Abstract: Triggered sensor data capture in a mobile device environment. A method monitors primary sensor data obtained from first wearable sensor device(s) to determine whether trigger condition(s) are met for triggering supplemental sensor data capture. Based on recognizing a health event, the method obtains health status input from a user, configures second wearable sensor device(s) to obtain supplemental sensor data that includes additional data in addition to the primary sensor data, and obtains the supplemental sensor data. The method provides the health status input and the obtained supplemental sensor data as correlated health event data of the health event for analysis. Based on the analysis, the method tunes at least one trigger condition of the trigger condition(s) to adjust a scope of supplemental sensor data capture.

Abstract: A method for enhanced digital content presentation is provided that includes assigning, to each member of members of a social network of a user, a respective knowledge score, the knowledge score being representative of accuracy in the member predicting positive impressions of the user. The members of the social network are surveyed for an indication of which one or more options for digital content are expected to have a positive impression on the user. Based on the surveying, selected digital content based on the one or more options that are expected to have a positive impression on the user, as indicated by the surveying, is selected. The selected digital content is presented to the user. An indication of whether the selected digital content had a positive impression on the user is received from the user.

Abstract: Provided are systems, methods, and media for assisting incontinent subjects. An example method includes receiving sensor readings from a sensor to obtain pressure readings from a bladder or bowels of a subject. A machine learning algorithm is executed to determine when incontinence of the subject is expected to occur. The machine learning algorithm establishes threshold(s) at which to notify an autonomous system, the subject, or a caretaker, in which are established based on a correlation between the received sensor readings and a frequency of undeterred accidents of the subject. An electronic warning is transmitted to the autonomous system, the subject, or the caretaker of the subject, indicating that incontinence is expected to occur in response to detecting at least one sensor reading that exceeds a threshold. Feedback is obtained and the threshold is adjusted via the machine learning algorithm based on the received feedback.

Abstract: A method for enhanced digital content presentation is provided that includes assigning, to each member of members of a social network of a user, a respective knowledge score, the knowledge score being representative of accuracy in the member predicting positive impressions of the user. The members of the social network are surveyed for an indication of which one or more options for digital content are expected to have a positive impression on the user. Based on the surveying, selected digital content based on the one or more options that are expected to have a positive impression on the user, as indicated by the surveying, is selected. The selected digital content is presented to the user. An indication of whether the selected digital content had a positive impression on the user is received from the user.

Abstract: Triggered sensor data capture in a mobile device environment. A method monitors primary sensor data obtained from first wearable sensor device(s) to determine whether trigger condition(s) are met for triggering supplemental sensor data capture. Based on recognizing a health event, the method obtains health status input from a user, configures second wearable sensor device(s) to obtain supplemental sensor data that includes additional data in addition to the primary sensor data, and obtains the supplemental sensor data. The method provides the health status input and the obtained supplemental sensor data as correlated health event data of the health event for analysis. Based on the analysis, the method tunes at least one trigger condition of the trigger condition(s) to adjust a scope of supplemental sensor data capture.