One interesting application attends only to the spatial statistics of the blobs associated with the users hands. Starner and Pentland [17] used this blob representation together with hidden Markov modeling to interpret a forty word subset of American Sign Language (ASL). Using this approach they were able to produce a real-time ASL interpreter with a 99% sign recognition accuracy. Thad Starner is shown using this system in Fig. 3(c).