Recently, education game contents with advanced mobile and Web technology have been widely researched. However, considering of interaction involved for children, it is necessary user friendly interfaces and interesting interactions. In addition, it is important to design to encourage the user’s learning motivation as a way to the effect of educational game contents. Therefore, in this study, we designed and implemented the educational game contents system using inter-working between KINECT camera, PC, and android platform based humanoid robot. The designed system consisted of KINECT system for capturing hand gestures, game contents system for playing games, and android humanoid robot system for interacting with users. This system can lead to interests and willingness of users through handy interaction such as hand gestures and interesting quiz game contents. To improve effectiveness and userability, we plant to advance designed educational game contents system that can be operated on a smart TV system including a built-in camera as a further study.

현실감을 제공하는 콘텐츠의 제작 기술은 인터랙티브 몰입형 가상 환경의 응용 분야를 극대화할 수 있는 핵심 기술이다. 이 연구에서는 적응적인 배경 조정을 사용하여 움직임 없는 배경 비디오에서 전경을 분할하고 검출하기 위한효율적인 방법을 제안한다. 배경 조정 영상과 모션 영상간의 배경 차이 방법에 의해 배경으로부터 전경을 결정한다. 마지막으로, 비디오에서부터 분할된 사람의 모션을 기반으로 다양한 몰입형 2D게임을 개발한다. 개발된 기술은 가상현실 환경으로 발전하는 핵심 요소 기술이 될 것이며, 특히 교육 및 엔터테인먼트 등 체험을 요구하는 경우, 새로운 인터랙티브 미디어 기술의 핵심이 될 것이다.

Usually marine traffic survey has been conducted by some methods like an ocular observation using portable RADAR, a questionnaire, etc. But these should have expended a lot of manpower and expenses. In this paper, we have developed new observation module which could capture the RADAR image using PC camera simply, and allowed as to track targets on the PC monitor directly. And it has been programmed to make a database of RADAR image, target's track and information, and analyze the marine traffic tendency in various ways like vessel number crossed over gate line, vessel's velocity distribution in gate line, traffic density distribution, etc. We have confirmed that this module could observe and analyze the marine traffic efficiently and economically through several on-the-spot experiments.