Electronics and Telecommunications Research Institute

Seong Il Yang

Chang Hyun Kim

Ki Young Lee

Young Kil Kim

Oh Woog Kwon

Sung Kwon Choi

Sang Kyu Park

Yoon Hyung Roh

Eun Jin Park

Young Ae Seo

Yun Su Jin

Jinxia Huang

Ying Shun Wu

Changhao Yin

Jong Sung Kim

Young-Ae Seo

Sang Kwang Lee

Yoon-Hyung Roh

Si Hwan Jang

Young-Sook Hwang

Jong Hun Shin

Min Sung Yoon

Chang-Hao Yin

Sung Jin Hong

Seong Min Baek

Hee Sook Shin

Youn Hee Gil

Hyung Keun Jee

Cheol Ryu

Cho Rong Yu

Minsung Yoon

Mun Pyo Hong

Seung-Jin Hong

Young Sook Hwang

Sang Keun Jung

Young Ao Seo

Yingshun Wu

Seung Hoon Na

Eunjin Park

Chan Sub Kim

Daewook Kim

Chang Hao Yin

Sung Yun Park

Young Kii Kim

The present disclosure provides a method and device for analyzing user satisfaction of screen sports contents. According to one embodiment, the present disclosure provides a method of analyzing user satisfaction of a screen sports content, including generating first satisfaction detection information based on real-time chat data of a user using a text feature recognition model, generating second satisfaction detection information based on real-time chat data of the user using a language feature recognition model, and predicting real-time satisfaction of the user based on the first satisfaction detection information and the second satisfaction detection information using a satisfaction prediction model.

Method and apparatus for analyzing satisfaction of screen sports contents user

Provided is a method of automatically creating an agent that may interact with a user in a video game and providing a pre-created agent upon request of the user playing the video game when there is no user to play the video game.

Method of creating interaction-based cooperative agent, method of providing cooperative agent, and agent management server for performing methods

A method of synthesizing 3D joint data may include converting joint data collected from a depth camera of each of a plurality of RGB-D cameras from a depth camera coordinate system of each of the RGB-D cameras to a color camera coordinate system of each of the RGB-D cameras, and calculating a confidence level of the joint data converted to the color camera coordinate system using a 3D joint recognition algorithm based on the joint data converted to the color camera coordinate system. The method may further include applying a rotation matrix and a translation vector to the joint data and converting the joint data to a predetermined reference coordinate system, and obtaining a weighted-average of the joint data converted to the reference coordinate system using a weight calculated based on the confidence level to synthesize the joint data.

Method of synthesizing 3D joint data based on multi-view RGB-D camera

Provided are a context-aware model generating method, an important event determining method, and an in-game context management server for performing the same methods. The context-aware model generating method includes generating a context-aware model which determines whether an important event of a video game occurs by using in-game data, utterance data, and chat data collected from the video game capable of being broadcasted as a sports game video. The important event determining method includes combining candidate events predictable from each of the in-game data, the utterance data, and the chat data based on the context-aware model, and determining, as an important event, a candidate event including a duplicate game content among candidate events.

Context-aware model generating method and important event determining method in e-sports game, and in-game context management server performing the same methods

Provided is an impact motion recognition system for screen-based multi-sport coaching. The impact motion recognition system for screen-based multi-sport coaching includes: a high-speed stereo camera device installed on an upper end of a target object including a hitting body and an moving body and configured to acquire a stereo image sequence in which the hitting body and the moving body are photographed; an object detection unit configured to detect an object in the acquired stereo image sequence; a moving body recognition unit configured to identify whether an impact motion has occurred in the detected object to recognize the moving body; a hitting body detection unit configured to, based on the moving body being recognized through the moving body recognition unit, detect the object excluding the moving body as the hitting body; a target object tracking unit configured to continuously detect a center point of the moving body and a feature point of the hitting body in a subsequent stereo image sequence using characteristics of the moving body and the hitting body that are detected, and continuously track the center point of the moving body and the feature point of the hitting body until the center point of the moving body and the feature point of the hitting body are not detected; and a motion analysis unit configured to analyze three-dimensional (3D) motion information of the target object using the center point of the moving body and the feature point of the hitting body, which are detected through the target object tracking unit, and high-speed stereo camera correction data.

Impact motion recognition system for screen-based multi-sport coaching

A method of guaranteeing game quality by using an artificial intelligence (AI) agent is provided. The method includes extracting an item list (hereinafter referred to as an inspection item list) for inspecting quality of a target game, extracting and storing log data corresponding to a test performance result for each item of the inspection item list, performing imitation learning of an AI agent model on the basis of the stored log data, performing an automatic test for inspecting quality of the target game by using the AI agent model on which the imitation learning is completed, and automatically recording a bug and an error detected by the AI agent model.

