Abstract:
An apparatus for controlling a robot and a method thereof are provided. The apparatus includes: a state interpretation unit determining whether or not a current situation belongs to a preset unstable state by evaluating the current situation based on a plurality of perception information items; and a target generation unit setting a target action of the robot by comparing the current situation and the determination result with a predetermined value system, and then, modifying the target action by receiving a feedback of the action performance result of the robot as perception information. According to the method and apparatus, by inputting a processing procedure and a value system to solve a variety of unstable states that can occur in situations of a user and circumstances surrounding the robot, the robot can actively respond with actions.
Abstract:
A biological signal sensor apparatus worn on a user's body includes: a sensor unit for sensing physical states or movements of a user to generate biological signal data; a wireless communications unit for performing wireless data communications with a wireless sensor network to transmit the biological signal data; a sensor network protocol processing unit for processing protocols for end-to-end communications between the wireless communications unit and the wireless sensor network and for performing a mobility support procedure for the biological signal sensor apparatus; a processor for controlling the wireless data communications, the end-to-end communications, and the mobility support procedure to allow the biological signal sensor apparatus to serve as a mobile wireless sensor node; and a connection unit for connecting the sensor unit and the processor. The biological signal sensor apparatus serves as a mobile wireless sensor node in the wireless sensor network.
Abstract:
Provided are a method and system for modeling a service using a Bayesian network and status information in a distributed environment. The method includes creating a scenario for modeling at least one service, categorizing the service into models according to properties based on the scenario, setting interrelationships including a chronological relationship, a hierarchical relationship, and correlation between the categorized models, and deriving information including a service goal and status information with respect to the models and completing service modeling. Accordingly, a service provider, which digitally provides various services in a ubiquitous environment, can efficiently and actively provide intelligent services. In addition, since a specific method of modeling a service based on probabilities is provided, an intelligent service is modeled efficiently and diversely.
Abstract:
An apparatus for controlling a robot and a method thereof are provided. The apparatus includes: a state interpretation unit determining whether or not a current situation belongs to a preset unstable state by evaluating the current situation based on a plurality of perception information items; and a target generation unit setting a target action of the robot by comparing the current situation and the determination result with a predetermined value system, and then, modifying the target action by receiving a feedback of the action performance result of the robot as perception information. According to the method and apparatus, by inputting a processing procedure and a value system to solve a variety of unstable states that can occur in situations of a user and circumstances surrounding the robot, the robot can actively respond with actions.
Abstract:
A system for recognizing a touch action that a person has performed upon an object, is provided with a sensor component for detecting a sensor value corresponding to the touch action through an inertial sensor attached to part of a body of the person; and a signal processing component for recognizing the touch action from the sensor value detected by the sensor component and transferring the recognized touch action to the object. Further, a method for recognizing a touch action that a person has performed upon an object, is provided with: detecting a sensor value corresponding to the touch action through an inertial sensor attached to part of a body of the person; and recognizing the touch action from the detected sensor value and transferring the recognized touch action to the object.
Abstract:
A system and method for analyzing the motions of an object based on the silhouettes of the object are provided. The system includes a foreground detector, a contour extractor, a model generator, a corner histogram generator, and a value of similarity measuring unit. The foreground detector detects a moving foreground object from an input image. The contour extractor extracts silhouette contour of the detected foreground object, and the model generator generates mean value histogram models as references to determine motions of the object. The corner histogram generator generates corner histograms of hierarchical multiband in the extracted contour signal, and the value of similarity measuring unit calculates a value of similarity between the generated corner histogram of a current frame and the average model histogram in a histogram unit, measures a value making a value of similarity with the calculated current frame histogram maximum, and determines the measured value as a posture of the object in the current frame.
Abstract:
A system and method for analyzing the motions of an object based on the silhouettes of the object are provided. The system includes a foreground detector, a contour extractor, a model generator, a corner histogram generator, and a value of similarity measuring unit. The foreground detector detects a moving foreground object from an input image. The contour extractor extracts silhouette contour of the detected foreground object, and the model generator generates mean value histogram models as references to determine motions of the object. The corner histogram generator generates corner histograms of hierarchical multiband in the extracted contour signal, and the value of similarity measuring unit calculates a value of similarity between the generated corner histogram of a current frame and the average model histogram in a histogram unit, measures a value making a value of similarity with the calculated current frame histogram maximum, and determines the measured value as a posture of the object in the current frame.
Abstract:
A method of modeling a composite emotion in a multidimensional vector space, is provided with creating an emotion vector space by defining dimensions of a vector space in consideration of stimuli affecting emotions, and dividing a defined multidimensional vector space into emotion regions. Further, the method of modeling a composite emotion in a multidimensional vector space includes creating a composite emotion by calculating a fuzzy partitioned matrix between a current state vector and respective representative vectors in the created emotion vector space.
Abstract:
A method of modeling a composite emotion in a multidimensional vector space, is provided with creating an emotion vector space by defining dimensions of a vector space in consideration of stimuli affecting emotions, and dividing a defined multidimensional vector space into emotion regions. Further, the method of modeling a composite emotion in a multidimensional vector space includes creating a composite emotion by calculating a fuzzy partitioned matrix between a current state vector and respective representative vectors in the created emotion vector space.
Abstract:
A method of extracting a foreground object image from a video sequence includes producing a reference background image by separating a background image from a frame image of the video sequence; producing edge information of the frame image and the reference background image; producing an edge difference image using the edge information; and extracting the foreground object image using the edge difference image based on the edge information.