• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.419-420
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• 2022

This paper presents a method that allows users to interactively register their own gestures for a motion-based game system. Existing motion-based game systems create recognizers by collecting predefined gesture data. However, this sometimes requires difficult expertise or rather difficult courses. To alleviate these complex situations, we propose a full-body skeleton-based game system that can interactively register gestures.

• Journal of Digital Contents Society
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• v.16 no.4
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• pp.635-643
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• 2015

This study conducted a case study using various platforms centered on a tennis game to examine what forms the movements of a game player had when they were abstracted in the game. In particular, it summarized the forms of the player's experience that could be attained from the abstracted tennis actions into the 4 types: movement, swing, direction & intensity, and skill; and observed and schematized them in the early video games, console games, mobile games, Gesture recognition games, and wearable games. In conclusion, the development of technology offers the players with greater experience. For example the change of the platform of simple games of pressing buttons into swinging. Furthermore, the study found a consistency in the context even though the difference of action was slightly found by the interface.

• Journal of Korea Game Society
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• v.13 no.6
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• pp.75-84
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• 2013

The recording and matching method of pose and gesture based on PC-window platform is introduced in this paper. The method uses the gesture detection camera, Xtion which is for the Windows PC. To develop the method, the API is first developed which processes and compares the depth data, RGB image data, and skeleton data obtained using the camera. The pose matching method which selectively compares only valid joints is developed. For the gesture matching, the recognition method which can differentiate the wrong pose between poses is developed. The tool which records and tests the sample data to extract the specified pose and gesture is developed. 6 different pose and gesture were captured and tested. Pose was recognized 100% and gesture was recognized 99%, so the proposed method was validated.

• Proceedings of the Korean Society of Computer Information Conference
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• 2012.01a
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• pp.177-178
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• 2012

최근의 게임 시장에서 체감형 게임은 홈 엔터테인먼트의 중심이 되어가고 있으며 그만큼 큰 인기를 끌며 발전하고 있다. 본 논문에서는 스마트폰 모션 센서를 실제 게임에 적용하기 위한 동작 인식 방법과 적용방법을 제안한다. 본 논문에서는 모션 센서를 이용하여 테니스 게임에 사용되는 모션들을 인식하고 적용시킨다. 실험의 결과 스마트폰 모션 센서를 적용시켜 게임에 이용하는 데에 사용자가 충분한 만족도를 보였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.1513-1516
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• 2013

본 연구는 최근 개발된 다양한 저비용 센서와 기계 학습 알고리즘을 이용한 게임을 위한 사람 팔 제스처 인식에 관한 것이다. 게임의 입력으로 사용할 수 있는 동작 10개를 정의하고, 이러한 동작들을 센서에서 수집된 팔 관절의 좌표를 추적하여 전처리했다. 자료의 시간성을 고려하여 HMM(Hidden Markov Model)을 학습 알고리즘으로 사용하였으며 제안한 방법의 유용성은 실험을 통해 검증했다.

• The KIPS Transactions:PartB
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• v.10B no.2
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• pp.213-218
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• 2003

In this paper, we implement a crossword game, which operate by speech. The CAA (Cross Array Algorithm) produces the crossword array randomly and automatically using an domain-dictionary. For producing the crossword array, we construct seven domain-dictionaries. The crossword game is operated by a mouse and a keyboard and is also operated by speech. For the user interface by speech, we use a speech recognizer and a speech synthesizer and this provide more comfortable interface to the user. The efficiency evaluation of CAA is performed by estimating the processing times of producing the crossword array and the generation ratio of the crossword array. As the results of the CAA's efficiency evaluation, the processing times is about 10ms and the generation ratio of the crossword array is about 50%. Also, the recognition rates were 95.5%, 97.6% and 96.2% for the window sizes of "$7{\times}7$", "$9{\times}9$," and "$11{\times}11$" respectively.}11$" respectively.vely.

• Proceedings of the Korean Society of Computer Information Conference
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• 2013.07a
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• pp.375-378
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• 2013

인터넷 통신량의 대부분이 주문형 비디오(VOD) 서비스임은 이미 널리 알려진 바와 같다. VOD 사용자 인터페이스가 사용자의 손동작을 인식한다면 노인, 유아, 장애인 등 리모트컨트롤의 사용이 쉽지 않은 사용자들도 편리하게 VOD를 즐길 것이다. 게임 등에서는 이미 키넥트(KINECT)를 이용한 사용자 인터페이스가 널리 사용되고 있어, 본 논문은 키넥트를 이용한 VOD 사용자 인터페이스를 제안한다. 제안한 사용자 인터페이스는 키넥트에서 얻을 수 있는 손의 좌표와 깊이 정보 데이터를 이용하여, 사용자가 메뉴를 선택하는 것을 인식하고 사용자가 비디오를 선택하면 해당 동영상 콘텐츠를 재생하는 등의 적절한 동작을 한다. 동영상 콘텐츠는 네트워크 상에서 멀티미디어 데이터 스트리밍 방법에 대한 표준안인 RTSP(Real-time Streaming Protocol)로 전송하여 실시간으로 동영상을 재생한다.

• Proceedings of the Acoustical Society of Korea Conference
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• 1998.06e
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• pp.335-338
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• 1998

본 논문에서는 음성인식 알고리즘인 HMM을 사용하여 Windows 환경에서 온라인으로 사용할 수 있는 음성인식 게임“Voice Illust Magic”개발에 관하여 소개한다. 사용자와 컴퓨터가 상호작용(Interaction)할 수 있는 매체를 마우스와 키보드뿐만 아니라 게임에 필요한 명령어를 음성인식으로 실행함으로써 정보전달이 매우 효과적으로 이루어져 사용자가 접근하기 쉽고 편리하게 되었으며 의사전달 효율을 높일 수 있었다. 음성인식 과정을 온라인으로 마이크를 통해 들어온 음성을 자동으로 끝점을 검출한 후, Mel-Cepstrum을 추출하여 Word 단위의 reference HMM과 비교하여 최적의 model이 선택되면, 윈도우즈에게 메시지를 보내어 마우스나 키보드가 동작하는 것과 마찬가지로 실행되도록 하였다. 또한, 입력 음성을 모든 reference pattern과 비교하는 것이 아니라 그 상황에 적용될 수 있는 표준 패턴을 한정함으로써 탐색시간을 줄일 수 있었으며 높은 인식률을 나타내었다.

• Journal of Korea Game Society
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• v.10 no.5
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• pp.65-73
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• 2010

In this paper, we developed the device for an interactive game interface using bio signals which were able to recognize user's motion intention using EMG signals and it was applied to the games which need the information of the muscle motion directions. The module for acquiring EMG signals consists of 4-Ch, wrist-motions were defined as up, right, down and left state. The user's intent was recognized through thresholding and comparing signals of each channel. The classification result of the motion directions could control the arrow keys on the keyboard of PC and it was applied on the various games. This proposed game device can be expected to induce an effective exercise with an interesting and enjoyment, and it can use both self-developed or commercial games.

• Journal of Korea Game Society
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• v.12 no.6
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• pp.5-14
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• 2012

The purpose of this paper is to demonstrate how three-dimensional gesture recognition technology, in children's traffic safety programs, can be an effective solution for instructing children in the safest ways to interact with traffic. In terms of traffic accidents, walking unaccompanied is the most dangerous traffic related activity for children. By using a three-dimensional serous game training program that implements gesture recognition, more accurate real life scenarios can be implemented in existing children's traffic training programs. The implementation of this technology will increase the possibility of changing the habits and attitudes of children, which in turn will lower the amount of walking related traffic accidents in children.