herein can be configured to be tunable to control the tradeoff between coverage and reliability and to adapt to different application settings and can further be specialized to handle different population groups.

Abstract: Client initiated cloud-delivered device management check-in allowance and arbitration may include registering an application as a cloud-based unified endpoint management and antimalware eventing-entitled application, assigning an eventing identification to the application, and deploying the application to a client Information Handling System (IHS). A cloud-delivered device management agent on the IHS is enabled to allow local eventing and a maximum number of events per time period(s) from the application are defined. The agent checks in to a cloud-delivered device management service, upon a compliance failure event, keyed by the application, and passes an alert of the compliance failure with a reason and the application's name. The agent reports excess alerting over the maximum number of events per time period as compliance failure by the client IHS, with the application's name. Also, the agent may cease passing alerts from the application in response to triggering such a report of excess alerting.

Abstract: Disclosed is an image display format conversion method, comprising: a frame recognition step of performing a frame recognition process on a comic page image to obtain a plurality of comic frame images and frame position information; a frame sequence determination step of determining a frame viewing sequence according to a selected regional layout rule; and a frame reassembly step of reassembling and converting, based on the frame viewing sequence, the plurality of comic frame images into a digital media in an animation-like format or a scrolling-comic format.

Abstract: An apparatus and method for providing a performance data output for a user is provided. Apparatus may include a computing device including a processor, which may receive a user datum and generate an interface query data structure including at least a query including an input field based on the user datum. The interface query data structure may configure a remote display device to display the input field to the user, receive at least a user-input datum into the input field, retrieve data describing attributes of the user from a database communicatively connected with the processor, and refine the interface query data structure based on data describing attributes of the user from the database. The processor may use a machine learning model including a classifier to correlate the user datum to the interface query data structure and data multipliers into a list and accordingly generate a strategy data.

Abstract: Computer systems and processes configured to collect empirical data from a plurality of observations of a person, and to analyze the data to identify a particular state of the person characterized by at least a particular property selected from the group consisting of types of behaviors, types of actions, types of activities, and/or types of emotions. The computer system facilitates transmission of a digital message, the content of which may be determined in response to the instance of the one particular state identified. The content of some digital messages may include experiments performed by the computer system on the person, to test the validity of the state-identification-process. The state-identification-process can then be updated with the observed responses of the person to the experiments, and with the results of the experiments.

Abstract: Examples disclosed herein describe prompt modification techniques for automated image generation. An image generation request comprising a base prompt is received from a user device. A plurality of prompt modifiers is identified. A processor-implemented scoring engine determines, for each prompt modifier, a modifier score. The modifier score for each prompt modifier is associated with the base prompt. One or more of the prompt modifiers are automatically selected based on the modifier scores. A modified prompt is generated. The modified prompt is based on the base prompt and the one or more selected prompt modifiers. The modified prompt is provided as input to an automated image generator to generate an image, and the image is caused to be presented on the user device.

Abstract: A method, a system, an apparatus and a computer program product, for detecting and monitoring cognitive capabilities pertain to driving. The method comprises applying a series of stimuli on a driver while is driving a vehicle. The series of stimuli comprises a first portion matching a pattern and a second portion deviating from the pattern, and configured to induce an ocular response from eyes of the driver. The method further comprises obtaining a set of images of the eyes of the driver, that are captured during the application of the series of stimuli. The method further comprises analyzing the set of images to determine a set of ocular features corresponding each image; and determining, based thereon, a cognitive state of the driver. Based on the cognitive state of the driver, a determination whether the driver is capable of operating the vehicle safely may be performed.

Abstract: A method and electronic device for self-affirmation and development of purposeful behavior includes displaying a purposeful inquiry interface including a plurality of navigation elements. The method also includes receiving a first navigation selection input corresponding to the first navigation element. The method further includes displaying explore interface including a plurality of explore interface elements. Each explore interface element corresponds to a particular activity. The method also includes receiving explore selection inputs. The method also includes storing data associated with the explore selection inputs.

