Abstract: A method, system and computer-usable medium for providing composite cognitive insights comprising receiving streams of data from a plurality of data sources; processing the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching and generating a sub-graph for incorporation into a cognitive graph; processing the cognitive graph, the processing the cognitive graph providing a plurality of individual cognitive insights; generating a composite cognitive insight, the composite cognitive insight being composed of the plurality of individual cognitive insights; and, providing the composite cognitive insight to a user via a set of cognitive media content.

Abstract: Various embodiments are directed to a central executive training (CET) platform that targets central executive processes, rather than short term memory. Central executive deficits have been linked experimentally and developmentally with Attention Deficit Hyperactivity Disorder (ADHD) symptoms and impairments. Unfortunately, substantial evidence indicates that conventional working memory training programs fail to improve these symptoms and impairments. This discrepancy may reflect insufficient targeting, as extant protocols focus on short term memory and do not adequately engage the specific central executive components linked with the disorder's behavioral and functional impairments.

Abstract: The present invention relates to a stimulus information compiling method for tests, characterized in that, the stimulus information compiling method comprises the following steps: selecting and using stimulus information which follows a statistics-normal distribution and is analyzed and measured by validity to form a stimulus information database (Q); reasonably setting at least one stimulus information to be a test including at least one test sequence, for a subject to make a selection according to his or her personal interests; comparing a test score of the subject with that of a valid sample person in a normal distribution model, thereby confirming the distribution of the subject in each cognitive dimension. The present invention compares a test score of the subject with that of a valid sample person in a normal distribution model, thereby confirming the test result of the subject.

Abstract: Systems, methods, and non-transitory computer-readable media can determine that broadcasting of a live content stream has concluded. The concluded live content stream is converted to a post live media content item. The post live media content item corresponding to the concluded live content stream is published through the social networking system. The post live media content item remains accessible through the social networking system for a pre-determined period of time.

Abstract: Embodiments for medical condition communication management by one or more processors. A maturity score and medical condition acceptance score relating to a medical condition of a user may be estimated according to data collected from one or more devices associated with the user. The maturity score may represent a measure of an emotional state, age, and cognitive reasoning ability. The medical condition acceptance score may represent a measure of understanding and acceptance capability of the medical condition. One or more search results responsive to a search query related to the medical condition submitted by the user may be adjusted according to the maturity score, the medical condition acceptance score, and an appropriateness of communications for the one or more search results based on a plurality of identified contextual factors.

Abstract: The disclosed apparatus, systems and methods relate to pupillary assisted communication systems, devices and methods. A classification algorithm such as a hybrid classification algorithm is utilized to utilize at least one pupillary-response sensing device and at least one non-pupillary response sensing device to generate and process subject data to improve feedback systems and improve non-verbal communication and stimulus-response operations systems.

Abstract: The exemplified system and method facilitates process, grammar, and framework to perform analytics operations, and visualize the result of analytics operations using augmented reality. The exemplified system and method can be used, but is not limited to, for augmented reality presentations of physical objects as paper documents, digital or printed signage, posters, physical or digital displays, real-world objects, indoor and outdoor spaces, hardware device displays, vehicle dashboards, and other real-world scenes.

Abstract: Provided are techniques for enhancing images with emotion information, comprising capturing a plurality of images; identifying an individual in the plurality of images; analyzing the plurality of images for emotional content; converting the emotional content into emotion metadata; correlating the emotional content with the individual to produce associated emotion metadata; and storing the associated emotion metadata in conjunction with the captured image in a computer-readable storage medium. The disclosed techniques may also include capturing physiological data corresponding to an individual that captures the image; analyzing the physiological data for a second emotional content; converting the second emotional content into a second emotion metadata; storing the second emotion metadata in conjunction with the captured image in the computer-readable storage medium.

