Patent ID: 7228279

Claim:
A method of generating a decision associated with one of an individual and an entity, the method comprising the steps of: inputting two or more data streams associated with one of the individual and the entity; computing at least one time-varying measure in accordance with the two or more data streams; computing a decision output value based on the at least one time-varying measure; and authenticating one of the individual and the entity based on the decision output value; wherein the at least one time-varying measure comprises a measure of the coverage of a model associated with previously-obtained training data by at least a portion of the captured data, further wherein the coverage measure is determined in accordance with an inverse likelihood computation, the inverse likelihood computation comprising modeling, for a time t, a neighborhood of a test vector associated with the captured data to generate a test data model, and measuring the likelihood of one or more parameters of the training data model with respect to the test data model.