Abstract: A virtual or augmented reality system is disclosed which is capable of both (i) evaluating prospective implantable neurostimulator patient candidates, and (ii) determining optimal stimulation settings for already-implanted neurostimulation patients. Physiological sensors are included with the system to provide objective measurements relevant to a patient's symptoms, such as pain in a Spinal Cord Stimulation (SCS) system. Such objective measurements are determined during the presentation of various virtual or augmented environments, and can be useful to determining which patients are suitable candidates to consider for implantation. Stimulation settings for already-implanted patients may be adjusted while presenting a virtual or augmented environment to the patient, with objective measurements being determined for each stimulation setting. Such objective measurements can then be used to determine optimal stimulation settings for the patient.

Abstract: One embodiment provides a method, including: detecting, at an electronic device, an event has occurred; detecting, using a device sensor, that the electronic device is proximate to at least one other person; accessing, in a storage location, a rule set including a rule regarding the detecting that the electronic device is proximate to at least one other person; identifying, using a processor of the electronic device, a type of notification for the event based on the rule set; and providing, using an output device of the electronic device, a notification of the type identified. Other aspects are described and claimed.

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: Embodiments of the present disclosure provide systems and methods for training a machine-learning model for predicting emotions from received media data. Methods according to the present disclosure include displaying a user interface. The user interface includes a predefined media content, a plurality of predefined emotion tags, and a user interface control for controlling a recording of the user imitating the predefined media content. Methods can further include receiving, from a user, a selection of one or more emotion tags from the plurality of predefined emotion tags, receiving the recording of the user imitating the predefined media content, storing the recording in association with the selected one or more emotion tags, and training, based on the recording, the machine-learning model configured to receive input media data and predict an emotion based on the input media data.

Abstract: An example method includes obtaining user consent to collect and make use of personal information for providing behavioral coaching; obtaining contextual and fitness related information of a user; determining, by inputting the contextual and fitness related information into a model that defines a motivational state, a current motivational state of the user; determining, based at least in part on the current motivational state of the user, a type of information to output as part of the behavioral coaching, wherein the type of information is selected from a group comprising education information, inspirational information, and achievement information; determining, based on the type of information to output, a channel for outputting the type of information as part of the behavioral coaching; and outputting, by the computing device, via the channel, a notification including content of the type of information.

Abstract: A processor based input system is provided for automatically determining the cognitive assessment of a human as an input source to a processor based automated system configured for use in a human-machine team. In some embodiments, the processor based input system comprises an input device, a cognitive assessment input system (CAIS) and a processor based automated system. In some embodiments the CAIS comprises an interaction data acquisition module configured to receive input data from the input device as interaction data, a cognitive indicators and work patterns analysis module configured to determine a cognitive measure from the interaction data, an intervention building module configured to determine automation directives for a processor based automated system from the cognitive measure and the automated system is configured to receive and execute automation directives from the CAIS as an input source to the processor based automated system.

Abstract: Apparatus and methods are provided for enabling a sensor device to receive and transmit updates effectively via one or more rules applied to a plurality of event records for transmission by an event management server. In one exemplary embodiment, the event management server manages the plurality of event records (such as records of deletions or updates to a user's profile or goals), via an event suppression application. The event suppression application ensures that event records are not redundantly provided to the sensor device and/or irrelevant records (such as those which no longer contain the most up-to-date information) are not provided to the sensor device. Hence, only the most relevant event records are provided and that those which are not relevant are ignored (not transmitted). In this manner, the sensor device may operate more efficiently to receive only the most relevant transmissions.

Abstract: Various embodiments provide systems and methods for identifying impairment using measurement devices.

Abstract: A method for dynamically allocating server resources includes receiving a request from a client system, wherein the request comprises a request for a first set of streaming data, providing from the server to the client system a first portion of streaming data from the first set of streaming data, wherein the first portion is associated with a first quality of service level, receiving user activity data from the client system for the first portion of the streaming data, determining a second quality of service level for a second portion of the streaming data from the first set of streaming data, providing from the server to the client system the second portion of streaming data from the first set of streaming data, wherein the second portion provided with the second quality of service level, and wherein the first quality of service level is different from the second quality of service level.