Abstract: Behavioral profiling with actionable feedback methodologies and systems is provided. Benchmarking of profiles against empirical data can be utilized to determine areas of weakness in profiles or asymmetries relative to a benchmark. Feedback methodologies allow for optimization of individualized profiles and re-evaluation of behavioral profiling based on empirical data, as well as optimal profile grouping.

Abstract: Provided are techniques for enhancing images with emotion information, comprising capturing a plurality of images; identifying an individual in the plurality of images; analyzing the plurality of images for emotional content; converting the emotional content into emotion metadata; correlating the emotional content with the individual to produce associated emotion metadata; and storing the associated emotion metadata in conjunction with the captured image in a computer-readable storage medium. The disclosed techniques may also include capturing physiological data corresponding to an individual that captures the image; analyzing the physiological data for a second emotional content; converting the second emotional content into a second emotion metadata; storing the second emotion metadata in conjunction with the captured image in the computer-readable storage medium.

Abstract: A system for classification using expert data includes at least a server. The system includes an expert submission processing module operating on the at least a server, the expert submission processing module designed and configured to receive at least an expert submission relating constitutional data to ameliorative recommendation data. The system includes a model generator operating on the at least a server, the model generator designed and configured to generate, using the at least an expert submission, and a constitutional inquiry, an ameliorative output. The system includes a client-interface module operating on the at least a server, the client-interface module designed and configured to receive, from a user client device, the constitutional inquiry and transmit, to the user client device, the ameliorative output.

Abstract: A predictive analytics system and method in the setting of multi-class classification are disclosed, for identifying systematic changes in an evaluation dataset processed by a fraud-detection model by examining the time series histories of an ensemble of entities such as accounts. The ensemble of entities is examined and processed both individually and in aggregate, via a set of features determined previously using a distinct training dataset. The specific set of features in question may be calculated from the entity's time series history, and may or may not be used by the model to perform the classification. Certain properties of the detected changes are measured and used to improve the efficacy of the predictive model.

Abstract: Systems and methods for managing professional development are provided. A client provides information indicating a current status, which may concern a professional task performed by the client and a portion of income associated with the task. The progress of the client toward a professional goal is calculated, and a recommendation concerning an appropriate next step is communicated to the client. Professional goals may include a level of income, efficiency, type of tasks performed, etc.

Abstract: A system provides an intervention for a user and comprises at least one processor. The system monitors behavior and context of a user to generate a behavior history. One or more models are utilized to determine an intervention for the user to induce a behavior modification, wherein the one or more models map interventions to user context and behavior and utilize the behavior history to determine an effective intervention for the user. The intervention is provided to the user and feedback is received in response to the intervention. The one or more models are updated based on the feedback. Embodiments of the present invention further include a method and computer program product for providing an intervention to a user in substantially the same manner described above.

Abstract: A method for operating a cognitive monitor includes measuring a cognitive tone of a user, determining a categorization of the cognitive tone of the user, selecting an effector using the categorization of the cognitive tone of the user, wherein the effector is selected to achieve a predicted future cognitive tone in the user, and applying the at least one effector using a feedback mechanism of the cognitive monitor.

Abstract: The present disclosure provides systems and methods for assessing a mental state of a subject in a single session or over multiple different sessions, using for example an automated module to present and/or formulate at least one query based in part on one or more target mental states to be assessed. The query may be configured to elicit at least one response from the subject. The query may be transmitted in an audio, visual, and/or textual format to the subject to elicit the response. Data comprising the response from the subject can be received. The data can be processed using one or more individual, joint, or fused models. One or more assessments of the mental state associated with the subject can be generated for the single session, for each of the multiple different sessions, or upon completion of one or more sessions of the multiple different sessions.

Abstract: Disclosed is a computer-implemented method for biofeedback training of a subject, the method including iteratively obtaining a series of biomarkers, each biomarker being representative of a bio-signal of the subject on a first time window; computing an intermediate threshold Thrintermediate(t) based on the series of biomarkers on a second time window, such that the intermediate threshold on the second time window could provide the subject with an expected reward ratio; computing a threshold Thr(t) as the weighted sum of the intermediate threshold Thrintermediate(t) and the threshold of the previous iteration Thr(t?1) and reporting in real-time a reward to the subject based on the difference between the biomarker and the computed threshold Thr(t), wherein at each iteration the time windows are moved forward in time. Also disclosed is a system for implementing the method.

