1. A method for a user-sensing remote control system including a TV and a remote control, comprising: obtaining sensing data from a plurality of sensors in the remote control related to a user of the remote control; pre-processing the sensing data; determining a user identity space using a predetermined statistical algorithm, wherein the user identity space contains a plurality of possible user identities of the user among a group of users of the TV and the remote control, and each user identity has multiple dimensions of parameters based on a plurality of sensors; calculating a probability of each user identity in the user identity space; determining whether there is a dominant possible user identity among the plurality of possible user identities with a probability of user identity greater than a predetermined threshold; when it is determined that there is no dominant possible user identity, merging at least two possible user identities from the user identity space and updating the user identity space based on the merged possible user identities and the user's selection to a new recommendation list created based on the at least two possible user identities until there is a dominant possible user identity; and when it is determined that there is a dominant possible user identity, presenting the dominant possible user identity as the identity of the user to other applications.