Abstract: Disclosed are a personalized exercise service providing method and an apparatus thereof. A personalized exercise service providing apparatus according to an example includes a user class identifier configured to identify user class of a user; an exercise data acquirer configured to acquire exercise data of the user; and a model generator configured to generate a personalized exercise model of the user based on a standard exercise model corresponding to the determined user class and the acquired exercise data of the user to provide the most effective exercise model to each user through user recognition.

Abstract: The present invention relates to an apparatus for recognizing intention of a horse-riding simulator user, and a method thereof, and the apparatus for recognizing intention of a horse-riding simulator user can provide a safe and realistic horse-riding simulation environment to a user by recognizing an aid signal and an intention signal of the user to sense a dangerous situation and accordingly coping with the situation. According to the present invention, it is possible to increase the sense of the real for the user by enabling the horse-riding simulator user to perform similar interaction to actual horse-riding, and to increase effects of horse-riding training using the horse-riding simulator. Particularly, there is an advantage that the dangerous situation is sensed for safe riding, and it is possible to contribute to formation of a related technology market by providing an effective method for recognition of the intention of the horse-riding simulator user.

Abstract: Disclosed are a personalized exercise service providing method and an apparatus thereof. An personalized exercise service providing apparatus according to an example includes a user class identifier configured to identify user class of a user; an exercise data acquisitor configured to acquire exercise data of the user; and a model generator configured to generate a personalized exercise model of the user based on a standard exercise model corresponding to the determined user class and the acquired exercise data of the user to provide the most effective exercise model to each user through user recognition.

Abstract: Provided is a simulator managing apparatus and method for analyzing the posture of a user. The simulator managing apparatus includes: an input configured to acquire environment information and image information with respect to a simulator and a user; a controller configured to recognize a position and a posture of the user by analyzing the information acquired by the input, and to generate control information that includes coaching information for posture correction of the user according to the recognized position and posture; and an output configured to provide the analysis and the control information generated by the controller.

Abstract: Provided is a gesture recognition apparatus. The gesture recognition apparatus includes a human detection unit, a gesture region setting region, an arm detection unit and a gesture determination unit. The human detection unit detects a face region of a user from an input image. The gesture region setting unit sets a gesture region, in which a gesture of the user's arm occurs, with respect to the detected face region. The arm detection unit detects an arm region of the user in the gesture region. The gesture determination unit analyzes a position, moving directionality and shape information of the arm region in the gesture region to determine a target gesture of the user. Such a gesture recognition apparatus may be used as a useful means for a human-robot interaction in a long distance where a robot has difficulty in recognizing a user's voice.

Abstract: The present invention relates to an apparatus for recognizing intention of a horse-riding simulator user, and a method thereof, and the apparatus for recognizing intention of a horse-riding simulator user can provide a safe and realistic horse-riding simulation environment to a user by recognizing an aid signal and an intention signal of the user to sense a dangerous situation and accordingly coping with the situation. According to the present invention, it is possible to increase the sense of the real for the user by enabling the horse-riding simulator user to perform similar interaction to actual horse-riding, and to increase effects of horse-riding training using the horse-riding simulator. Particularly, there is an advantage that the dangerous situation is sensed for safe riding, and it is possible to contribute to formation of a related technology market by providing an effective method for recognition of the intention of the horse-riding simulator user.

Abstract: Disclosed are a component recognizing apparatus and a component recognizing method. The component recognizing apparatus includes: an image preprocessing unit configured to extract component edges from an input component image by using a plurality of edge detecting techniques, and detect a component region by using the extracted component edges; a feature extracting unit configured to extract a component feature from the detected component region, and create a feature vector by using the component feature; and a component recognizing unit configured to input the created feature vector to an artificial neural network which has learned in advance to recognize a component category through a plurality of component image samples, and recognize the component category according to a result.

Abstract: Disclosed is a method of detecting an upper body. The method includes detecting an omega candidate area including a shape formed of a face and a shoulder line of a human from a target image, cutting the target image into the upper body candidate area including the omega candidate area, detecting a human face from the upper body candidate area, and judging whether the upper body of the human is included in the target image according to the result of detecting the human face.

Abstract: Disclosed is a horseback riding simulator configured to operate in an adaptive manner with respect to a user and a method using the same, the horseback riding simulator including a user identification unit to identify a user through user identification information based on user facial information extracted from an input image, a posture recognition unit to calculate user posture information by extracting information related to each of designated body parts of the user from the input image, a coaching unit to provide the user with instruction in horseback riding posture, based on the user identification information and the user posture information, and a sensory realization unit to control a horseback riding mechanism based on a user-intended posture calculated through analysis of the user posture information. Accordingly, user-customized horseback riding instruction is provided through identification of a user and recognition of a user's horseback riding posture.

Abstract: Provided is a walking supporting apparatus for supporting a user walking by using a multi-sensor signal processing system that detects a walking intent. A palm sensor unit detects a force applied to a palm through a stick to generate a palm sensor signal. A sensor unit detects a force applied to a sole through the ground to generate a sole sensor signal. A portable information processing unit checks a user's walking intent by using the palm sensor signal, and if it is checked that the user has a walking intent, the portable information processing unit generates a driving signal in response to the sole sensor signal. A walking supporting mechanism includes a left motor attached to a user's left leg and a right motor attached to a user's right leg to support the user's walking when the left and right motors are driven in response to the driving signal.

