Abstract: Techniques are described with respect to facilitating client ergonomic support. An associated method includes receiving a plurality of posture datapoints associated with multiple clients and constructing a machine learning knowledge model based upon the plurality of posture datapoints in order to identify a plurality of predefined ergonomic support design elements. The method further includes receiving client-specific posture datapoints associated with a first client and analyzing, via the machine learning knowledge model, the client-specific posture datapoints in view of the plurality of posture datapoints in order to select an initial ergonomic support design element among the plurality of predefined ergonomic support design elements. The method further includes facilitate printing of the initial ergonomic support design element for a seat component associated with the first client.

Abstract: There is a need to accurately and dynamically predicting a probability for an event and a likely cause for the event prior to the event occurring using collected data from disparate data sources. This need can be addressed, for example, by generating an event prediction data object by utilizing an event prediction machine learning model, wherein the event prediction data object describes an event likelihood prediction and in an instance where the event likelihood prediction is an affirmative likelihood prediction, one or more fall cause predictions; and performing one or more prediction-based actions based at least in part on the event likelihood prediction.

Abstract: A method for locating an identifying an electrical power port. The method includes one or more computer processors determining that a battery of a first mobile device of a user is less than fully charged. The method further includes identifying one or more Internet-of-Things (IoT)-enabled electrical power ports within a proximity of the first mobile device. The method further includes receiving metadata respectively associated with the one or more IoT-enabled electrical power ports. The method further includes generating one or more augmented reality (AR) elements respectively associated with the one or more IoT-enabled electrical power ports based on the received metadata respectively associated with the one or more IoT-enabled electrical power ports.

Abstract: A delivery device includes a circuit for receiving an authentication signal. The delivery device contains a substance encapsulated therein. The delivery device determines whether a user is authenticated based upon the authentication signal and an identifier stored within the delivery device. The delivery device heats, responsive to determining that the user is not authenticated within a predetermined time period after the delivery device being ingested by the user, the substance encapsulated within the delivery device.

Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing splinting activity detection. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform splinting activity detection using at least one of splinting activity detection machine learning models, observed inspiration-expiration waveform pattern, and expected inspiration-expiration waveform patterns.

Abstract: There is a need to accurately and dynamically predicting a probability for an event and a likely cause for the event prior to the event occurring using collected data from disparate data sources. This need can be addressed, for example, by generating an event prediction data object by utilizing an event prediction machine learning model, wherein the event prediction data object describes an event likelihood prediction and in an instance where the event likelihood prediction is an affirmative likelihood prediction, one or more fall cause predictions; and performing one or more prediction-based actions based at least in part on the event likelihood prediction.

Abstract: There is a need to automatically provide one or more electronic documents to the user. In one example, embodiments comprise, generating a facility visit data object for a user describing one or more facility attributes for one or more facilities associated with a potential visit from the user. One or more electronic documents may be determined to be retrieved based at least in part on the facility visit data object. One or more user interaction electronic document data objects may be generated to enable interaction between the user and the one or more electronic document data objects. One or more modified user interaction electronic document data objects may be received and may be provided to one or more facility computing entities in response to one or more trigger events.

Abstract: Embodiments of the invention provide apparatuses, systems, and methods for more accurate remote monitoring of a user's body. In some embodiments, a system for monitoring a user's body comprises a wearable device, a video sensor attached at a collar portion of the wearable device, a plurality of audio sensors spaced and attached at a body portion of a wearable device and a controller configured to determine a Jugular Venous Pressure (JVP) of the user, and determine audio characteristics of an output of the plurality of audio sensors to generate an audio heat map corresponding to at least one internal organ of the user.

Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing risk score generation predictive data analysis. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform risk score generation predictive data analysis by utilizing at least one of event-based confidence scores and delay-based confidence scores.

Abstract: One example of a computer-implemented method of adjusting vehicle sensitivity comprises receiving, at a first vehicle, a vehicle profile of a second vehicle. The vehicle profile of the second vehicle correlates measured responses of one or more actuators on the second vehicle to measured user control inputs on the second vehicle. The method further comprises receiving a user control input for the first vehicle; and modifying a response of one or more actuators on the first vehicle to the received user control input based on the received vehicle profile of the second vehicle such that the one or more actuators on the first vehicle mimic the one or more actuators on the second vehicle.

Abstract: A method comprising determining, by a processing system, based on a first oral gesture detected by an intra-oral device located in a mouth of a user, an intended communication partner from among a plurality of available communication partners; determining, by the processing system, a message based on a series of one or more second oral gestures detected by the intra-oral device; and sending, by the processing system, the message to a communication device associated with the intended communication partner.