Abstract: The disclosure relates to a story machine, a control method and control device thereof, a storage medium and a story machine player system are provided. The story machine includes circuitry configured to detect movement indication information for indicating a first movement path of the story machine; control the story machine to move along the first movement path based on the detected movement indication information; detect play indication information for indicating multimedia information; control the story machine to stop moving in response to detecting the play indication information; and play the multimedia information based on the detected play indication information.

Abstract: A fitness tracking system and methods collecting fitness data for a user during a workout session are disclosed. The fitness tracking system utilizes a versatile data structure for robustly representing complex workout session templates and recording fitness data associated with individual workout sessions. The versatile data structure enables detailed fitness data to be recorded in association with complex workout session templates in a manner that enables detailed analysis and a less cumbersome user experience.

Abstract: A system and method for facilitating and maintaining various states of a user consciousness, including the transition between a conscious and unconscious state, is provided. The system and method include use of a smart device having a user interface, a biometric sensor coupled to a user and configured to transmit the user's biometric data to the smart device and an environmental sensor configured to transmit environmental data to the smart device. The smart device controls one or more environmental systems proximate the user and an audio/visual device proximate the user to facilitate transitioning the state of the user.

Abstract: The present disclosure is directed to systems, methods and devices for providing artificial intelligence (AI) entity-specific feedback. Official content related to an entity or entity figure may be extracted and analyzed. The extracted content may be classified in an entity corpus based on a determined language style of the content. An input into a conversational AI system may be received. A plurality of potential responses related to the input may be determined from one or more entity corpus. Each of the plurality of potential responses may be ranked according to a rank match value calculated for each of the plurality of determined responses, and at least one of potential responses may be provided as feedback.

Abstract: The present invention provides methods and systems for determining mental states of a user based on mental load index, comprising: analysing image data to identify feature(s) of at least one eye while presenting user with dynamic physiological-responsive stimuli; calculating, based on the identified feature(s), spatiotemporal fluctuations over time for the feature(s); calculating, based on the spatiotemporal fluctuations, spectral pattern(s) having a first and second frequency; calculating mental load pattern(s) by bounding ratio between the spectral patterns for the first and second frequencies in time interval(s) corresponding to stimuli level changes; identifying correlation between each mental load pattern(s) and the stimuli level in the time interval(s); and determining, based on the correlation, a mental load index comprising time interval(s) corresponding to a plurality of mental states identified by comparing each mental load pattern(s) to a threshold; and classifying mental state(s) based on the ment

Abstract: Systems and methods are provided for managing organizational or corporate structures, including the employee roles or activities administered by human resources. A portion of the role datasets received within human resource records may be used to generate role tokens comprising unique datasets that have been truncated and deduped. Such tokens may be extracted based on assigned prioritization scores, and further assigned training labels representing categorical levels. Predictive labels may be assigned to a remaining portion of the extracted tokens via a logistic regression classifier, and a model organizational dataset may be generated based on the assigned training labels and the assigned predictive labels. The prediction certainty of the role tokens in the model organizational dataset may be used to map the identified role tokens to the roles represented in the human resource records.

Abstract: Systems and methods for adaptive delivery of audio and/or video channels in a group exercise class are provided. Exemplary methods include: receiving audio and video from the selected source over a communications network, the audio and video comprising the group exercise class; providing the audio and video from the selected source, a volume level for each channel of the audio being at a respective initial value, the audio mixer including a control for each audio channel associated with the selected source; receiving an input indicating a change in volume to an audio channel using the audio mixer; changing a volume of the audio channel responsive to the input; making a first volume change to a volume of another audio channel when a first condition is satisfied; and making a second volume change to the volume of the another audio channel when a second condition is satisfied.