Abstract: The present invention detects a candidate ROI group associated with character strings/figure strings on the basis of a result acquired through prior learning of various types of license plates, verifies the interested region candidate group detected by using at least one condition of five predetermined conditions, and determines an MBR region in the selected ROI region from the verified interested region candidate group by considering a ratio between the height and width of the ROI region to recognize the license plate for the automobile. According to the present invention, it is possible to automatically detect the location of the license plate regardless of various types of license plate specifications defined for each of countries.

Abstract: Disclosed are a component recognizing apparatus and a component recognizing method. The component recognizing apparatus includes: an image preprocessing unit configured to extract component edges from an input component image by using a plurality of edge detecting techniques, and detect a component region by using the extracted component edges; a feature extracting unit configured to extract a component feature from the detected component region, and create a feature vector by using the component feature; and a component recognizing unit configured to input the created feature vector to an artificial neural network which has learned in advance to recognize a component category through a plurality of component image samples, and recognize the component category according to a result.

Abstract: Disclosed is a method of detecting an upper body. The method includes detecting an omega candidate area including a shape formed of a face and a shoulder line of a human from a target image, cutting the target image into the upper body candidate area including the omega candidate area, detecting a human face from the upper body candidate area, and judging whether the upper body of the human is included in the target image according to the result of detecting the human face.

Abstract: Disclosed is a method of extracting a text area, the method including generating a text area prediction value within an input second image based on a plurality of text area data stored in a database including geometric information about a text area of a first image, generating a text recognition result value by determining whether a text is recognized with respect to a probable text area within the input second image, and selecting a text area within the second image by combining the generated text area prediction value and text recognition result value.

Abstract: A portable sensor apparatus allowing a mobile device to obtain biometric recognition data required for providing various services without changing the structure and size of the mobile device, and a biometric recognition-based service system having the same are provided. The portable sensor apparatus interworking with a mobile device through a short-distance wireless network includes: a sensor unit acquiring biometric recognition data; a short-distance wireless communications unit providing the biometric recognition data to the mobile device through the short-distance wireless network or receiving a request from the mobile device; a microprocessor commanding to acquire the biometric recognition data in response to a request from the mobile device or a user request; and a user interaction unit receiving the user request or displaying an operational state of the portable sensor apparatus.

Abstract: The present invention detects a candidate ROI group associated with character strings/figure strings on the basis of a result acquired through prior learning of various types of license plates, verifies the interested region candidate group detected by using at least one condition of five predetermined conditions, and determines an MBR region in the selected ROI region from the verified interested region candidate group by considering a ratio between the height and width of the ROI region to recognize the license plate for the automobile. According to the present invention, it is possible to automatically detect the location of the license plate regardless of various types of license plate specifications defined for each of countries.

Abstract: A system and method for verifying the face of a user using a light mask are provided. The system includes a facial feature extraction unit for extracting a facial feature vector from a facial image received from a camera. A non-user Gaussian Mixture Model (GMM) configuration unit generates a non-user GMM from a facial image stored in a non-user database (DB). A user GMM configuration unit generates a user GMM by applying light masks to a facial image stored in a user DB. A log-likelihood value calculation unit inputs the facial feature vector both to the non-user GMM and to the user GMM, thus calculating log-likelihood values. A user verification unit compares the calculated log-likelihood values with a predetermined threshold, thus verifying whether the received facial image is a facial image of the user.

Abstract: Provided is a method for measuring environmental parameters for multi-modal fusion. The method for measuring environmental parameters for multi-modal fusion, includes: preparing at least one enrolled modality; receiving at least one input modality; calculating image related environmental parameters of input images in at least one input modality based on illumination of enrolled image in at least one enrolled modality; and comparing the image related environmental parameters with a predetermined reference value and discarding the input image or outputting it as a recognition data according to the comparison result.

Abstract: A method and apparatus for recognizing a gesture in an image processing system. In the apparatus, an input unit receives an image obtained by capturing a gesture of a user using a camera. A detector detects a face area in the input image, and detects a hand area in gesture search areas. The gesture search areas being set by dividing the image into predetermined areas with reference to a predetermined location of the detected face area. A controller sets the gesture search areas, determines whether a gesture occurs in the detected hand area, and selects a detection area with respect to the gesture to generate a control command for controlling an image device. A calculator calculates skin-color information and differential-area information for checking a gesture in the detected hand area. Accordingly, a hand area can be accurately detected, and a gesture can be separated from peripheral movement information, so that mal-functioning caused by gesture recognition can be reduced.

Abstract: Provided is a walking supporting apparatus for supporting a user walking by using a multi-sensor signal processing system that detects a walking intent. A palm sensor unit detects a force applied to a palm through a stick to generate a palm sensor signal. A sensor unit detects a force applied to a sole through the ground to generate a sole sensor signal. A portable information processing unit checks a user's walking intent by using the palm sensor signal, and if it is checked that the user has a walking intent, the portable information processing unit generates a driving signal in response to the sole sensor signal. A walking supporting mechanism includes a left motor attached to a user's left leg and a right motor attached to a user's right leg to support the user's walking when the left and right motors are driven in response to the driving signal.