Abstract: A system includes sample containers and a computing system. The sample containers include one or more data storage media configured to store sample information relating to the respective sample contained in each sample container. The sample information include data indicating a sample type, an intended use of the sample contained within the respective sample container, and a sample collection time. The computing system is configured to receive the sample information from the sample containers and determine, based on the sample information, an action for increasing a likelihood that one or more applicable samples of the plurality of samples will be viable for the intended uses of the applicable samples. The computing system is further configured to perform the action.

Abstract: There is a need to automatically provide one or more electronic documents to the user. In one example, embodiments comprise, generating a facility visit data object for a user describing one or more facility attributes for one or more facilities associated with a potential visit from the user. One or more electronic documents may be determined to be retrieved based at least in part on the facility visit data object. One or more user interaction electronic document data objects may be generated to enable interaction between the user and the one or more electronic document data objects. One or more modified user interaction electronic document data objects may be received and may be provided to one or more facility computing entities in response to one or more trigger events.

Abstract: A system and method for managing real time parcel delivery in an internet of things (IoT) computing environment are presented. One or more intercepting locations may be identified and determined to replace an originally scheduled delivery location for real-time delivery of a parcel to a recipient using one or more IoT computing devices. The one or more intercepting locations may be selected to replace the originally scheduled location for real-time delivery of the parcel to the recipient using the one or more IoT computing devices. Real-time delivery of the parcel to the one or more intercepting locations may be arranged/coordinated between a delivery service and the recipient.

Abstract: Generating image training data for training an autonomous photography agent to learn the preferences and photo-taking styles of a given set of human users. The preferences and/or photo-taking styles include, but are not necessarily limited, to: (i) human users of a certain age group (such as toddlers or adults); (ii) profession of the photo-taker (professional photographer rather than a hobbyist); (iii) health status of the photo-taker; and/or (iv) travel status of the photo-taker (such as a tourist in a new city rather than a resident of a given city).

Abstract: Embodiments herein relate to viral transfer risk management. In example embodiments, an apparatus is configured to retrieve a first user identifier associated with a first client computing entity. The apparatus is further configured to determine, based at least in part on a first transfer risk score associated with the first user identifier, a first transfer risk score grouping for the first user identifier. The apparatus is further configured to, based at least in part on the first transfer risk score grouping and physical space parameters associated with a physical space identifier, allocate a first physical space assignment within a physical space associated with the physical space identifier to the first user identifier associated with the first client computing entity.

Abstract: Embodiments herein relate to viral transfer risk management. In example embodiments, an apparatus is configured to retrieve a first user identifier associated with a first client computing entity. The apparatus is further configured to determine, based at least in part on a first transfer risk score associated with the first user identifier, a first transfer risk score grouping for the first user identifier. The apparatus is further configured to, based at least in part on the first transfer risk score grouping and physical space parameters associated with a physical space identifier, allocate a first physical space assignment within a physical space associated with the physical space identifier to the first user identifier associated with the first client computing entity.

Abstract: Methods, apparatus, systems, computing devices, computing entities, and/or the like for generating medical research reports automatically collect data from a plurality of separate health data storage systems, standardize the received data to support at least a requested report type, apply one or more machine-learning quality control check to identify potentially inaccurate data included within the received data, and to generate the requested report based at least in part on the standardized, refined data. Moreover, one or more recommended additional reports supported by the refined data set is identified and recommended to a user based at least in part on user attributes and reports initially requested.

Abstract: Apparatuses, systems, and methods for more accurate remote monitoring of a user's body to stabilize the user during fall events and to thereby prevent the user from falling. In some embodiments, a wearable device comprising a power source, one or more sensors configured to monitor a user's COG (COG), at least one plurality of electrodes, a communications interface and a control device is provided. The wearable device is configured to apply electrical pulses according to defined electrical pulse stimulation protocols via the electrodes to target muscle groups of the user's body, causing those target muscle groups to contract and thereby stabilize the user's body during a fall event.

Abstract: Apparatuses, systems, and methods for more accurate remote monitoring of a user's body to stabilize the user during fall events and to thereby prevent the user from falling. In some embodiments, a wearable device comprising a power source, one or more sensors configured to monitor a user's COG (COG), at least one plurality of electrodes, a communications interface and a control device is provided. The wearable device is configured to apply electrical pulses according to defined electrical pulse stimulation protocols via the electrodes to target muscle groups of the user's body, causing those target muscle groups to contract and thereby stabilize the user's body during a fall event.