Abstract: A subject's Default Mode Network is accessed through corresponding measurements of the Micro-Coherence Oximetry Network Strength (MCO-S). An associated MCO-S system (100) includes a wearable (102), a user device (112) and a processing platform (123). The wearable (102) collects subject information sufficient to enable monitoring and optimization of the subject's Default Mode Network include sensors such as pulse oximetry instrumentation and EEG electrodes to obtain brainwave data, oxygen saturation data, heart rate variability data, and galvanic skin conductance data. Information from the sensors may be communicated to a user device (112), such as a cell phone or VR headset. The user device (112) communicates with a remote processing platform (123) that may execute artificial intelligence functionality and other logic in connection with assessing the patient's micro-coherence network strength and optimizing behavior modification protocols in relation to attributes and objectives of the subject.

Abstract: 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.

Abstract: The present invention relates to methods and pharmaceutical compositions for the treatment of post-operative cognitive dysfunction. In particular, the present invention relates to a method of treating post-operative cognitive dysfunction in a subject in need thereof comprising administering to the subject a therapeutically effective amount of an APJ receptor agonist.

Abstract: The system and method herein provide immersive training using virtual reality technologies used to provide any desired type of immersive training. The training may focus on sexual harassment issues. Some training may focus on the “feeling” of the situation, and it has been found that virtual reality environments described herein provide a particularly effective way of training on the feeling of the situation and related issues in the sexual harassment context.

Abstract: A system and method for a multi-stage brain-computer interface training using neural networks that reliably and predictably maps a user's thoughts to particular movements or actions in a computer-generated environment. The system comprises two stages: a pre-training stage, wherein specific exercises are generated on screen, and the brain activity is mapped to the exercises using a neural network as the user attempts to complete the exercises, and an in-use stage, wherein an initial mapping profile is loaded, brain activity is mapped to in-use interactions using a neural network, and those in-use mappings are compared to a library of stored mappings using a neural network to select a more accurate mapping for use in a given situation.

Abstract: A device, a system and a method for a patient attempting to quit smoking such that the program is configured to cause a computer to execute the steps of: receiving, from a patient-side electronic device, patient's understanding information indicative of the patient's understanding about a smoking-related matter, which is input by the patient, at a patient's understanding information acquisition timing decided based on at least one of an input of information indicative of a current patient's condition and smoking cessation-related health-care history information; deciding, based on the received patient's understanding information and correct response information for the smoking-related matter, whether or not the patient's understanding is incorrect; and, when decided to be incorrect, transmitting, to the patient-side electronic device, cognitive-behavioral therapy (CBT) information based on the correct response information, wherein the CBT information includes information deemed to be correct with respect to t

Abstract: System and method for digitized digit symbol substitution test (DSST) are disclosed. In an example, a display area of a digitized DSST device is partitioned into multiple bins. Further, a series of number symbol pairs is displayed as a lookup table on top of the display, termed as a lookup area. Furthermore, a question and answer (QA) pair corresponding to the series of number symbol pairs to an examinee in multiple trials. In addition, feature values for the QA pair are computed in each of the multiple bins in the trials, wherein the feature values comprise a response time and an accuracy of response by the examinee. Moreover, probabilities of the feature values are determined in each of the multiple bins. Also, an entropy value based on the probabilities of the feature values is computed in each of the multiple bins providing information on distribution.

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: According to various embodiments, a display device may be provided. The display device may include: a receiver configured to receive user data based on an electroencephalography measurement; at least one light source; and a controller configured to control the at least one light source based on the user data.

Abstract: A method that provides a virtual presentation includes receiving a user ID on a computer, creating a user account, registering first and second real-world products on the computer responsive to receiving first and second registration codes, and linking the first and second products with the user account. Responsive to the registering, first and second virtual representations of the respective real-world products are simultaneously displayed together in a virtual room. A control interface allows a user provided access via the user ID to select one of the first and second virtual representations for control. Subsequent access to said user account provides access to both first and second virtual representations without subsequent re-entry of either the first or second registration code.

Abstract: Methods, systems, and computer storage media for providing action-recommendations (e.g., save action, collaboration action, and upload action) using cloud system operations in a cloud system. For example, action-recommendations are predicted using usage data of applications and communicated to a user (e.g., via a prompt) such that the user elects to perform or not perform the action-recommendation. In operation, usage data for an application and an action-recommendation profile are accessed. Determining that an action-recommendation should be generated is based on the usage data and the action-recommendation profile. The determination is further based on action scores and thresholds (e.g., save action, collaboration action, upload action). When the action scores meet certain thresholds, the action-recommendation is generated as a save-action-recommendation, a collaboration-action-recommendation, or an upload-action-recommendation.

