• Journal of the Ergonomics Society of Korea
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• v.31 no.4
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• pp.541-550
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• 2012

Objective: The aim of this study is to suggest a notation method for three-dimensional hand gesture. Background: To match intuitive gestures with commands of products, various studies have tried to derive gestures from users. In this case, various gestures for a command are derived due to various users' experience. Thus, organizing the gestures systematically and identifying similar pattern of them have become one of important issues. Method: Related studies about gesture taxonomy and notating sign language were investigated. Results: Through the literature review, a total of five elements of static gesture were selected, and a total of three forms of dynamic gesture were identified. Also temporal variability(reputation) was additionally selected. Conclusion: A notation method which follows a combination sequence of the gesture elements was suggested. Application: A notation method for three dimensional hand gestures might be used to describe and organize the user-defined gesture systematically.

• Proceedings of the KIEE Conference
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• 2003.11c
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• pp.532-535
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• 2003

In this paper, we propose a new algorithm that can enhance the speed of template matching of hand vascular pattern person verification or recognition system. Various template matching algorithms have advantages in the matching accuracy, but most of the algorithms suffer from computational burden. To reduce the computational amount, with accuracy maintained, we propose following template matching scenario as follows. firstly, original hand vascular image is re-sampled in order to reduce spatial resolution. Secondly, reconstructed image is projected to vertical and horizontal direction, being converted to two one dimensional (1D) data. Thirdly, converted data is used to estimate spatial discrepancy between stored template image and target image. Finally, matching begins from where the estimated order is highest, and finishes when matching decision function is computed to be over certain threshold. We've applied the proposed algorithm to hand vascular pattern identification application for biometrics, and observed dramatic matching speed enhancement. This paper presents detailed explanation of the proposed algorithm and evaluation results.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.19 no.2
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• pp.212-222
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• 2012

Purpose: The purpose of this study was to examine the effects of infection control education for families of patients infected with vancomycin resistant enterococcus (VRE). Method: Forty family members of VRE patients were chosen from a university hospital and assigned to the experimental or control group. The experimental group was provided infection control education that consisted of one-on-one instruction using an information booklet, hand-washing video, and demonstration of hand washing practice. Dependent variables were self-reported knowledge and performance of VRE infection control measures, and the number of hand washings when entering and leaving patients' rooms. Results: Knowledge and performance scores were significantly higher for the experimental group compared to the control group. The experimental group washed their hands significantly more often when entering and leaving patients' rooms than the control group. Conclusion: Infection control education for family members of VRE patients was effective in improving knowledge and performance of infection control measures as well as improving the practice of hand washing. Further investigation is needed on the effects of infection control education for families on the actual VRE colonization and/or infection rate.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.1431-1434
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• 2005

In the steel production line, the molten metal of a furnace is transformed into billet and then moves to the heating furnace of the hot rolling mill. This paper describes about the development of recognition system for the characters, which was marked at the billet material by use template-marking plate and hand written method, in the steel plant. For the recognition of template-marked characters, we propose PSVM algorithm. And for the recognition of hand written character, we propose combination methods of CCD algorithm and PSVM algorithm. The PSVM algorithm need some more time than the conventional KLT or SVM algorithm. The CCD algorithm makes shorter classification time than the PSVM algorithm and good for the classification of closed curve characters from Arabic numerals. For the confirmation of algorithm, we have compared our algorithm with conventional methods such as KLT classifier and one-to-one SVM. The recognition rate of experimented billet characters shows that the proposing PSVM algorithm is 97 % for the template-marked characters and combinational algorithm of CCD & PSVM is 95.5 % for the hand written characters. The experimental results show that our proposing method has higher recognition rate than that of the conventional methods for the template-marked characters and hand written characters. By using our algorithm, we have installed real time character recognition system at the billet processing line of the steel-iron plant.

• Proceedings of the KSR Conference
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• 2003.05a
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• pp.159-164
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• 2003

The purpose of this article is to comparatively depict the organizational effectiveness of two rail firms based on the cognitive response of employees(group of drivers). To attain this purpose, several aspects of current personnel and organization management system and organizational culture are surveyed through questionaire and analyzed by SPSS. The questionaire includes two parts of items. First, it includes items on personnel-related factors such as evaluation system, job, wage, role, leadership and job satisfaction. Second, it includes items on organizational culture model suggested by Rousseau. The major findings are : 1) In general, the cognitive response of drivers in two firms concerning personnel-related aspects is to a certain degree negative. 2) The cognitive response of drivers in two firms concerning culture-related aspects is also awfully negative. 3) Job satisfaction of drivers in the firm A is highly related to role and leadership factors in terms of personnel-related aspects, on the one hand, and to achievement factor in terms of culture, on the other hand. In case of the firm B, job satisfaction of drivers is highly related to personnel evaluation factor as well as role and leadership factors in terms of personnel-related aspects, on the one hand, and to affiliation, power, and bureaucracy factors in terms of culture, on the other hand.

• Journal of Korea Game Society
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• v.3 no.2
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• pp.24-29
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• 2003

The market of digital avatar with internet and digital technology is increasing rapidly. The users want to express any free-formed motion of their avatars in the cyber space. The user s motion capturing method as the avatar's motion can express any free-formed motion of the avatar in real-time but the methods are expensive and inconvenient. In this paper, we proposed a new method of expressing any free-formed motion of the avatar in real-time. The proposed method is an algorithm for real-time control of a 3D avatar in symmetry-formed free motion. Specially, the algorithm aims at the motion control of a 3D avatar for online dancing games. The proposed algorithm uses the skeleton character model and controls any one of two hands of the character model by a joystick with two sticks. In the symmetry-formed motion, the position and orientation of one hand can determine the position and orientation of the other hand. And the position and orientation of a hand as an end-effector can determine the pose of the arm by Inverse Kinematics. So the algorithm can control the symmetry-formed free motions of two arms by one joystick with two sticks. In the dance game, the algorithm controls the arm motion by the joystick and the other motion by the motion captured DB.