Abstract: A method of operating a fitness tracking system includes generating movement data corresponding to movement of a user, sampling the generated movement data at a first sampling rate as first sampled data when operating the fitness tracking system in an activity detection mode, and sampling the generated movement data at a second sampling rate as second sampled data when operating the fitness tracking system in a workout mode. The second sampling rate is greater than the first sampling rate.

Abstract: Described is a system for weakening an undesirable memory. The system initiates application of a first pattern of spatiotemporally distributed transcranial stimulation via a set of electrodes to a subject who is in a calm mental state, causing association of the first pattern of spatiotemporally distributed transcranial stimulation with the calm mental state. The system then initiates application of the first pattern of spatiotemporally distributed transcranial stimulation via the set of electrodes when the undesirable memory is recalled by the subject, causing recall of the calm mental state and reconsolidation of the undesirable memory with the calm mental state.

Abstract: A system and method of detecting and treating autism spectrum disorders and other neurological conditions uses associations of stimuli in one mode, such as images, with stimuli in another mode, such as sounds.

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: An automated method for assessing a behavioral profile of an individual based on image processing, the behavior profile being specific to a hypothetical or actual event, the method including the steps of detecting non-verbal communication from a physiognomical expression of the individual based on image data by a first computer algorithm, the image data being created by exposing the individual to a stimulus and obtaining the physiognomical expression of the individual in response to the stimulus, correlating features of the non-verbal communication to a topical area by a second computer algorithm, and generating a report corresponding to the individual that reflects the correlation between the non-verbal communication and the topical area, the report including the behavior profile of the individual.

Abstract: A scale includes a weigh station for receiving items to be weighed, an operator interface configured to display information associated with scale operations and a controller operably coupled to the operator interface to effect display of information. The operator interface may be in the form of a touch-screen display that is used to facilitate ease of use and scale adjustment.

Abstract: A cloud-based system and method for predictive modeling and positive adjustment of behavioral health are disclosed. The system includes sensors collecting data associated with subject location and activity, and linked to a subject computing device. The system translates data aggregated from the data sources into state information, and iteratively updates, via the translated state information, a de-identified contextual model for the subject which in an embodiment may be a Life Context Graph as described herein. An end point server compares the de-identified contextual model to a de-identified aggregate of peer-based contextual models, wherein data security and privacy is preserved, and the system further iteratively updates the subject contextual model based thereon. The system accordingly identifies behavioral trigger actions based on the collected data and/or the updated subject contextual model, and generates a predetermined clinical response corresponding to the identified behavioral trigger action.

Abstract: A system, method and computer program product for augmenting, in real-time, queries/questionnaires administered to a subject by coupling the physiological response of the subject for a given question-answer pair. Further, a method/system augments/annotates answers to questionnaires/surveys/etc. with automatically detected physiological or emotional reactions of the person answering the question/survey/etc. In an embodiment, methods are implemented to: create an augmented representation of question-answer-emotion (i.e., annotating questions/answers from assessments to physiological reactions); and consider the augmented representation and the user profile to suggest actions based on such associations.

Abstract: Management of a diabetic condition may be performed by detecting a mealtime and/or an increased level of activity associated with a user. The mealtime is detected based one or more mealtime indicators that may indicate a likelihood of an occurrence of a mealtime. Each mealtime indicator provides additional context around the likelihood of a mealtime. To assist in managing the diabetic condition, a user's elevated activity levels may be detected. The activity level of a user is detected based on one or more activity indicators. Each activity indicator provides additional context around the likelihood of an increased level of activity by the user. Management of the diabetic condition may be performed proximate a mealtime or a user exercising to increase the efficacy of management of the diabetic condition.

