Abstract: Provided are a device and method for estimating a pose of an object. The method includes inputting a labeled source image and an unlabeled target image to a recognition model for generating training data, training the recognition model to generate object information of the unlabeled target image, determining the generated object information to be a pseudo label of the unlabeled target image, and training a pose estimation model for estimating a pose of an object by inputting the pseudo-labeled target image and the labeled source image to the pose estimation model.

Abstract: Provided is a sign language recognition system, and the sign language recognition system includes an acquisition unit configured to acquire an electromyogram signal of a user from a sensor measurement device worn around an arm of the user, an extraction unit configured to extract a muscle active section from the electromyogram signal to detect a sign language gesture of the user, a producing unit configured to produce a first feature vector by performing signal processing to the muscle active section, a search unit configured to search a signal corresponding to the first feature vector in a database, and an output unit configured to output a text corresponding to the searched signal.

Abstract: Provided is a sign language recognition system, and the sign language recognition system includes an acquisition unit configured to acquire an electromyogram signal of a user from a sensor measurement device worn around an arm of the user, an extraction unit configured to extract a muscle active section from the electromyogram signal to detect a sign language gesture of the user, a producing unit configured to produce a first feature vector by performing signal processing to the muscle active section, a search unit configured to search a signal corresponding to the first feature vector in a database, and an output unit configured to output a text corresponding to the searched signal.