Abstract: An alert is used to inform a user that their blood glucose level has dropped below a threshold (e.g., the user is hypoglycemic) or has increased above a threshold (e.g., the user is hyperglycemic). There is a hierarchy of alerts from lowest priority to highest priority. The alert is communicated by a user device (e.g., a mobile device), which is, for example, a smartphone, smart watch, home automation device, or the like. The alert is modified in order to increase the likelihood that the user receives or acknowledges the alert within a minimal amount of time. An intensity level (e.g., a volume) of an alert is modified based on, for example, whether the user has acknowledged a previous alert. A modality or a sensory channel of an alert is changed if an initial alert does fails to elicit a response from the user.

Abstract: A cognitive platform is disclosed that is configured for either or both of assessing or enhancing the cognitive abilities of an individual based on implementing one or more navigation task(s) in an environment. A first task is rendered that requires the individual to rely on allocentric navigation capabilities to navigate in the environment based on a first set of views of portions of the environment rendered at the user interface. A second task is rendered that requires the individual to rely on egocentric navigation capabilities to navigate in the environment. An indication of a cognitive ability in the individual can be generated based on the difference in the individual's performance at the first task as compared to the second task.

Abstract: System and method for generating diagnostic assessment question papers is disclosed. A diagnostic assessment question paper should be able to accurately estimate the ability level of the students for the skill set being evaluated and should be able to discriminate between learners of different abilities. In one embodiment, the system and method of the present disclosure selects questions from a question database based on constraints defined by a user, and ranks the selected questions based on policies, metadata of students, and diagnostic metadata of selected questions. Then the system selects a set of questions having higher ranks and evaluates for accuracy and discrimination measures and selects the set of questions for generating the diagnostic assessment question paper if the values for the accuracy and the discrimination measures are higher than predefined values of accuracy and discrimination. Else, the process is repeated with alternative constraints or policies or both.

Abstract: The present invention relates to a method for processing data executed by a computing apparatus including at least a storage and a processor in a human-computer interface system using electroencephalography (EEG) data and eye tracking (ET) data, the method comprising following steps: representing through the control interface, a set of list of keys which is associated with user actions; collecting and processing the two EEG and ET dataset, to determine whether the user is looking at a certain key or not and the concentration state of the user while looking at that key, if yes then activating a time counting parameter t with an increasing rate of the time counting parameter ?>0 and an adjusting rate ?T; confirming whether the user wants to select that key or not, based on a time constraint defined as t?dwell, wherein dwell is a known parameter according to a conventional method corresponding to a required time duration that the user has to look at a key to select that key.

Abstract: An apparatus comprises at least one processing device comprising a processor coupled to a memory. The at least one processing device is configured to obtain an information density matrix for an input visual stimulus, the information density matrix characterizing information density of feature points in the input visual stimulus, and to identify one or more clusters of feature points in the input visual stimulus by performing spatial clustering of the feature points utilizing the information density matrix. The at least one processing device is also configured to determine a cognitive load score for the input visual stimulus based at least in part on the identified one or more clusters of feature points, the cognitive load score characterizing cognitive energy required to mentally process the input visual stimulus. The at least one processing device is further configured to modify a design of the input visual stimulus to adjust the cognitive load score of the input visual stimulus.

Abstract: Systems and methods for transitional effects in real-time rendering applications are described. Some implementations may include rendering a computer-generated reality environment in a first state using an application that includes multiple processes associated with respective objects of the computer-generated reality environment; generating a message that indicates a change in the computer-generated reality environment; sending the message to two or more of the multiple processes associated with respective objects of the computer-generated reality environment; responsive to the message, updating configurations of objects of the computer-generated reality environment to change the computer-generated reality environment from the first state to a second state; and rendering the computer-generated reality environment in the second state using the application.

