• Journal of The Korean Association of Information Education
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• 제23권4호
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• pp.363-374
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• 2019

Recently, there is an increasing interest in game based learning as a teaching method for digital native learners. This study set kinect game contributes to engaged learning as the competition and cooperation play (achievement goals, interaction), the digital game play (multisensory stimulation, fantasy and curiosity, chance, accurate feedback, control), and the body movement play (embodied cognition, presence). After performing classes using the motion recognition game developed for the elementary school history class, this study conducted semi structured interviews based on engaged learning elements of kinect game based learning for students who were successfully participating in learning. In the result, each element appeared to a successful learner. Based on these results, this study hopes to assist researchers as a basic evidence to introduce kinect game-based learning for engaged learning.

• Journal of the Korea Society of Computer and Information
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• 제22권9호
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• pp.73-80
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• 2017

In this paper, we design and implement a mobile game based on Kinect sensor. This game is a motion recognition maze game based on Kinect sensor using XNA Game Studio. The game consists of three stages. Each maze has different size and clear time limit. A player can move to the next stage only if the player finds the exit within a limited time. However, if the exit is not found within the time limit, the game ends. In addition, two kinds of mini games are included in the game. The first game is a fruit catch game using motion recognition tracking of the Kinect sensor, and player have to pick up a certain number of randomly falling fruits. If a player acquire a certain number of fruits at this time, the movement speed of the player is increased. However, if a player takes a skeleton that appears randomly, the movement speed will decrease. The second game is a Quiz game using the speech recognition function of the Kinect sensor, and a question from random genres of common sense, nonsense, ancient creature, capital, constellation, etc. are issued. If a player correctly answers more than 7 of 10 questions, the player gets useful items to use in finding the maze. This item is a navigator fairy that helps the player to escape the forest.

• Journal of Korea Game Society
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• 제15권3호
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• pp.135-150
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• 2015

After the release of SDK in 2011, Kinect developed for the motion recognition games has been applied not only in game but also in various fields such as science, education, and health care. It has some problems as belated responses to player's movements, a lot of noise in the recognized data, and an untraceable player when the body is partially occluded. Because of Kinect's such peculiarities of playing environment, most Kinect games require the inconvenience of Kinect's location or player's posture correction. In this paper, we propose an interface correction method that minimizes the requirements to be asked players, manages the exceptions such as noise, and enables to process consistently the player's movements in the game using Kinect. Also, we present the delay time to be considered to develop the game using Kinect through the experiment.

• Proceedings of the Korean Society of Computer Information Conference
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• 한국컴퓨터정보학회 2016년도 제53차 동계학술대회논문집 24권1호
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• pp.97-98
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• 2016

본 논문에서는 XNA Game Studio를 이용하여 Kinect 기반의 Bubble Pang 게임을 설계하고 구현한다. 이 게임은 유아용 게임으로 3개 스테이지 과일마을, 숫자학교, 영어하우스로 구성되어 있다. 게임 캐릭터와 각 스테이지는 유아용에 적합하도록 부드러운 느낌을 주기 위해 전체적으로 둥근 곡선을 이용하여 구현한다. 각 스테이지에서는 게임 캐릭터가 플레이어에게 힌트를 주고, 그 힌트를 참고하여 해답을 찾는다. 또한, Kinect 센서로 얻은 플레이어의 뎁스 정보와 스켈레톤 정보를 이용하여 플레이어의 동작과 게임 캐릭터 동작을 연동시킨다.

• Journal of Korea Game Society
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• 제16권5호
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• pp.149-158
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• 2016

This research is about development and usability test of 'Paldokangsan4' which is a serious game for the elderly to improve their physical and mental health. This game is the next version of last 'Paldokangsan3' developed in 2013. Its motion capture interface 'Kinect' has been stopped for production that we have to develop the next version with 'Kinect2'. We added a personal ID system to accumulate palyers' game histories, and let the player know the the current score comparing to the personal average score every time. Also we added real mart background to the traditional old market background of the game as well as a tutorial level to learn how to play the game personally. In 2016 Play Expo, we have installed and demonstrated it and gathered opinions of 40 volunteers in questionnaire. The result of their analysis showed that we could find the possibility of beneficial effects for the elderly following the last version.

