One interesting application attends only to the spatial statistics of the blobs associated with the users hands. Starner and Pentland  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).