Abstract: The exemplary embodiments disclose a method, a computer program product, and a computer system for determining a personalized weather forecast. The exemplary embodiments may include collecting data of a user and weather conditions of a location, extracting one or more features from the collected data, and determining a personalized weather forecast of the location for the user based on the extracted one or more features and one or more models.

Abstract: A compression vest for a child with a Autism Spectrum Disorder has front and rear air tube pads embedded in a front and a rear portions, an air is injected into the front and rear air tube pads embedded in the front and rear portions, the injected air is controlled via an application installed in a mobile terminal, the air is also injected using a manual pump, and the front and rear air tube pads embedded in a front portion and a rear portion of a vest outer skin have a circular bonding portion and a linear bonding portion so that, while the injected air is not allowed to escape to the outside and the air tube pads evenly inflate and apply uniform pressure throughout the vest, an air pressure of the air tube pads is directed inward, and thus pressurization is increased relative to the amount of injected air.

Abstract: Systems, methods, and apparatuses for facilitating augmented reality (AR) rewards are described herein. The system includes a sensor network configured to transmit and receive sensor data within an environment. A first user device associated with a first user and a second user device associated with a second user are configured to communicate with the sensor network and determine a position and an entity positioning characteristic of the first user and the second user, respectively. A computing device is configured to receive the sensor data including the position and entity position characteristics of the first and second users. The computing device is also configured to determine a behavior of the first and second users based on the received data. The computing device is also configured to generate a plurality of reward tokens. Each of the reward tokens is associated with a behavior characteristic.

Abstract: An emotion estimation apparatus includes preparation biological information acquisition circuitry acquires, separately from subjects who are in a preparation space, first biological information indicating a physical state of each subject and analyzes the first biological information, preparation emotion information acquisition circuitry acquires emotion information indicating an emotion of each of the subjects, association construction circuitry constructs association information in which the first biological information and the emotion information corresponding to the first biological information are associated with each other, estimation biological information acquisition circuitry acquires second biological information indicating a physical state of any one subject of the subjects who is present in an estimation space, estimation circuitry extracts the emotion information associated in the association information with the first biological information that is equal to the second biological information, and

Abstract: The present invention provides systems, methods and apparatus for a wearable band adapted to be worn by a user. The wearable band may include one or more biometric sensors such as a pulse monitor adapted to monitor a pulse of the user, and a transmitter adapted to wirelessly transmit pulse information from the pulse monitor to a mobile device such as a cellular telephone or PDA. The wearable band does not include a display for the biometric information. Numerous additional embodiments are disclosed.

Abstract: Systems, devices, and methods described herein relate to multi-sensory presentation devices, including virtual reality (VR) devices, visual display devices, sound devices, haptic devices, and other forms of presentation devices, that are configured to present sensory elements, including visual and/or audio scenes, to a user. In some embodiments, one or more sensors including electroencephalography (EEG) sensors and a photoplethysmography (PPG) sensors, e.g., included in a brain-computer interface, can measure physiological data of a user to monitor a state of the user during the presentation of the visual and/or audio scenes. Such systems, devices, and methods can adapt one or more visual and/or audio scenes based on user physiological data, e.g., to control or manage the state of the user.

Abstract: In exemplary embodiments, an AI (Artificial Intelligence) enabled system is developed, configured, and/or intended to facilitate the offensive, defensive, and logistical capabilities of a person engaged in warfare in some direct form. This encompasses scenarios ranging from the solo unit behind enemy lines, the operational deployment of forces and resources, to strategic theater. Exemplary embodiments include building or configuring a highly advanced and aware system, facilitated by AI, driven by cloud and edge computing, to allow decisions and tactical advantage be deployed and calculated at the level it needs first. Exemplary embodiments may be configured to address both the kinetic real world as well as digital cyberspace, incorporate offensive and defensive technology, and be primarily driven by the concept to augment forces to support and counter threats as well as malicious enemy AI.

