Abstract: Provided are a method and apparatus for recognizing sign language using an electromyogram sensor and a gyro sensor. The method includes the steps of (a) receiving a gyro measurement signal and an electromyogram measurement signal from the gyro sensor and the electromyogram sensor which are attached to the body of a subject, (b) determining to which of groups clustered with similar fingerspelling motions the gyro measurement signal belongs, (c) acquiring a Gaussian model for the electromyogram measurement signal, and (d) comparing the acquired Gaussian model with Gaussian candidate models for candidate fingerspelling motions which belong to the group determined in step (b), and recognizing the candidate fingerspelling motion corresponding to the Gaussian candidate model that is most similar to the acquired Gaussian model as the fingerspelling motion of the subject.

Abstract: Provided are a method and apparatus for recognizing sign language using an electromyogram sensor and a gyro sensor. The method includes the steps of (a) receiving a gyro measurement signal and an electromyogram measurement signal from the gyro sensor and the electromyogram sensor which are attached to the body of a subject, (b) determining to which of groups clustered with similar fingerspelling motions the gyro measurement signal belongs, (c) acquiring a Gaussian model for the electromyogram measurement signal, and (d) comparing the acquired Gaussian model with Gaussian candidate models for candidate fingerspelling motions which belong to the group determined in step (b), and recognizing the candidate fingerspelling motion corresponding to the Gaussian candidate model that is most similar to the acquired Gaussian model as the fingerspelling motion of the subject.

Abstract: Navigation of a robot is controlled using an electromyography sensor and an acceleration sensor by (a) comparing a signal from an electromyography sensor mounted to a human body with a prestored threshold value to determine whether to control the robot, (b) if the robot is to be controlled, comparing a signal obtained from an acceleration sensor mounted to the human body with each prestored reference model of an acceleration sensor signal to infer a control operation of the robot, and (c) controlling navigation of the robot to correspond to the inferred control operation of the robot. It is first determined whether to control the robot using the electromyography sensor signal, inferred by calculating a Euclidean distance between a current acceleration sensor signal and a reference model previously acquired for each operation, and the robot is controlled based on the inferred operation, thereby increasing accuracy and reliability of the robot control.