Abstract: A system and method are provided for treating excessive or problematic computer use. In at least one embodiment, a method is employed to treat excessive or problematic computer use by acquiring information about the unwanted user activity, monitoring user activity for the unwanted behavior, controlling the behavior when it occurs, enabling the user to record self-observations and evaluating the results. This method may employ a computer based system to treat excessive or problematic computer use which includes configuring a user activity monitor with constraints, programmatically enforcing those constraints, reporting the activities monitored and restricted, and enabling a user to input self-observations. Potential constraints include a complete bar on the user activity, as well as, progressively decreasing the amount of time the user may engage in the activity, i.e. titrating the user activity.

Abstract: A method trains and utilizes an artificial intelligence (AI) system. The AI system receives a question that has contextual features. The method trains the AI system to identify entries in a corpus that have one or more of the contextual features from the question. The method further trains the AI system to: form a set of answers to the question based on identified contextual entries in the corpus; identify and name an entry in the corpus that has a highest quantity of contextual features that match the contextual features in the question as an initial answer to the question; identify and merge multiple other answers to the question from the corpus; and replace the initial answer with the merged answer in order to create a fully trained AI system. The fully trained AI system is then utilized to answer the question with the merged answer.

Abstract: A system and method for validating unsupervised machine learning models. The method includes: analyzing, via unsupervised machine learning, a plurality of sensory inputs associated with a machine, wherein the unsupervised machine learning outputs at least one normal behavior pattern of the machine; generating, based on the at least one normal behavior pattern, at least one artificial anomaly, wherein each artificial anomaly deviates from the at least one normal behavior pattern; injecting the at least one artificial anomaly into the plurality of sensory inputs to create an artificial dataset; and analyzing the artificial dataset to determine whether a candidate model is a valid representation of operation of the machine, wherein analyzing the artificial dataset further comprises running the candidate model using the artificial dataset as an input.

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, apparatus, and method for educating and reducing stress for patients with childhood illnesses or trauma is disclosed, which uses an interactive location-aware toy and a distributed sensor network in a healthcare facility. Patients are educated and calmed by providing location-specific education and stress reduction techniques. The system's implementation logic can be used to coordinate care for patients, track a patient's progress in completing a custom care treatment plan, and create reminders about appointments, medication adherence, or the like. Healthcare providers can better assist and track the progress of the patient's completion of the custom care treatment plan.

Abstract: The present invention relates to a system and method for pupil tracking and eye-markers extracting using an image acquisition device such as a visible-light camera shooting a non-static head. In an embodiment of the present invention eye-markers are extracted from one eye or from both eyes. The extraction from both eyes uses for averaging the results of the two eyes when abnormalities are detected in one of the eyes. In addition, the invention relates to a computerized application, which interacts with a user (for example trough a game or movie, usually in a context of biofeedback), and takes video shooting of the users face and eyes during said interaction.

Abstract: Data processing systems according to various embodiments are adapted to process data regarding the self-awareness of a user for use in the development of the user's executive function. In various embodiments, the data processing system: (1) executes computer-readable instructions that, when executed by the at least one computer processor, facilitate the playing of a game by the user; (2) gathers performance data indicating the user's performance while the user plays the game; and (3) automatically evaluates the performance data to assess, for the user, the ability to remember to perform various tasks, to stay on task, and to coach others by taking perspective, giving feedback, and mentoring them to do well. The data processing system may gather and process related data on various levels and then use this information to assist the user in improving the user's executive function skills.

Abstract: Described herein are systems and methods for providing a correlated content organization in a content management system based upon a training set. In accordance with an embodiment, the systems and methods described herein can build a training set based upon observations of received inputs to determine patterns that are used often in content merges. Once a pattern is established, the systems and methods can provide indications of proposed merges based upon the training set and rules established therefrom that fit the same, or similar (e.g., within a defined variant) of the pattern. The system can then receive an indication of whether the suggestion is accepted or rejected, and such decision can be fed back into the learning system. This way the accuracy of the content merge improves over time.

Abstract: The present invention relates to a brain stimulating device and, particularly, relates to a brain stimulating device comprising: a brainwave measurement unit for outputting a brainwave signal; and a stimulation unit for applying spindle-like stimulation to a brain in accordance with the generation of slow oscillation included in the brainwave signal. The brain stimulating device according to the present invention can reinforce memory or reduce memory deterioration due to dementia. Also, the brain stimulating device according to the present invention can reinforce hippocampus-dependent memory. Further, a portable device according to the present invention can control and monitor the brain stimulating device. Moreover, a method for assessing the performance of the brain stimulating device according to the present invention can assess the performance of the brain stimulating device.