Abstract: A gate apparatus includes: an exit gate door; a first biometrics information acquisition unit that acquires, from a user who moves toward the exit gate door in a closed state, first target biometrics information to be compared with registered biometrics information registered in advance; a second biometrics information acquisition unit that acquires second target biometrics information to be compared with the registered biometrics information from the use who stops in front of the exit gate door when there is no matching in a comparison between the first target biometrics information and the registered biometrics information or the comparison is unable to be performed; and a door control unit that opens the closed exit gate door in accordance with a result of a comparison between the first target biometrics information or the second target biometrics information and the registered biometrics information.

Abstract: The invention relates to a method of controlling a plurality of vehicles, performing the same mission cycle, comprising mapping a first set of planned degrees of progress (CCP1) to the cycle, controlling the vehicles to start the cycle at respective different points in time, determining deviations of the vehicles from a respective planned degree of progress (CCP1i) of the first set of planned degrees of progress (CCP1), mapping, based on the determined deviations, a second set of planned degrees of progress (CCP2) to the cycle, and controlling the vehicles so as to minimize deviations of the vehicles from a respective planned degree of progress (CCP2i) of the second set of planned degrees of progress (CCP2).

Abstract: Cognitive and mood states of a real world person are assessed according to activity in a virtual world environment with which the person interacts. The virtual world is configured to provide interactive experiences for assessing the person's cognitive and/or mood states. The system requires configuration of a session avatar during each virtual world session to provide then-current insight into the person's mood state. The system may require configuration of an avatar reflective of the person's state. The system requires the person to configure the virtual world environment during each virtual session to provide then-current insight into the person's mood state. The system permits the user to visit destinations, perform tasks and play games that are included in the environment for the purpose of providing insight into the person's cognitive and/or mood states according to the person's selections and/or performance.

Abstract: The disclosed behavior training system and method uses a combination of modified video self-modeling techniques, generalization and applied behavior analysis techniques to effectively teach new target behaviors. According to an embodiment, a system and/or method includes: receiving a selection of a target behavior; constructing a visual representation of a user environment, sending, to the user electronic computing device, the constructed visual representation of the user environment, generating a behavioral clip related to performing the target behavior, receiving a selection of the stimulus object and in response to receiving the selection of the stimulus object, sending, to the user electronic computing device, the generated behavioral clip and one or more rewards to encourage the user to continue to engage with the behavior training system.

Abstract: A method for automatically assessing information processing speed in a test subject is disclosed. In the inventive method, a first qualimetric activity parameter for sensorial transmission, cognition and motoric output activity is determined and a second qualimetric activity parameter for sensorial transmission and motoric output activity is determined. A third qualimetric activity parameter for cognition is determined by comparing the first and the second qualimetric activity parameters to each other, and the information processing speed in the test subject is assessed based on the first, second and third qualimetric activity parameters. The information processing speed can be determined by comparing the determined qualimetric activity parameters to a reference and the subject's cognitive impairment can then be determined from the processing speed. The inventive method can be computer implemented. A mobile device or system for carrying out the disclosed methods is also disclosed.

Abstract: Systems and apparatuses for generating customized user output are provided. The system may collect sensor data, associated with the user, from a variety of sources. The system may use the sensor data to generate a customized user output. The system may analyze the sensor data, and determine, based on the sensor data and the customized user output, one or more user recommendation outputs. The system may update the customized user output based on additional or subsequent sensor data, and/or based on whether or not the user recommendation output was completed, as determined from subsequent sensor data.

Abstract: A method implemented by a computing device for helping a particular user use a user interface (UI). Electroencephalography (EEG) data is obtained that indicates brain activity of a particular user during a period in which that user views the UI and/or interprets help information that describes how to use the UI. Based on the EEG data, the computing device selects, from among multiple predefined cognitive states, the one or more cognitive states that characterize the particular user during the period. The computing device assists the particular user to use the UI by customizing the help information for the particular user based on the one or more selected cognitive states. A complementary computing device and computer program product are also disclosed.

