from NUNCHI patent description ,
By way of example, assuming the mobile device user is at a movie, the location sensor 110 detects the location as that of the movie theatre, and the inertial sensor 120 indicates no movement. Further, the mobile device 100 might include a near field communication (NFC) device which detects that the mobile device 100 was used to purchase a ticket to a movie, and the movie start time. The mobile device 100 might also include a clock which detects that the start time has passed, but the optical sensor 130 determines that the movie theater lights are bright. In contrast, for the social signature of a social template for watching a movie, the optical sensor could be for a low light, but also include the movie theater location, no acceleration, time being after the start time, and the ticket data from the NFC device. In this instance, the social signature in the formatted data would include a number of matching elements (i.e., location, acceleration, time, and NFC data) which are consistent with the social signature of a social template for watching a movie, but the error would exist in relation to the optical data. Thus, in operation 320, the a priori classification would be the social template for watching the movie, and the classification error in operation 325 would be in relation to the optical data being high as opposed to low.
