• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.517-518
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• 2021

본 논문에서는 게임 개발 플랫폼인 언리얼 엔진 4을 사용하여 가상현실기술을 활용한 복싱 게임을 개발하였다. 복싱 게임을 더욱 실감나게 즐길 수 있도록 하기 위해 양 손에 부착한 VIVE 트래커로 복싱 동작을 모션 트래킹하여 아바타를 제어하였다. 게임 모드의 경우 연습모드와 스파링모드로 구성하였다. 연습모드에서 튜토리얼을 진행하여 게임플레이를 익힌 후 스파링모드에서 AI와 복싱 대결을 하도록 구현하였다. 스파링모드는 AI와 플레이어가 대결을 하며 먼저 체력을 소모시키면 승리하게 된다. 그리고 AI 캐릭터의 애니메이션 재생 속도에 따라 4가지 난이도를 설정할 수 있다. 가상현실 복싱게임은 VR기술을 이용하여 가정에서 간편하게 복싱 운동을 즐길 수 있으며, 더 많은 VIVE 트래커를 활용하면 정밀한 모션 트래킹이 가능하여 현실감을 높일 수 있다.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2013.05a
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• pp.323-324
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• 2013

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2013.05a
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• pp.733-734
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• 2013

• Journal of Drive and Control
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• v.17 no.3
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• pp.76-84
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• 2020

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.2
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• pp.397-402
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• 2024

Speech recognition and motion recognition technologies are applied and used in various smart devices, but they are composed of simple command recognition forms and are used as simple functions. Apart from simple functions for recognition data, professional command execution capabilities are required based on data learned in various fields. Research is being conducted on a system platform that provides optimal data to users using Generative AI, which is currently competing around the world, and can interact through voice recognition and motion recognition. The main technical processes designed for this study were designed using technologies such as voice and motion recognition functions, application of AI technology, and two-way communication. In this paper, two-way communication between a device and a user can be achieved by various input methods through voice recognition and motion recognition technology applied with AI technology.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2019.11a
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• pp.172-174
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• 2019

본 논문에서는 사용자가 자신의 움직임 및 심장 박동 상태를 모니터링 하기 위한 생체 인터넷 (Internet of Biometry: IoB) 기반의 HW/SW (hardware/software) 플랫폼 (platform)을 제안한다. 제안하는 시스템은 모션 센서 (motion sensor) 또는 심박 (heart rate) 센서와 같이 사용자의 생체 정보를 수집할 수 있는 센서를 사용한다. 또한, 마이크로프로세서 (microprocessor)를 사용하여 센서로부터 수집된 데이터를 사용자에게 필요한 생체 정보로 변환하고, 블루투스 (Bluetooth) 통신을 이용하여 사용자의 스마트폰 앱 (smartphone application)으로 변환한 생체 정보를 전달한다. 스마트폰 앱은 수신한 생체 정보를 디스플레이 (display)함으로써, 사용자가 자신의 상태를 모니터링 (monitoring) 할 수 있다. 제안한 시스템을 사용하여 해양 레포츠 (leisure sports) 등과 같은 활동을 하는 사람들이 자신의 몸 상태를 스스로 확인할 수 있고, 사고 예방의 효과를 얻을 수 있다.

• Journal of the Korea Convergence Society
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• v.7 no.4
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• pp.45-50
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• 2016

This paper describes the development of smart sticks as walking assistance for elderly people that incorporate motion sensing, hear-beat sensing, data processing, and communication functions. Our sticks communicate with users' smart phones and upon a detection of falling-off, an alarm is generated and propagated to multiple guardians registered in advance. In addition, the sticks provide smart healthcare functionalities for elderly people thus suggest an health platform that is empowered by various health-related informations. The heartbeat sensors and motion sensors mounted on the sticks enable various additional functions. Our smart sticks are designed to function as stable walking assistance as well as to support elderly people by providing useful services in the convergence with information technologies.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.47 no.5
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• pp.326-334
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• 2019

Development of Small UAV using HILS (Hardware In the Loop Simulation) can be effectively used to improve the reliability of UAV (Unmanned Aerial Vehicle) while reducing cost and time. It is also possible to reduce the damage to people or property by simulating the malfunction of the Flight Control Computer (FCC) that may occur during the actual flight. For applying such HILS, a real-time simulation environment capable of providing an environment similar to an actual flight condition is required. In this paper, we constructed a real - time HILS environment for Small UAV using 6 D.O.F motion table. In order to link the 6 D.O.F motion table developed in the previous research with the HILS environment in real time, the motion algorithm was changed from the position control method to the velocity control method. Also, we implemented modeling of inverse kinematics model for command transmission in Matlab $Simulink^{(R)}$ and verified the action of motion table according to the simulation model.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.10 no.6
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• pp.209-214
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• 2010

In this paper, We analyzes the image along the platform (Open Eye), through prevention of dementia or stroke patients and cognitive rehabilitation for the proposed system. This way through the camera image according to user's movement gained OpenCV image processing library, which is based on motion analysis, a part of this rehabilitation is to apply to cognitive rehabilitation. Therefore, this paper proposes a new image analysis system has been exposed to the elderly or stroke patients with dementia, their hand gestures through which patients can detect the image of the cognitive rehabilitation to help them in the analysis of the image analysis system is proposed.

• Smart Media Journal
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• v.1 no.4
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• pp.18-26
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• 2012

The increase of the number of smartphone applications has enforced the importance of new user interface emergence and has raised the interest of research in the convergence of multiple sensors. In this paper, we propose a method for the convergence of acceleration, magnetic and gyro sensors to recognize the gesture from motion of user smartphone. The proposed method first obtain the 3D orientation of smartphone and recognize the gesture of hand motion by using HMM(Hidden Markov Model). The proposed method for the representation for 3D orientation of smartphone in spherical coordinate was used for quantization of smartphone orientation to be more sensitive in rotation axis. The experimental result shows that the success rate of our method is 93%.