Abstract: Systems and methods are configured to perform machine-learning-based predictive behavioral response. In various embodiments, one or more behavioral monitoring data objects are identified and processed using a behavioral pattern prediction machine learning model to generate a behavioral pattern prediction model. The behavioral pattern prediction model is processed using a risk generation machine learning model to generate a risk model, wherein: (i) the risk generation machine learning model is generated based at least in part by one or more risk factors, and (ii) the risk model comprises a per-risk factor score for each risk factor of the one or more risk factors. The risk model is processed using an adjustment generation machine learning model to generate an adjustment model and one or more prediction-based actions are performed based on the adjustment model.

Abstract: When the display is controlled by the head-up display used in the vehicle, prior to the display of the superimposed contents to be superimposed and displayed on the specific superimposed object existing in the foreground of the vehicle, the non-superimposed content which has substantially the same meaning as the superposed content to be superimposed and displayed on the foreground in a non-superimposed state on the superimposed object is superimposed and displayed on the foreground.

Abstract: Devices and techniques are generally described for adaptive targeting for voice notifications. In various examples, first data representing a predicted likelihood that a first user will interact with first content within a predefined amount of time may be received. A first set of features including features related to past voice notifications sent to the first user may be determined. A second set of features including features related to interaction with the first content when past voice notifications were sent may be received. A first machine learning model may generate a prediction that a voice notification will increase a probability that the first user interacts with the first content based on the first data, the first set of features, and the second set of features. Audio data comprising the voice notification may be sent to a first device associated with the first content.

Abstract: An apparatus for screening, treatment, monitoring and/or assessment of visual impairments, comprising electronic means for simultaneously applying two separate and unrelated processing methods to images presented to a patient's eyes: a first processing method being applied to an non-amblyopic eye (the eye with the better vision), and a second processing method being applied to an amblyopic eye (the weaker eye, or the impaired eye). A method for screening, treatment, monitoring and/or assessment of visual impairments, comprising: a. defining a starting point, wherein differences between a patient's eyes are completely, or as closely as practically possible, corrected, to enable two identical or similar images to be transferred to the brain from the patient's eyes; b. defining an ending point, wherein there is no correction applied to any of the patient's eyes; c.

Abstract: A data corpus is partitioned into text strings for header classification. A group characteristic is computed for a text string, and whether the group characteristic satisfies a group characteristic criterion is determined. The text string may be disqualified from header classification if the group characteristic criterion is not satisfied, or one or more font characteristics may be determined for the text string if the group characteristic criterion is satisfied. A font characteristic that meets one or more prevalence criteria may be identified and evaluated to determine whether the font characteristic meets at least one font characteristic criterion. The text string may be disqualified from header classification if the font characteristic criterion is not satisfied, or if the font characteristic meets the font characteristic criterion, the text string is classified as a header, and tagged content is generated by applying a header tag to the text string.

Abstract: Systems and methods are provided for determining a health indicator, such as a life expectancy, of a target person using a proxy model comprising an artificial neural network, in lieu of more complex, costly, and/or invasive health assessment processes. The artificial neural network may be constructed from labeled training data comprising a plurality of activity data training sets, each set including personal activity metrics associated with activities performed by a respective training person as derived from sensor data obtained via one or more mobile electronic devices (e.g., a smartphone or a wearable device) of the respective training person. The trained artificial neural network may then obtain and process an activity data set associated with the target person to determine a health indicator of the target person.

Abstract: A system and associated methods facilitate administration of assessments within an extended reality learning environment. Assessment recordings captured during administration can be used for grading and professional development purposes, and can also serve to enable students to “enter” assessment recordings during future study sessions to aid in understanding of educational concepts. The system further facilitates collaborative learning through review sessions that can use the assessment recordings to provide and record feedback to further improve learning outcomes.

Abstract: A presentation service generates an audience interface for an electronic presentation. The audience interface may simulate an in-person presentation, including features such as a central presenter and seat locations for audience members. The audience members may select emotes which may be displayed in the audience interface. The emotes may indicate the audience members' opinion of the content being presented. The presentation service may enable chats between multiple audience members, grouping of audience members private rooms, and other virtual simulations of functions corresponding to in-person presentations.