Abstract: The present disclosure describes talent-identification systems and methods that can be used by companies to assist in the recruitment process for new employees. Additionally, the systems and methods can be used by job seekers to determine ideal career fields and industries. The systems and methods may employ an array of neuroscience-based tests to assess a user's career propensities, after which the systems and methods can provide career recommendations to the user or report on employment suitability of the user to a company.

Abstract: Embodiments of the invention relate generally to systems, methods, and apparatus for assessing consumer perception of business features, such as brands, products, and services. A graphical user interface presents a consumer with a prime associated with the business feature. The graphical user interface presents a target to be sorted by the consumer. An instruction from the consumer is received (via a user input device) to sort the target into a bin presented on the graphical user interface. Consumer response data associated with the instruction from the consumer is generated and, based on the consumer response data, the consumer's perception of the business feature is assessed.

Abstract: An enhanced viewing device may move with a user as the user moves around the room. An amount of movement associated with the enhanced viewing device may be determined. Based on the amount of movement, an enhanced viewing experience may be determined and displayed to the user.

Abstract: A method, system, and computer program product are provided for classifying spoken audio content with a cognitive audio classifier by applying a set of distorted audio resources through a set of speech-to-text models STTi (STT1 . . . STTn) to get a set of interference coherence scores based on the transcript for each speech-to-text model STTi, thereby generating a measured baseline Mi (M1 . . . Mn) and a practical baseline Pi (P1 . . . Pn) that is associated with a coherence matrix for the audio effects AEj (AE1 . . . AEk) that were used to generate the distorted audio resources, thereby generating training data for use in training a cognitive audio classifier which classifies input spoken audio content to measure a quality of detected vocabulary elements from the spoken audio content under the set of audio distortion effects for each speech-to-text model STTi.

Abstract: A computer-implemented method for optimizing object placement on a touchscreen graphical user interface when a distracted user selects incorrect coordinates. Through a variety of sensors, a device with a touchscreen graphical user interface may be able to survey the surrounding environment and distinguish specific types of stimuli, that may distract a touchscreen user. The method includes calculating a user distraction score based on the surrounding stimuli and associates it the coordinates of an object on the touchscreen and detecting if the user touched the screen at the wrong location. The placement of the object a user intended to engage on the touchscreen graphical user interface is corrected to the location which the user expects the object to be, based upon the user distraction score and the touchscreen coordinates which the user initially engaged.

Abstract: A Task Enabled Switch System comprising: A Data Server with a Task Manager Module, Skill Management Module and a Switch Device Management Module; A Client Device with a Task Player; A Switch Device with a Task Enabled Switch; A user uses the Client Device to download the tasks linked with the Switch Device. Once the tasks are completed successfully, the Client Device will turn on the Task Enabled Switch in the Switch Device. The user can also accumulate reward points, or reward badges, or reward pictures for tasks done, and redeem the points to open the Switch Device. Several lock/latch designs with the said Task Enabled Switch are also presented. A game system comprises of the game pieces with 2D Barcodes, Skill Management Module and Task Enabled Switch is also revealed.

Abstract: A method for determining a state of mind of a user may include receiving one or more strings of characters composed by the user, and determining, by a processing device, the state of mind of the user by processing the one or more strings of characters. The processing of the one or more strings of characters may include identifying similarities of the one or more strings of characters with other strings of characters indicative of the state of mind. The method may also include determining, based on the one or more strings of characters, a severity of the state of mind of the user.

Abstract: In a control method relating to the field of electronic device control technologies, and in particular, to a technology for controlling terminal state switching, when receiving a state switching instruction in a lock screen state, a terminal obtains motion data within a predetermined lime period of the terminal and an intelligent wearable device bound to the terminal. When a deviation between two groups of motion data is less than a deviation threshold, the terminal performs state switching. The terminal state switching is implemented through cooperation of the intelligent wearable device, and therefore a possibility of leakage of information in the terminal can be reduced.

Abstract: There is provided an information processing apparatus including a circuitry configured to set a threshold value to define each user group based on position information and retrieve a state of each user detected based on sensing data provided from a user terminal. The circuitry is further configured to integrate the detected states for each user group defined based on the position information to generate integrated state information.

