| 摘要 |
A system and method for gesture spotting and recognition are provided. Systems and methods are also provided employing Hidden Markov Models (HMM) and geometrical feature distributions of a hand trajectory of a user to achieve adaptive gesture recognition. The system and method provide for acquiring a sequence of input images of a specific user and recognizing a gesture of the specific user from the sequence of input images based on a gesture model and geometrical features extracted from a hand trajectory of the user. State transition points of the gesture model are detected and the geometrical features of the hand trajectory of the user are extracted based on the relative positions of the detected state transition points and a starting point of the gesture. The system and method further provide for adapting the gesture model and geometrical feature distribution for the specific user based on adaptation data. |
