Abstract: Provided are a three-dimensional mouse device using several body parts, and a marionette control system using the same. The three-dimensional mouse device includes: a support member that is worn on at least one of a head, a face, an arm, and a foot among body parts; an action recognition module that is mounted on the support member; and an action recognition module that is attached to the support member to sense a motion of the body parts and output a sensing signal to the action recognition module.

Abstract: Provided are a three-dimensional mouse device using several body parts, and a marionette control system using the same. The three-dimensional mouse device includes: a support member that is worn on at least one of a head, a face, an arm, and a foot among body parts; an action recognition module that is mounted on the support member; and an action recognition module that is attached to the support member to sense a motion of the body parts and output a sensing signal to the action recognition module.

Abstract: The present invention relates to a mark partitioning inspection method. A reference image and an inspection image are respectively acquired, and a correlation in a character unit for the reference image and the inspection image is obtained, and then the correlation value is compared with a first threshold value that has been previously set. Then, when the correlation value is greater than the first threshold value, the relevant character is partitioned into a predetermined number of regions, and a correlation between the reference image and the inspection image is obtained for each of the partitioned regions, and then a difference between the maximum and minimum values of the correlation is compared with a second threshold value that has been previously set.

Abstract: The present invention relates to a mark partitioning inspection method. A reference image and an inspection image are respectively acquired, and a correlation in a character unit for the reference image and the inspection image is obtained, and then the correlation value is compared with a first threshold value that has been previously set. Then, when the correlation value is greater than the first threshold value, the relevant character is partitioned into a predetermined number of regions, and a correlation between the reference image and the inspection image is obtained for each of the partitioned regions, and then a difference between the maximum and minimum values of the correlation is compared with a second threshold value that has been previously set.

Abstract: An adaptive shunt system for controlling vibrations of a frequency-varying structure, the system comprising: a detector for detecting vibrations generated from a predetermined structure and generating vibration signals corresponding to the vibrations; a computer for inputting the vibrations signals from the detector; a signal processing unit for processing the vibration signals from the computer and generating a voltage command in real-time; and an adaptive shunt device for adaptively controlling the vibrations of the structure of which natural frequency varies at every moment according to the voltage command.

Abstract: An adaptive shunt system for controlling vibrations of a frequency-varying structure, the system comprising: a detector for detecting vibrations generated from a predetermined structure and generating vibration signals corresponding to the vibrations; a computer for inputting the vibrations signals from the detector; a signal processing unit for processing the vibration signals from the computer and generating a voltage command in real-time; and an adaptive shunt device for adaptively controlling the vibrations of the structure of which natural frequency varies at every moment according to the voltage command.