Abstract: A method and an apparatus for virtual training based on tangible interaction are provided. The apparatus acquires data for virtual training, and acquires a three-dimensional position of a real object based on a depth image and color image of the real object and infrared (IR) data included in the obtained data. Then, virtualization of an overall appearance of a user is performed by extracting a depth from depth information on a user image included in the obtained data and matching the extracted depth with the color information, and depth data and color data for the user obtained according to virtualization of the user is visualized in virtual training content. In addition, the apparatus performs correction on joint information using the joint information and the depth information included in the obtained data, estimates a posture of the user using the corrected joint information, and estimates a posture of a training tool using the depth information and IR data included in the obtained data.

Abstract: A method of supporting self-learning and a system for performing the method are disclosed. The method includes estimating an object of interest of a user in content based on user performance information inputted by the user in response to content situation information and the content being received from a learning module including the content, analyzing the content situation information, determining whether to generate support information for supporting the user to perform the content based on the estimated object of interest and the analyzed content situation information, and generating the support information that allows the user to self-learn the content according to whether to generate the support information, and outputting the support information to the learning module.

Abstract: Provided is a system for education in augmented reality (AR) for technology education in AR, The system for education in AR includes an instructor terminal configured to, in order to guide training of at least one learner on site or remotely using AR content, identify a training process of the trainee and generate training support information, an AR service providing server configured to manage the instructor terminal and a learner terminal that participate in the training using the AR content based on a request of the instructor terminal, and at least one learner terminal configured to transmit content training information to the AR service providing server.

Abstract: A method of supporting self-learning and a system for performing the method are disclosed. The method includes estimating an object of interest of a user in content based on user performance information inputted by the user in response to content situation information and the content being received from a learning module including the content, analyzing the content situation information, determining whether to generate support information for supporting the user to perform the content based on the estimated object of interest and the analyzed content situation information, and generating the support information that allows the user to self-learn the content according to whether to generate the support information, and outputting the support information to the learning module.

Abstract: A virtual content providing device includes: a communication circuit capable of communicating with a wearable device worn by a user; and a processor functionally connected to the communication circuit. The processor is configured to: display virtual training content on the wearable device through the communication circuit; generate training situation information and user condition information associated with the virtual training content through the wearable device; determine a intervention time point for the virtual training content based on the training situation information and the user condition information; generate virtual intervention content associated with the intervention time point; and display the virtual intervention content in synchronization with the virtual training content through the wearable device.

Abstract: Provided are an apparatus and method for experiencing an augmented reality (AR)-based screen sports match which enable even a child, an elderly person, and a person with a disability to easily and safely experience a ball sports match, such as tennis, badminton, or squash, as a screen sports match without using a wearable marker or sensor, a wearable display, an actual ball, and an actual tool.

Abstract: A method and an apparatus for virtual training based on tangible interaction are provided. The apparatus acquires data for virtual training, and acquires a three-dimensional position of a real object based on a depth image and color image of the real object and infrared (IR) data included in the obtained data. Then, virtualization of an overall appearance of a user is performed by extracting a depth from depth information on a user image included in the obtained data and matching the extracted depth with the color information, and depth data and color data for the user obtained according to virtualization of the user is visualized in virtual training content. In addition, the apparatus performs correction on joint information using the joint information and the depth information included in the obtained data, estimates a posture of the user using the corrected joint information, and estimates a posture of a training tool using the depth information and IR data included in the obtained data.

Abstract: Provided are an apparatus and method for experiencing an augmented reality (AR)-based screen sports match which enable even a child, an elderly person, and a person with a disability to easily and safely experience a ball sports match, such as tennis, badminton, or squash, as a screen sports match without using a wearable marker or sensor, a wearable display, an actual ball, and an actual tool.

Abstract: A virtual content providing device includes: a communication circuit capable of communicating with a wearable device worn by a user; and a processor functionally connected to the communication circuit. The processor is configured to: display virtual training content on the wearable device through the communication circuit; generate training situation information and user condition information associated with the virtual training content through the wearable device; determine a intervention time point for the virtual training content based on the training situation information and the user condition information; generate virtual intervention content associated with the intervention time point; and display the virtual intervention content in synchronization with the virtual training content through the wearable device.

