Abstract: A method for providing a game service and a server for performing the same are disclosed. A method by which a server provides a game service can comprise the steps of: receiving image data including motion data from a user terminal; generating skill motion sequence data of a game character corresponding to the motion data; and adjusting a skill motion of the game character on the basis of the generated skill motion sequence data.

Abstract: A method for providing a game service and a server for performing the same are disclosed. A method by which a server provides a game service can comprise the steps of: receiving image data including motion data from a user terminal; generating skill motion sequence data of a game character corresponding to the motion data; and adjusting a skill motion of the game character on the basis of the generated skill motion sequence data.

Abstract: Provided is a sound field security system with improved sound field analysis performance, and a method of determining a starting point for analysis of a received waveform by using the same, in which a starting point for analysis of a received waveform may be accurately determined even when there are irregular delays in a system, thereby enabling sound field analysis to be more adaptive to irregular delays that may occur in the system, and ensuring stable sound field security.

Abstract: Provided is a sound field security system with improved sound field analysis performance, and a method of determining a starting point for analysis of a received waveform by using the same, in which a starting point for analysis of a received waveform may be accurately determined even when there are irregular delays in a system, thereby enabling sound field analysis to be more adaptive to irregular delays that may occur in the system, and ensuring stable sound field security.

Abstract: A system for detecting an object is provided. The system includes a depth image receiver that receives a depth image from a depth camera; a strong classifier that classifies an object region and a non-object region in the depth image based on a characteristic of an object; and an object detector that detects the classified object region, wherein the strong classifier comprises a plurality of weak classifiers which are cascade connected to each other and classifies the object region and the non-object region by passing the depth image through the weak classifiers, the characteristic of the object is extracted based on a center depth value of the depth image, and the plurality of the weak classifiers are generated through a training process for classifying positive training images among a multiple number of positive training images and a multiple number of negative training images.