Abstract: A portable terminal is configured to recognize an image such as a hand shape. The portable terminal includes a motion detection unit that includes a trainer capable of generating uniform training image data to collectively generate a plurality of images of a desired region obtained from an original image in an identical posture and an identical size, and performing a training process to prevent a feature point from being generated in a portion where detection is unnecessary in the generated training image data, and a detector capable of detecting a rotated object from input data, after the training process.

Abstract: A system and method for motion control of a humanoid robot are provided. The system includes a remote controller for recognizing three-dimensional image information including two-dimensional information and distance information of a user, determining first and second reference points on the basis of the three-dimensional image information, calculating variation in angle of a joint on the basis of three-dimensional coordinates of the first and second reference points, and transmitting a joint control signal through a wired/wireless network. The system also includes a robot for checking joint control data from the joint control signal received from the remote controller and varying an angle of the joint to move according to the user's motion.

Abstract: A word-spacing correction system and method are provided to automatically recognize and correct errors in the spacing of word inputs in an electronic device with relatively low computing power. In a learning process, probability information about each feature is created from a corpus of correct words, and then error correction rules are created by applying the probability information to a corpus of incorrect words from which all spaces between words of the corpus of correct words are removed. In an applying process, word-spacing in a user's input sentence is corrected by applying the probability information and the error correction rules to the user's input sentence.

Abstract: A spelling correction system and method automatically recognizes and corrects misspelled inputs in an electronic device with relatively lower computing power. In a learning process, a misspelling correction dictionary is constructed on the basis of a corpus of accepted words, and context-sensitive strings are selected from among all the strings registered in the dictionary. Context information about the context-sensitive strings is acquired. In an applying process, at least one target string is selected from among all the strings in a user's input sentence through the dictionary. If the target string is one of the context-sensitive strings, the target string is corrected by use of the context information.