• Journal of the Korea Society of Computer and Information
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• v.24 no.2
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• pp.201-207
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• 2019

The purpose of this study is to suggest some implications by empirical testing the relationships between children's self-perception and human rights recognition in local children's center. For this study, Total 438 children were sampled and surveyed. The analytical results are the followings. First, personal characteristics was shown to have a significant effect to human right recognition. Second, self-perception was shown to have a significant effect to human right recognition. Third, right guarantee of center was shown to moderate the relationship between self-perception and human right recognition. This study provides some theoretical and polcy implications basing on these analytical results.

• The Journal of the Korea Contents Association
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• v.14 no.1
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• pp.24-29
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• 2014

This paper proposes a kinect-based human motion recognition model for the 3D contents control after tracking the human body gesture through the camera in the infrared kinect project. The proposed human motion model in this paper computes the distance variation of the body movement from shoulder to right and left hand, wrist, arm, and elbow. The human motion model is classified into the movement directions such as the left movement, right movement, up, down, enlargement, downsizing. and selection. The proposed kinect-based human motion recognition model is very natural and low cost compared to other contact type gesture recognition technologies and device based gesture technologies with the expensive hardware system.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.09a
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• pp.110-113
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• 2003

Most traffic accidents are caused by drivers' carelessness and lack of information on the surrounding objects. In this paper we proposed a model of human intention recognition through case-base learning and to build up an experiment system. The system can help us recognize object's intention (e.g. turn left, turn right or straight) by using detected data about human's motion, speed of the car and the distance between the car and the intersection. Furthermore, we included an example using case-base learning in this paper to improve the precision of recognition as well as an example to explain the use of the system. PC can be used to predict the driving reaction beforehand and send a warning signal to the driver in time if there is any danger.

• Proceedings of the IEEK Conference
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• 2007.07a
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• pp.451-452
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• 2007

It is need to find a new feature for the more statable recognition system. Now, we need more features like a human eyes. Therefore, this paper proposed a new feature with the stereo camera. In this paper, the each different features from the left and right input image will be extracted by stereo vision system, and will be good for the 3-D recognition.

• Korean Journal of Human Ecology
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• v.19 no.4
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• pp.601-612
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• 2010

It is widely known that language functions in our brains are lateralized to the left hemisphere and spatial recognition functions are lateralized to the right hemisphere. It is also known that handedness is closely related to the lateralization of brain functions. However, at what point in the brain‘s development the lateralization of brain functions takesplace is still disputed. This study sought to find differences in linguistic and spatial abilities between left-handed and right-handed children, and provide objective data on the relationship between the handedness and the brain lateralization. 19 left-handed children and 20 right-handed children aged 5 were chosen through questionnaire for this study and the K-WPPSI simple intelligence test was used to check the homogeneity of two groups. The results showed that the differences inlinguistic and spatial ability between left and right-handed children were not statistically significant.

• Journal of Korea Multimedia Society
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• v.24 no.5
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• pp.701-708
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• 2021

As one of the most widely used technology in the world right now, Face recognition has already received widespread attention by all the researcher and institutes. It has been used in many fields such as safety protection, surveillance system, crime control and even in our ordinary life such as home security and so on. This technology with today's technology has advantages such as high connectivity and real time transformation. But we still need to improve its recognition rate, reaction time and also reduce impact of different environmental status to the whole system. So in this paper we proposed a face recognition system model with improved CNN which combining the characteristics of flat network and residual network, integrated learning, simplify network structure and enhance portability and also improve the recognition accuracy. We also used AR and ORL database to do the experiment and result shows higher recognition rate, efficiency and robustness for different image conditions.

• Proceedings of the KIEE Conference
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• 2000.07d
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• pp.2930-2932
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• 2000

In this paper. a robust gesture recognition system is designed and implemented to explore the communication methods between human and computer. Hand gestures in the proposed approach are used to communicate with a computer for actions of a high degree of freedom. The user does not need to wear any cumbersome devices like cyber-gloves. No assumption is made on whether the user is wearing any ornaments and whether the user is using the left or right hand gestures. Image segmentation based upon the skin-color and a shape analysis based upon the invariant moments are combined. The features are extracted and used for input vectors to a radial basis function networks(RBFN). Our "Puppy" robot is employed as a testbed. Preliminary results on a set of gestures show recognition rates of about 87% on the a real-time implementation.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2004.05b
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• pp.616-619
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• 2004

As interests Un virtual reality being increased, the importance of HCI(Human computer interaction) field using gesture is also increased. However, in the preceding gesture recognition, the requirement of high-cost peripheral equipments limits users right. In this paper we suggest that through using low cost of USB PC-camera users are allowed to have more flexibly and cost down so that it can be adopted much commonly.

• Journal of Sport and Applied Science
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• v.5 no.2
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• pp.31-38
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• 2021

Purpose: A new form of sports human rights platform is needed for policy-related officials, athletes, leaders, and parents to easily share information on sports human rights and to promote communication between the sports community and the outside. Research design, data, and methodology: Participants were collected from athletes (n=3,007) who were registered in Korean Sport & Olympic Committee. Participants were asked to respond the survey items measuring their experiences of human right violations in sport. Descriptive analysis, t-test, and ANOVA were used to analyze data. Results: The platform should include information on prevention and safety of human rights violations during sports activities, procedures and methods for reporting damage, countermeasures, leader education programs, human rights protection guidelines, roles and supervision of sports organizations and institutions, and related statues. It can form a community as well as exchange information in the Internet space through the operation of bulletin boards by professional athletes, student athletes, parents, and leaders, and plays a role in crisis counseling or information provision. Given the reality that players can be blocked from the outside world, information communication channels on SNS can be a useful means of protecting and improving players' human rights. Conclusions: Therefore, it is necessary to provide a foundation for creating related platforms so that sports human rights sites or SNS can be operated voluntarily. Implications and future directions were discussed.

• Korean Journal of Human Ecology
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• v.15 no.2
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• pp.187-196
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• 2006

This study aims to 1) develop the Secondhand Smoke prevention program using project approach program for young children aged 4 to 5 years, 2) estimate the influence of project approach program on the prevention of their secondhand smoke, and 3) suggest effective strategies to ultimately encourage a smoke-free environment for them. The participants of an experimental group included a total of 64 preschoolers (42 boys and 22 girls) from one child-care center in Gyeonggi province. The sample of a controlled group was 49 preschoolers (30 boys and 19 girls) from one child-care center in Daegu province. Before and after experiencing project approach program on the prevention of secondhand smoke, each of them was asked to respond to such questions as recognition, attitude, and coping behavior of secondhand smoke. It has revealed that, after the program, those in the experimental group showed greater degree of recognition, more negative attitude, and more active coping behavior of secondhand smoke than those in the controlled group.