SUBSCRIBER IDENTIFICATION BASED ON ELECTRONIC PROGRAM GUIDE DATA

A subscriber identification system is presented in which EPG related data including scrolling rates, paging rates, information screen viewing times, and manner and frequency of EPG activation are used to identify a subscriber from a group of subscribers. In one instance, the subscriber viewing data is recorded and a signal processing algorithm, such as a Fourier transform, is used to produce a processed version of the EPG related data. The processed version of the EPG related data can be correlated with stored common identifiers of subscriber profiles to determine which subscriber from the group is presently viewing the programming. A neural network or fuzzy logic can be used as the mechanism for identifying the subscriber from clusters of information, which are associated with individual subscribers.