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.