Abstract: Systems and methods to correlate user behavior patterns within an online game with psychological attributes of users exhibiting the user behavior patterns are disclosed.

Abstract: A method for remotely monitoring persons and their behavior applies to a person wearing an electronic device which is tracked. The method includes sensing posture and changes in posture of the person within a tracking area to generate posture sensing signals, acquiring wireless signals of the electronic device and further obtaining changes in position of the person according to signal strength of the wireless signals of the electronic device, and transmitting the posture sensing signals and the changes in position of the person to at least one server to analyze and identify the position and behavior of the person and issue warning to caregiver if appropriate. A behavior tracking device is also provided.

Abstract: An instruction that is receivable by a Bluetooth device during a waking period of the Bluetooth device is transmitted, wherein the waking period of the Bluetooth device occurs cyclically with a specified cycle length and the instruction indicates to the Bluetooth device that a communication data is forthcoming to the Bluetooth device. A data transmission mode for transmission of the communication data is selected based at least in part on a first length of time needed to transmit the communication data and a second length of time equal to the waking period of the Bluetooth device. The communication data is transmitted to the Bluetooth device using the selected transmission mode.

Abstract: An example method for estimating an emotion based upon a facial expression of a user can include: receiving one or more captured facial expressions from the user at a visual computing device; comparing the one or more captured facial expressions to one or more known facial expressions; and assigning an emotion to the plurality of captured facial expressions based upon the comparing.

Abstract: An information sharing system includes a first terminal, a second terminal and an information management apparatus. The first terminal is configured to control a first display to output a first screen shareable by a plurality of users. The second terminal is operated by a user of the plurality of users and the second terminal is configured to control a second display to output a second screen to be viewed by the user. The information management apparatus transmits, in response to the screen acquisition request, a request for image data to the first terminal, acquires image data of the first screen from the first terminal, and updates screen information according to the image data. The second terminal further receives the screen information from the information management apparatus, and controls the second display to update the output of the second display based on the screen information.

Abstract: The Mavin systems and computer-implemented processes of the invention analyze, score, and report the results from Likert scale survey questions. The systems and methods address three weaknesses in traditional Likert scale analyses by providing: (1) a scoring procedure that is sensitive to all levels of response; (2) a determination and designation of a standard score used to determine whether the results meet that standard; and (3) a scoring process used to determine the degree to which a given score exceeds or fails to meet this standard. In addition, the Mavin systems and methods support recalculation and adjustment to the scoring model when available data support such adjustments.

Abstract: Systems and methods are described for time-shifting interactions by sharing an artificial intelligence personality (AIP). An AIP is an understanding construct that may control a variety of communication experiences to support a sense of ongoing social connectedness. An AIP may be instantiated within one or more HIEs that interact with humans in a human, cartoon or pet-like manner. HIEs may include robots, robotic pets, toys, simple-to-use devices, and graphical user interfaces. The AIP may be periodically updated based on human interactions sensed by the HIEs as well as knowledge of historical and ongoing events. The systems may provide users with intuitive machine companions that exhibit an expert knowledge base and a familiar, cumulative personality. HIEs may continue to operate without interruption in the presence of telecommunications delays or interruptions, and/or the absence of one or more human participants; allowing participants to “time-shift” their sense of connectedness.

Abstract: An presentation generator is disclosed for generating presentations for interacting with a user on a personal topic of, e.g., the user's selection, wherein the presentations assist the user in obtaining a greater awareness of his/her motivations and/or behaviors relating to the topic. In one embodiment, the presentation generator generates and presents to the user textual observations, questions, and/or statements for the user's consideration. Such presentations use and/or are consistent with textual descriptions obtained from: (a) the results of one or more personality/motivation test results, and (b) user inputs, e.g., regarding the selected topic together with his/her confidence in the validity of such inputs.