Abstract: A computer-implemented method, including receiving by one or more computer systems input information that represents a multi-dimensional communication; detecting, based on contents of the input information, a plurality of communication inputs; applying one or more weighted values to one or more of the communication inputs; assigning, based on application of the one or more weighted values, confidence levels to the communications inputs; determining which of the confidence levels are below a confidence threshold; executing one or more disambiguation rules to disambiguate the communication inputs with confidence levels below the confidence threshold; and generating a communication instruction to perform an action that is specified by the multi-dimensional communication.

Abstract: The Aberrant and Diminished Activity Detector Apparatuses, Methods and Systems (“DAD”) transforms abnormal financial or behavioral pattern and enrollment request message inputs via DAD components into alert outputs that may be sent to trusted parties or caregivers, in order to reduce and prevent fraudulent financial transactions that target the elderly or impaired individuals. A subject is enrolled in the DAD system via an enrollment component via enrollment information provided by one of the subject and an observer. The DAD system determines abnormal transaction indicators for the subject from at least one of: historical financial transaction patterns of the subject, abnormal behavior patterns of the subject and predictive indicators derived from historical fraudulent financial data of a population. Alarm thresholds based on the abnormal transaction indicators are determined.

Abstract: A computer-implemented method, including receiving by one or more computer systems input information that represents a multi-dimensional communication; detecting, based on contents of the input information, a plurality of communication inputs; applying one or more weighted values to one or more of the communication inputs; assigning, based on application of the one or more weighted values, confidence levels to the communications inputs; determining which of the confidence levels are below a confidence threshold; executing one or more disambiguation rules to disambiguate the communication inputs with confidence levels below the confidence threshold; and generating a communication instruction to perform an action that is specified by the multi-dimensional communication.

Abstract: A computer-implemented method, including receiving by one or more computer systems input information that represents a multi-dimensional communication; detecting, based on contents of the input information, a plurality of communication inputs; applying one or more weighted values to one or more of the communication inputs; assigning, based on application of the one or more weighted values, confidence levels to the communications inputs; determining which of the confidence levels are below a confidence threshold; executing one or more disambiguation rules to disambiguate the communication inputs with confidence levels below the confidence threshold; and generating a communication instruction to perform an action that is specified by the multi-dimensional communication.