Abstract: Systems and methods for determining relationships between units are described. An illustrative system may include a semantic knowledge base having information regarding stored relationships between a plurality of units associated with content, a processor and a non-transitory, processor-readable storage medium in communication with the processor. The storage medium may include one or more programming instructions that, when executed, cause the processor to direct a display to present the plurality of units to one or more users, receive an input from each of the one or more users, compare the input with the information in the semantic knowledge base and determine whether the input corresponds to a stored relationship and provide a notification to each of the one or more users based upon the determining. The input may correspond to a determination of a relationship between the plurality of units based upon the content of each unit by a user.

Abstract: Systems and methods for providing information relating to professional growth are provided. A client provides client data regarding professional growth. The current level of professional growth of the client is determined, and the next level of professional growth is identified. The client is provided with information regarding the next level, based on the identification of the next level.

Abstract: One embodiment of the invention provides a method for data lineage and data provenance enhancement. The method comprises arranging a data set into a logical ordering, and partitioning the data set into at least one set of partitions based on the logical ordering. The method further comprises, for each partition of the at least one set of partitions, determining a corresponding score for the partition, and determining a data similarity between the partition and each other partition of each other data set based on the corresponding score for the partition and another score corresponding to the other partition. The method further comprises determining data lineage of the data set based on each data similarity determined.

Abstract: The present disclosure provides method, apparatus and system for detecting contents expressing emotions from a video. The method may comprise: dividing the video into a plurality of clips; extracting, from a first clip and at least one second clip of the plurality of clips, features associated with the first clip; determining whether the first clip expresses emotions based on the features associated with the first clip; and building an index containing the first clip based on the features associated with the first clip if the first clip expresses emotions.

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: Methods, systems, and computer program products related to a cognitive assistant for co-generating creative content are provided herein. A computer-implemented method includes obtaining semantic-level inputs from at least one user, wherein the semantic-level inputs pertain to multiple aspects of a desired content narrative; generating textual content based at least in part on the semantic-level inputs, wherein said generating the textual content comprises applying one or more deep learning algorithms to the semantic-level inputs; generating image content based at least in part on the generated textual content; creating the desired content narrative by integrating (i) the generated textual content and (ii) the generated image content; and outputting the desired content narrative to the at least one user.

Abstract: Systems, methods, and devices are provided for responding to requests received from users in a healthcare facility, and for generating alerts based upon criticality detected in received verbal utterances. A personal assistant device (PAD) may receive a verbal request for information. The identity of the requestor may be verified and a response to the request may be received by the PAD. In some cases, prior to audibly outputting the response, it may be determined whether the response contains protected health information (PHI). Upon determining that the response contains PHI, the presence of persons other than the patient in proximity to the PAD and/or security of the location of the PAD may be evaluated prior to audibly outputting the response. Additionally, alerts having a heightened criticality may be generated when a received verbal utterance is determined to have a heightened criticality.

Abstract: In some embodiments, affective-state-based artificial intelligence may be facilitated. One or more growth or decay factors for a set of affective attributes of an artificial intelligence entity may be determined, and a set of affective values, which are associated with the set of affective attributes, may be continuously updated based on the growth or decay factors. An input may be obtained, and a response related to the input may be generated based on the continuously-updated set of affective values of the artificial intelligence entity. In some embodiments, the growth or decay factors may be updated based on the input and subsequent to the updating of the decay factors, the affective values may be updated based on the updated growth or decay factors.

Abstract: Social skills can be taught using a customized interactive model. As part of this model, an Autism Spectrum Disorder (ASD) individual and an influencer are involved in creating customized content that will later be presented to the individual as part of an interactive game or other learning environment. This customized content includes both visual and audio content of the individual and the influencer and other graphical content selected and/or customized by the individual. One problem faced when teaching individuals is that they do not instantaneously connect noises with sources or relate words they hear with the speaker. By involving the individual in the creation of the customized content, the likelihood that the individual will make such connections can be increased since the individual is more likely to recognize content that he or she created in conjunction with an influencer.

Abstract: An information processing apparatus includes a processor configured to acquire structured information created by a first user and structured information created by a second user, the structured information including structured contents and in accordance with the acquired structured information, suggest a content as a linking destination of a new content when the new content is incorporated in the structured information created by the first user.