Abstract: A system for improving personality traits is provided. The system includes at least one processor configured to provide an option to a user for selecting at least one personality trait from a plurality of personality traits. The processor is also configured to suggest at least one alternate personality trait for selection based on the personality trait selected by the user, and allow selection of at least one of the suggested alternate personality traits or proceed with the earlier selection. The processor is further configured to suggest one or more actions based on the personality trait selected by the user, wherein the action is to cause an improvement in the selected personality trait of the user.

Abstract: Various implementations disclosed herein include devices, systems, and methods for performing content generation based on audience engagement. In some implementations, a method includes presenting a first portion of content. Engagement data is obtained for an audience comprising a plurality of persons while the first portion of the content is presented. Based on the engagement data, a collective engagement level of the audience is determined for the first portion of the content. A second portion of the content that has not been presented is adjusted based on the collective engagement level of the audience for the first portion of the content in order to satisfy an engagement threshold. After adjusting the second portion of the content, the second portion of the content is presented to the audience.

Abstract: The present disclosure relates to a computer-implemented method and system for improvements to emotional and behavioral interfaces. In an example, a first group of color-coded regions is displayed representing emotions and behaviors for data collected from one or more participants using an input method. Correspondences are determined within the first group of color-coded regions. Individual ones of the first group of color-coded regions are provided with a first portion of pixels in a first color associated with a value in the data based in part on the correspondences. A second portion of pixels is provided with a second color associated with a neutral indication. Changes to the data over discrete or random intervals of time are determined as modifying the correspondences. A dynamical change is applied to the first portion of pixels and the second portion of pixels to update the display of the first group of color-coded regions.

Abstract: Distributed feedback-circuitry uses operant conditioning to train a subject to achieve a target state of consciousness. The distributed feedback-circuitry includes remote circuitry having both a feature-extraction circuit and a controller. The former receives a real-time electroencephalogram and information indicative of a target state from the subject and generates a measured feature-set and a target feature-set therefrom. The latter causes transmission of a conditioning stimulus to be listened to by the subject. The conditioning stimulus causes the measured feature-set to be driven towards the target feature-set. The controller also causes the conditioning stimulus to comprise a conditioning-audio stimulus that transitions between being a base-audio stimulus with no reward stimulus and being a base-audio stimulus that has been operated on to incorporate a reward stimulus. The controller causes this transition based on progress made in causing the measured feature-set to conform to the target feature-set.

Abstract: Artificial intelligence (AI) assisted technology for grocery recommendations and nutrient optimization includes an intuitive application (app) that can use AI to improve grocery recommendations during grocery shopping to optimize nutrition and encourage users to purchase foods that can help the user receive more complete nutrition. Automatically capturing nutritional information while grocery shopping can assist users seeking to improve their health because it operates while users are performing their grocery shopping, when users have the best opportunity to shape the foods that will be available to them to consume. Nutritional optimization while grocery shopping can improve the use of resources including time and money (due to the cost of food) because it can provide suggestions to address nutritional opportunities that represent nutritional surpluses and nutritional opportunities that represent nutritional deficits.

Abstract: A system and method for evaluation, detection, conditioning, and treatment of neurological functioning and conditions which uses data obtained while a person is engaged in simultaneously in a range of primary physical tasks combined with defined types of secondary activity, such as listening, reading, speaking, mathematics, logic puzzles, navigation of a virtual environment, recall of past stimuli, etc. The data from the physical and secondary activities are combined to generate a composite functioning score visualization indicating the relative functioning of areas aspects of neurological functioning; including those in which deficiencies may be present, which are early indicators of possible neurological conditions. Through algorithmic recommendations combined with expert and user input, a conditioning regimen targeting neurological aspects of interest paired with periodic testing allows the user to track their progress in these areas over time.