• The Journal of the Korea Contents Association
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• v.17 no.8
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• pp.644-653
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• 2017

This study aimed to analyze the influence relations by applying Q methodology to five-star hotel restaurants' culinary staffs through the research on the subjectivity of five-star hotels' restaurant menu promotion on culinary staffs' job satisfaction and work devotion. This paper largely suggested two research questions like following. Research Question 1: How is the acceptance type of culinary staffs' job satisfaction and work devotion regarding five-star hotels' restaurant promotion? Research Question2: What are the homogeneous characteristics and the implications shown in the acceptance type of culinary staffs' job satisfaction and work devotion regarding five-star hotels' restaurant promotion? In the results of typological analysis based on such research questions, total three types were drawn. In detail, the type1(N=13)(Active personal development type), the type2(N=10)(Normal menu pursuit type), and type3(N=2(Enterprise development pursuit type) showed distinctive characteristics to each other. Researching five-star hotels' culinary staffs' subjective cases, this study could not comparatively analyze diverse cases. Also, in the future, the follow-up research aims to gradually conduct more diversified and objective analysis by developing more detailed questions and analysis method of Q methodology.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.552-554
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• 2019

Deaf mutism (a hearing-impaired person and speech disorders) communicates using sign language. There are difficulties in communicating by voice. However, sign language can only be limited in communicating with people who know sign language because everyone doesn't use sign language when they communicate. In this paper, a finger language translation system is proposed and implemented as a means for the disabled and the non-disabled to communicate without difficulty. The proposed algorithm recognizes the finger language data by leap motion and self-learns the data using machine learning technology to increase recognition rate. We show performance improvement from the simulation results.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.566-569
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• 2022

In this paper, the algorithm was developed to recognize hand golve gesture and implemented a system to remotely control the robot. The system consists of a camera and a controller that controls robot motion by hand position gesture. The camera recognizes the specific color of the glove and outputs the recognized range and position by including the color area of the glove. We recognize the velocity vector of robot motion and control the robot by the output data of the position and the detected rectangle. Through the several experiments, it was confirmed that the robot motion control was successfully performed.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.74-77
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• 2015

WiSee is by utilizing the frequency of Wi-Fi(802.11n/ac), a technique for performing the operation recognized by the user's gesture. Current motion recognition scheme are using a dedicated device (leaf motion, Kinekuto) and the recognition range is 30cm ~ 3.5m. also For recognition range increases the narrow recognition rate, there is inconvenience for maintaining a limited distance. But WiSee is used by Wi-Fi it is possible to anywhere motion recognition if available location. Permeability also has advantages as compared with the conventional recognition method. In this paper I take a look at the operation process and the recent trend of WiSee.

• KIISE Transactions on Computing Practices
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• v.21 no.8
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• pp.549-554
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• 2015

As intuitive hardware interfaces continue to be developed, it has become more important to recognize the posture of the user. An efficient alternative to adding expensive sensors is to implement computer vision systems. This paper proposes a method to recognize a user's postured in a live broadcast bi-directional participatory TV program. The proposed method first estimates the position of the user's hands by generation a facial color map for the user and a motion map. The posture is then recognized by computing the relative position of the face and the hands. This method exhibited 90% accuracy in an experiment to recognize three defined postures during the live broadcast bi-directional participatory TV program, even when the input images contained a complex background.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.46 no.2
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• pp.61-71
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• 2009

In this paper, we propose a low-cost and compact motion capture system which enables to play motion games in PS2(Play Station 2). Recently, motion capture systems which are being used as a part in film producing and making games are too expensive and enormous systems. Now days, motion games using common USB camera are slow and have two-dimension recognition. But PSD sensor has a few good points, such as fast and low-cost. In recently year, 3D motion capture systems using 2D PSD (Position Sensitive Detector) optic sensor for motion capturing have been developed. One is Multi-PSD motion capture system applying stereo vision and another is Single-PSD motion capture system applying optical theory ship. But there are some problems to apply them to motion games. The Multi-PSD is high-cost and complicated because of using two more PSD Camera. It is so difficult to make markers having omni-direction equal intensity in Single-PSD. In this research, we propose a new theory that solves aforementioned problems. It can measure 3D coordination if separated two marker's intensity is equal to. We made a system based on this theory and experimented for performance capability. As a result, we were able to develop a motion capture system which is a single, low-cost, fast, compact, wide-angle and an adaptable motion games. The developed system is expected to be useful in animation, movies and games.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.48 no.4
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• pp.30-37
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• 2011

This paper proposes a language set of hand motions for enhancing the performance of vision-based hand signal recognizer. Based on the statistical analysis of the angular tendency of hand movements in sign language and the hand motions in practical use, we construct four motion primitives as building blocks for basic hand motions. By combining these motion primitives, we design a discernable 'fundamental hand motion set' toward increasing the hand signal recognition. To demonstrate the validity of proposed designing method, we develop a 'fundamental hand motion set' recognizer based on hidden Markov model (HMM). The recognition system showed 99.01% recognition rate on the proposed language set. This result validates that the proposed language set enhances discernaility among the hand motions such that the performance of hand signal recognizer is improved.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.05a
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• pp.919-922
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• 2005

유비쿼터스 환경에서의 사용자의 위치인식 및 행동인식은 매우 중요하다. 인식을 하기위해 카메라를 쓰는 것은 센서를 이용하는 것에 비하여 여러 가지 장점들이 존재한다. 본 논문은 여러 대의 네트워크 카메라를 이용한 실내에서의 사용자의 위치인식 및 행동인식을 위한 시스템을 제안한다. 사용자의 위치인식, 행동인식을 위하여 시스템에서는 영상처리기법들이 사용된다. 또한 행동인식에서는 추가적으로 SVM을 이용한 학습 및 예측 방법이 사용된다.

• The Journal of the Korea Contents Association
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• v.20 no.3
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• pp.390-399
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• 2020

The purpose of this study was to apply Q methodology to the graduate students who have a good reputation in the food service industry in Seoul, in order to grasp the subjective perception of the customers about the small-scale banquet menu promotion of luxury hotels. As a result of the type analysis, a total of four were derived. Type 1 (N = 4): Banquet menu configuration comparison type, Type 2 (N = 5): Banquet food hygiene-seeking at a Type, Type 3 (N = 3): Banquet menu quality satisfied type, Type 4 (N = 6): Banquet course focus type. Based on this study, it will be used as basic data for the direction of the development of small-scale banquet menu promotion of the luxury hotel, the boom of the domestic hotel industry, and the service quality in the future.

• Journal of the Korea Convergence Society
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• v.10 no.11
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• pp.111-116
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• 2019

With recent rapid development of computer capabilities, various technologies that can facilitate the interaction between humans and computers are being studied. The paradigm tends to change to NUI using the body such as 3D motion, haptics, and multi-touch with GUI using traditional input devices. Various studies have been conducted on transferring human movements to computers using sensors. In addition to the development of optical sensors that can acquire 3D objects, the range of applications in the industrial, medical, and user interface fields has been expanded. In this paper, I provide a model that can execute other programs through gestures instead of the mouse, which is the default input device, and control Windows based on the lip motion. To propose a model which converges with an Android application and can be controlled by various media and voice instruction functions using voice recognition and buttons through connection with a main client. It is expected that Internet media such as video and music can be controlled not only by a client computer but also by an application at a long distance and that convenient media viewing can be performed through the proposal model.