Abstract: Device configuration based on predicting a health affliction. A process acquires measurements of conditions that a user is experiencing. The process predicts, based on the measurements, whether the user will experience a particular health affliction. Based on predicting that the user will experience the particular health affliction, the process configures devices of an environment in which the user is present to reduce effects of the devices on symptoms of the particular health affliction. The configuring includes adjusting a respective at least one state of each device of the devices.

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: Computing devices, methods and computer-readable mediums for providing guided meditation to patients based on results of a psychological test are provided herein. Contemplated computing devices can comprise a processor, a memory for storing a computer-readable medium comprising computer-readable instructions stored therein, wherein the instructions are executable by the processor to serve psychological tests to the patient through a virtual patient portal, transform results of the psychological tests into sets of psychological conditions of the patient, match predefined meditation paths to the patient and serve guided meditation tracks in the matched meditation paths to the patient through the virtual patient portal.

Abstract: Systems and methods of the present invention provide for generating a first, second, and third series of interface objects comprising a first and second sequence respectively, displayed on a graphical user interface (GUI). At least one visual indicator display object is also displayed that requires a switch between the first and second series of user interface objects. A user navigates through the first and second series of interface objects, including the visual indicator display object(s), and a score for the user is calculated according to a user input matching, or failing to match, a correct response associated with a task data defining a function skill demonstrating a cognitive ability of the user.

Abstract: The present disclosure provides method, apparatus and system for detecting contents expressing emotions from a video. The method may comprise: dividing the video into a plurality of clips; extracting, from a first clip and at least one second clip of the plurality of clips, features associated with the first clip; determining whether the first clip expresses emotions based on the features associated with the first clip; and building an index containing the first clip based on the features associated with the first clip if the first clip expresses emotions.

Abstract: Provided are systems, methods, and computer-readable medium for operating a content delivery system. In various examples, the content delivery system can transmit a series of queries to a computing device for display in an application executing on the computing device. The content delivery service can receive a first set of responses, and determine from these response an additional series of queries. The additional series of queries can also be transmitted to the computing device. The content delivery service can receive a second set of responses for the additional series of queries. The content delivery service can further use the responses to determine a presentation for a program of content, the presentation including graphics, text, and audio. The content delivery service can transmit the present and the program of content to the computing device, where the computing device can render the presentation to modify an appearance of the program of content.

Abstract: Implementations relate to an automated assistant that provides and manages output from one or more elements of output hardware of a computing device. The automated assistant manages dynamic adjustment of access permissions to the computing device according to, for example, a detected presence of one or more users. An active-user queue can be established each time a unique user enters a viewing window of a camera of the computing device when, up to that point, no user was considered active. Multiple image frames can be captured via the camera and processed to determine whether an initial user remains in the viewing window and/or whether another user has entered the viewing window. The initial user can be considered active as long as they are exclusively detected in the viewing window. Restricted content associated with the user may be rendered by the computing device whilst the user is active.

Abstract: A method is 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: A mechanism by which a secure, privacy preserving query system may be constructed from blockchain technology is disclosed. This system operates on the local differential privacy model through random responses using a private weighted coin protocol. The system specified allows for the ejection of malicious and/or non-interactive participants, minimizes blockchain storage size, and provides a mechanism for forward secrecy. The system specification uses a distributed random beacon to provide a public source of randomness. This randomness is utilized to perform random subset selection from a publicly known list of participating entities. The system uses a homomorphic self-tallying voting protocol under homomorphic encryption to further ensure participant privacy.

Abstract: A computer server system and method are disclosed for personalization and customizable filtering of network search results and search result rankings, such as for Internet searching. A representative server system comprises: a network interface to receive a query from a respondent or co-respondent; at least one data storage device storing a plurality of return queries; and one or more processors adapted to access the data storage device and using the query, to select the return queries for transmission; to search the data storage device for corresponding pluralities of responses to the return queries from other co-respondents or respondents; to pair-wise score the responses and generate pair-wise alignment scores for respondent and co-respondent combinations; to sort and rank the combinations according to the alignment scores; and to output a listing of the sorted and ranked respondents or co-respondents to form the personalized network search results and search result rankings.

Abstract: Methods, systems and computing devices are described herein for monitoring a premises when residents or other users are present in order to detect patterns of activity at the premises. Such patterns may comprise, for example, a typical schedule indicating usage of one or more devices by one or more users of the premises. When a user is away or otherwise inactive, commands may be sent to various user devices to make it appear (e.g., to those outside the premises) as if the user is present by simulating and/or recreating the patterns that were previously detected.