Method and system for guaranteeing game quality by using artificial intelligence agent

An apparatus and a method for predicting a result of a computer game at a specific time point using obtaining play attributes of the computer game in a time slot including the specific time point; and predicting the result of the computer game at the specific time point by inputting the play attributes to a game result prediction model corresponding to the time slot are provided.

Apparatus and method for predicting result of the computer game

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.

Apparatus and method for experiencing augmented reality-based screen sports match

An agent creating method of creating an agent in a game environment is provided. The agent creating method includes creating, by an agent creating apparatus, a base agent on the basis of a common action characteristic pattern of players to transfer the base agent to the game server, receiving, by the agent creating apparatus, match result data obtained by performing a match between the base agent and a character of an individual player, and performing, by the agent creating apparatus, machine learning by using the match result data and creating an evolved agent customized for matchmaking of the individual player on the basis of a result of the machine learning.

Apparatus and method of creating agent in game environment

Disclosed is an apparatus for analyzing a game update effect according to a change in a gamer action sequence, the apparatus including: a gamer action information collector configured to collect action information of a gamer from a game operating server that provides a gamer terminal with a game and stores the action information of the gamer therein; a gamer action information sequence identifier configured to detect an action sequence of the gamer from the collected action information of the gamer; and an update result analyzer configured to analyze an consequence on behavior of the gamer with respect to an update of a game service by comparing action sequences of the gamer detected through the gamer action information sequence identifier on the basis of a time point of the update of the game service.

System and method for analyzing game update effect according to change of gamer action sequence

The present invention relates to a spoken dialog system and method based on dual dialog management using a hierarchical dialog task library that may increase reutilization of dialog knowledge by constructing and packaging the dialog knowledge based on a task unit having a hierarchical structure, and may construct and process the dialog knowledge using a dialog plan scheme about relationship therebetween by classifying the dialog knowledge based on a task unit to make design of a dialog service convenient, which is different from an existing spoken dialog system in which it is difficult to reuse dialog knowledge since a large amount of construction costs and time is required.

Spoken dialog system based on dual dialog management using hierarchical dialog task library

A method for establishing paraphrasing data for a machine translation system includes selecting a paraphrasing target sentence through application of an object language model to a translated sentence that is obtained by machine-translating a source language sentence, extracting paraphrasing candidates that can be paraphrased with the paraphrasing target sentence from a source language corpus DB, performing machine translation with respect to the paraphrasing candidates, selecting a final paraphrasing candidate by applying the object language model to the result of the machine translation with respect to the paraphrasing candidates, and confirming the paraphrasing target sentence and the final paraphrasing candidate as paraphrasing lexical patterns using a bilingual corpus and storing the paraphrasing lexical patterns in a paraphrasing DB. According to the present invention, the consistent paraphrasing data can be established since the paraphrasing data is automatically established.

Method for establishing paraphrasing data for machine translation system

A foreign language writing service method includes: recognizing, when a mixed text of foreign language portions and mother tongue portions is entered by a learner, the mother tongue portions from the mixed text; translating the mother tongue portions; combining a mother tongue translation result with the foreign language portions of the mixed text to generate a combined text; and providing the learner with the combined text of the mother tongue translation result and the foreign language portions of the mixed text.

Foreign language writing service method and system

A method for automatically detecting errors in machine translation using a parallel corpus includes analyzing morphemes of a target language sentence in the parallel corpus and a machine-translated target language sentence, corresponding to a source language sentence, to classify the morphemes into words; aligning by words and decoding, respectively, a group of the source language sentence and the machine-translated target language sentence, and a group of the source language sentence and the target language sentence in the parallel corpus; classifying by types errors in the machine-translated target language sentence by making a comparison, word by word, between the decoded target language sentence in the parallel corpus and the decoded machine-translated target language sentence; and computing error information in the machine-translated target language sentence by examining a frequency of occurrence of the classified error types.

Method and apparatus for detecting errors in machine translation using parallel corpus

A user-interactive automatic translation device for a mobile device, includes: a camera image controller for converting an image captured by a camera into a digital image; an image character recognition controller for user-interactively selecting a character string region to be translated from the digital image, performing a character recognition function on the selected character string region based on an optical character reader (OCR) function and character recognition information to generate a text string; and user-interactively correcting errors included in the text string. Further, the user-interactive automatic translation device includes a text transmission controller for transmitting the error-corrected text string; and an automatic translation controller for receiving the error-corrected text string from the text transmission controller, performing a morpheme analysis, tagging, a structure analysis, a structure conversion, and a vocabulary conversion on the text string to generate a translation of the text string based on a grammar of a target language.

User-interactive automatic translation device and method for mobile device

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Daejeon, South Korea

Seong Il Yang