Abstract: A method of recognizing motions of a plurality of users through a motion recognition apparatus includes acquiring a plurality of depth images from a plurality of depth sensors disposed at different positions, extracting user depth data corresponding to a user area from each of the plurality of depth images, allocating a label ID of each user to the extracted user depth data; matching the label ID for each frame of the depth images, and tracking a joint position for the user depth data on the basis of a result of the matching.

Abstract: Provided is an alternative text generating method. The alternative text generating method includes recognizing input visual content, generating input information corresponding to a recognition result of the recognition of the visual content, generating an editing window including an input item to which the input information is automatically input, automatically generating an alternative text, based on an alternative text generation rule and the input information, and displaying the generated alternative text on a text box of the editing window.

Abstract: A similarity calculating method and apparatus are disclosed. A similarity calculating method according to an exemplary embodiment of the present invention includes extracting similarity calculating data, which is determined in advance, by receiving a communication activity record for every user; modeling a communication activity pattern for every user and common information between the users based on the extracted similarity calculating data; and calculating a similarity between users using the modeled communication activity pattern for every user and common information. The modeling includes: modeling the communication activity pattern by calculating a value of a static feature from the similarity calculating data, and modeling the common information by calculating a value of a dynamic feature from the similarity calculating data.

Abstract: A method for visualizing record data with a mobile forensic device for collecting and managing the record data including partner information when an event, such as a call or text service, occurs, includes: calculating an event occurrence frequency for each partner information using the collected record data; and classifying the partner information on the basis of a grade according to the calculated event occurrence frequency. Further, the method includes generating graphic data showing a relation between the partner information and user information of a mobile terminal on the basis of the classified grade; and displaying the graphic data.

Abstract: Proposed is a data visualizing apparatus for visualizing data as effectual information using a correlation between forensic data collected from various sources. The proposed data visualizing apparatus may visualize, as effectual information, single-source single-data, single-source multi-data, and multi-source multi-data.

Abstract: A method for visualizing record data with a mobile forensic device for collecting and managing the record data including partner information when an event, such as a call or text service, occurs, includes: calculating an event occurrence frequency for each partner information using the collected record data; and classifying the partner information on the basis of a grade according to the calculated event occurrence frequency. Further, the method includes generating graphic data showing a relation between the partner information and user information of a mobile terminal on the basis of the classified grade; and displaying the graphic data.

Abstract: Provided is a forensic index method by distributed processing, including: generating data to be divided by dividing data to be indexed according to predetermined division setting for distributed processing; allocating the generated data to be divided to a plurality of data processing units according to the predetermined division setting, extracting an index by filtering the allocated data to be divided in the plurality of data processing units, and generating divided index data including the extracted index; and generating an index database by merging the generated divided index data.

Abstract: Disclosed are an apparatus and a method that determine a human relationship having an online relationship with a specific user by using user information and a friend relationship that exist on a social network service, transmitted and received data, and the like, determine communication information based on the human relationship, and enable additional analysis such as a time based status progress analysis, or the like. In particular, a more comprehensive and accurate analysis result is presented by simultaneously information on two or more social network services for one person.

Abstract: A similarity calculating method and apparatus are disclosed. A similarity calculating method according to an exemplary embodiment of the present invention includes extracting similarity calculating data, which is determined in advance, by receiving a communication activity record for every user; modeling a communication activity pattern for every user and common information between the users based on the extracted similarity calculating data; and calculating a similarity between users using the modeled communication activity pattern for every user and common information. The modeling includes: modeling the communication activity pattern by calculating a value of a static feature from the similarity calculating data, and modeling the common information by calculating a value of a dynamic feature from the similarity calculating data.

Abstract: A system and method for data analysis and digital forensics is provided. The system for data analysis and digital forensics may include: an online data forensic server for collecting and analyzing usage history information from an object device, which is subject to data collection, downloading and collecting data on the Internet based on the usage history information, requesting issuance of a timestamp token for the collected data, and receiving the issued timestamp token; a timestamp token issuing server for issuing the timestamp token for the collected data in response to the request for issuance of the timestamp token and proving the issued timestamp token to the online data forensic server; and a storage device for storing the collected data.