• Journal of Korea Multimedia Society
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• 제17권2호
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• pp.248-256
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• 2014

This paper designs a serious game for rehabilitation of patients with body pains because they sit down for a long time in the same position, or less physical movement. Activity-based game induces to player improvements in physical exercise with fun elements of the game through entertainment to help the body function and substantially increases the player's commitment during challenging goal. This research is a game design that combines the treatment of color and movement of body to the rhythm of the music. We constructed with XNA Game Studio and KINECT interface with gesture recognition technology. We need to research of evaluation system and test for the actual effect of the treatment and advanced functions of game playes like adding various musics and variety of motion.

• Journal of Korea Multimedia Society
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• 제21권12호
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• pp.1493-1503
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• 2018

We propose an object recognition system and experiential game contents using Kinect to maximize object recognition rate by utilizing underwater robots. we implement an ice hockey game based on object-aware interactive contents to validate the excellence of the proposed system. The object recognition system, which is a preprocessor module, is composed based on Kinect and OpenCV. Network sockets are utilized for object recognition communications between C/S. The problem of existing research, degradation of object recognition at long distance, is solved by combining the system development method suggested in the study. As a result of the performance evaluation, the underwater robot object recognized all target objects (90.49%) with 80% of accuracy from a 2m distance, revealing 42.46% of F-Measure. From a 2.5m distance, it recognized 82.87% of the target objects with 60.5% of accuracy, showing 34.96% of F-Measure. Finally, it recognized 98.50% of target objects with 59.4% of accuracy from a 3m distance, showing 37.04% of F-measure.

• Journal of Korea Game Society
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• 제15권4호
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• pp.189-198
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• 2015

This paper is about a serious game controlled by EEG and motion capture. We developed our game for 2 users competitive and its method is as follows. One player uses a controlling interface using EEG signals based on the premise that the player's facial movements are a depiction of the player's emotion and intensity throughout the game play. The other player uses a controlling interface using kinect's motion capture technology which captures the player's vertical and lateral movements as well as state of running. The game shows the first player's EEG as a real-time graphic along the map on the game screen. The player will then be able to pace himself based on these visualization graphics of his brain activities. This results in higher concentration for the player throughout the game for a better score in the game. In addition, the second player will be able to improve his physical abilities since the game action is based on real movements from the player.

• Journal of Korea Game Society
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• 제14권1호
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• pp.49-58
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• 2014

We have developed a serious game for the elderly named 'Paldokangsan3' as a next version of 'Paldokangsan2' which was a walking game with memorization in shopping streets using controllers of hand buttons and foot boards with PC developed in 2012. The interface of had buttons and food boards were changed into the interface of motion capture with the aid of Kinect. The expected effects are improvement of memorization, improvement of concentration ability to find out items in the vision, improvement of vitality through physical walking actions, as well as improvement of mental health through entertainment activities of game play. We have tested 25 volunteers of more than 65 years old in Cheonan city community center for the elderly for 2 weeks. We got the result that the game play was showing positive effectiveness on memorization, physical exercise and self-esteem in mental health area of the elderly.

• Proceedings of the Korean Society of Computer Information Conference
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• 한국컴퓨터정보학회 2016년도 제53차 동계학술대회논문집 24권1호
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• pp.49-50
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• 2016

본 논문에서는 XNA Game Studio를 이용한 Kinect 센서 기반의 동작 인식 미로 게임 Come Back Home을 설계하고 구현한다. 이 게임은 3단계로 구성되어 있으며 각 미로는 단계별로 맵의 넓이와 클리어 제한 시간이 다르다. 플레이어는 제한된 시간 내에 출구를 찾아야만 다음 단계로 넘어갈 수 있다. 하지만 제한시간 내에 출구를 찾지 못하면 게임이 종료된다. 또한, 게임 내에는 두 종류의 게임 요소를 배치한다. 첫 번째 게임 요소는 동작인식 트래킹을 이용한 과일 줍기 게임 요소로 떨어지는 과일을 정해진 숫자만큼 주워야한다. 하지만 떨어지는 해골을 두 번 이상 줍게 된다면 게임은 실패한다. 두 번째 게임 요소는 스피치 음성 인식을 이용한 퀴즈 게임으로 상식, 넌센스, 고대생물, 수도, 별자리 등의 다양한 장르의 문제가 무작위로 출제된다. 플레이어는 총 10개의 문제 중 7개 이상 정답을 찾아야 게임을 성공시킬 수 있다. 이러한 게임 요소의 성공과 실패 여부에 따라 플레이어는 미로 찾기에서 사용할 수 있는 유용한 아이템을 획득할 수 있다.