• Journal of the East Asian Society of Dietary Life
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• v.18 no.1
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• pp.80-86
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• 2008

Both hand-made and machine-made Chinese noodles are popular in Korea. In this study, each type was evaluated in terms of its physical properties to rigorously determine for consumers which one has better qualities. The noodles were instrumentally measured for color, size, moisture content, density, viscoelasticity, and cutting force. The behaviors of the noodles were visually observed during cooking, and sensory evaluations were performed with the cooked noodles. The hand-made raw noodles were less dense, had higher moisture content, and generated more bubbles during cooking than the machine-made noodles. This indicated that the hand-made noodles contained more entrapped air, thereby resulting in the above physical characteristics. The change in noodle size after cooking was greater in the hand-made noodles, indicating that more entrapped air in expansion escaped during cooking and was replaced by water. The cutting force and viscoelasticity of the hand-made noodles were lower, and were controlled by viscous properties, respectively. These results agreed with the fact that the hand-made noodles had higher moisture content and lower density. In the sensory evaluation, the hand-made noodles presented lower hardness, but higher elasticity. It was inferred that the hand-made noodle dough underwent repeated processes of folding and extending, resulting in better developed of the gluten structure. Consequently, the hand-made noodles were determined to be different than the machine-made noodles in terms of instrumental measurements and sensory observations, suggesting that the hand-made noodles had superior textural properties.

• Journal of Korean Biological Nursing Science
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• v.13 no.1
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• pp.16-22
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• 2011

Purpose: Hand washing has received renewed emphasis in recent years as Swine flu epidemic threaten health of public. This study aimed to describe measures used to prevent new types of influenza (NTI); describe hand washing frequency; and analyze the relationship of hand washing to locus of control, uncertainty, and state anxiety. Methods: One hundred thirty three adults participate in the questionnaire survey in which participants indicated measures they used to prevent NTI, frequency of handwashing for the prevention of NTI. They also responded to questions related to locus of control, uncertainty and state anxiety. Data were analyzed using descriptive statistics, Pearson correlation and multiple regression. Results: A majority (66.9%) of the participants indicated that handwashing was an important measure to prevent NTI. Importance of hand-washing was related the highest among the measures they used and it was significantly related to participants who had high score in internal locus of control. Other significant factor to the hand-washing behavior was state anxiety, which explained 6.9% of the frequency. Conclusion: According to the results of this study, majority of participants indicated that handwashing was one of the most important measures to prevent NTI. Nurses need to continue educating public the importance of handwashing and pay attention to personal characteristics such as internal locus of control and anxiety to promote hand-washing.

• Korean Journal of Applied Biomechanics
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• v.12 no.1
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• pp.173-191
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• 2002

The purpose of this study was defined efficient throw motion pattern to obtain the quantitative data and to achieve successful bowling through kinetic - kinematic variables on the throw motion. Subject of group composed of three groups : Higher bowlers who are two representative bowlers with 200 average points and one pro-bowler. Middle bowlers who are three common persons with 170 average points. Lower bowler who are three common persons with 150 average points. Motion analysis on throw motion in three groups respectively has been made through three-dimension cinematography using DLT method. Two high-speed video camera at operating 180 frame per secondary. One-way ANOVA has been used to define variable relations. Analyzed result and conclusion are the following : The displacement of back of the hand must have wider difference of each right-left displacement to increase the spin of the ball. In high bowlers group, difference between the front-rear position of back of the hand in case of success and that in case of failure in follow throw is 0.17m. That is to say, momentum in case of success come to increase greatly, compared with that in case of failure. To increase the spin of the ball, the potential difference should be narrower in follow through. In case of the high bowlers, the velocity of the front-rear direction of the back of the hand has been the fastest both in release and follow through, compared with those in other groups, which has contributed to increasing the spin force of the ball. The orders in the resultant velocity of the back of the hand has shown the this : the finger tip$\rightarrow$the back of the hand$\rightarrow$wrist.These orders made the proximal segment support the distal segment. The distal segment has provided the condition to accelerate the velocity. In case of failure, the suddenly increased velocity has caused the failure in the follow through. Acutely flexing the angle of the back of the hand has contributed to lifting to increase the spin of the ball.

• Journal of KIISE:Software and Applications
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• v.35 no.4
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• pp.265-279
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• 2008

The idea of using hand gestures for human-computer interaction is not new and has been studied intensively during the last dorado with a significant amount of qualitative progress that, however, has been short of our expectations. This paper describes a dynamic Bayesian network or DBN based approach to both two-hand gestures and one-hand gestures. Unlike wired glove-based approaches, the success of camera-based methods depends greatly on the image processing and feature extraction results. So the proposed method of DBN-based inference is preceded by fail-safe steps of skin extraction and modeling, and motion tracking. Then a new gesture recognition model for a set of both one-hand and two-hand gestures is proposed based on the dynamic Bayesian network framework which makes it easy to represent the relationship among features and incorporate new information to a model. In an experiment with ten isolated gestures, we obtained the recognition rate upwards of 99.59% with cross validation. The proposed model and the related approach are believed to have a strong potential for successful applications to other related problems such as sign languages.