• Journal of Families and Better Life
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• v.25 no.4
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• pp.181-196
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• 2007

The present study was to investigate child care teather's and parents's recognition and need about child counseling and to analyse differences between them. The subjects for this study were 244 child care teachers and 260 mothers of the day care centers. The major finding were as follows; Most child care teachers are aware of child counseling through lecture, pre-service education, and internet. Most mothers hear about child counseling through internet. They think that child counseling is very effective for young children, especially for negative experience and emotion. Most child care teachers think that they can administer child counseling. especially daycare centers. But mothers think that special facilities is the most appropriate place by child counseling. Child care teachers and mothers regard the credibility of human being as personal characteristics required for child counseling. Counseling specialists are to be the most appropriate person for followed by child care teather's and parents. And they think that special training is needed for child counseling. but few of them receive special training. They perceive the necessity of professional education in child counseling. but they rarely experience related education of child counseling. Especially, they feel lack of time and information. They also want to apply to child counseling children education after learning it through counseling association or by observing real situations in child counseling center using morning time or during weekends. Most mothers and child care teachers know play therapy, art therapy. bibliotherapy, sand play therapy.

• Health Policy and Management
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• v.21 no.1
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• pp.61-76
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• 2011

Limited research has investigated the satisfaction of patients with cancer. This study was performed to explore patients' satisfaction and the related factors. The data were collected by telephone survey for the participants who were beneficiaries on the national financial aid program for cancer patients between January and October in 2009. Student's t-tests and analysis of variance were performed first to determine if the mean satisfaction score differed by the characteristics of study objects, followed by stepwise multiple regression analyses to examine the factors affecting satisfaction. When comparing the relating factors with patients' satisfaction according to the sociodemographic characteristics, the male, old-aged, higher educated, lower cancer stage, lung cancer group showed a significantly higher level of recognition for satisfaction. A public health center, better public relations, recognized more helpful, don't have expectation, put a person to expense, and don't feel pressured for medical cost groups were showed a higher level of recognition for satisfaction. The result of the multiple regression analysis, short waiting time, well known program policy, recognized helping of policy and had the financial burden had significantly influence on the satisfaction of patients with cancer.

• Journal of Digital Contents Society
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• v.16 no.1
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• pp.157-164
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• 2015

The existing input device is limited to keyboard and mouse. However, recently new type of input device has been developed in response to requests from users. To reflect this trend we propose the new type of input device that gives instruction as analyzing the hand motion of image without special device. After binarizing the skin color area using Cam-Shift method and tracking, it recognizes the hand motion by inputting the finger areas and the angles from the palm center point, which are separated through labeling, into four cardinal directions and counting them. In cases when specific background was not set and without gloves, the recognition rate remained approximately at 75 percent. However, when specific background was set and the person wore red gloves, the recognition rate increased to 90.2 percent due to reduction in noise.

• The Journal of the Korea Contents Association
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• v.13 no.4
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• pp.452-458
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• 2013

In this paper, we propose the method for automatically transfers images into tactile maps information based on cognition characteristics of visually impaired persons to more easily provide various image information for visually impaired persons. The proposed method automatically classify color images into row complexity and high complexity based on intensity information and transfer images into tactile map information using each different transformation process. Experimental evaluation, We performed with visually impaired five persons experiments for evaluating the recognition and satisfaction that tactile maps of the proposed automatic transforming method and the manually generated tactile maps of braille textbooks. Experimental results, the recognition and satisfaction that the tactile maps of the proposed method generated are very similar to those of the tactile maps of braille textbooks. Therefore, it could hugely be reduced the time and money of production education materials, and it could greatly improved educative results because it can add more easily that many image data of education materials.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.1
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• pp.42-48
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• 2011

This paper presents the vibration reduction algorithm at the walking-will recognition sensors on the uneven terrain. Recently, concern about walking assistant aids is increasing according to the increase in population of elder and handicapped person. However, most of walking aids don't have any actuators for its movement. So, general walking aids have weakness for its movement to upward/download direction of slope. To overcome the weakness of the general walking aids, many researches for active type walking aids are being progressed. Especially, vibration analysis and impulse reduction are one of the important elements of the active-type walking aid during moving on the outdoor area because the ground has many kinds of obstacles such as speed dumps, puddles and so on. So, we analyze the influence from vibration by uneven terrain. And then, we propose the impulse reduction algorithm to overcome the vibration. All the processes are verified experimentally in an active-type walking aid.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.24 no.4
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• pp.607-616
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• 2014

Face recognition is a big challenge in surveillance system since different rotation angles of the face make the difficulty to recognize the face of the same person. This paper proposes a novel method to recognize face with different head poses by using 3D information of the face. Firstly, head pose estimation (estimation of different head pose angles) is accomplished by the POSIT algorithm. Then, 3D face image data is constructed by using head pose estimation. After that, 2D image and the constructed 3D face matching is performed. Face verification is accomplished by using commercial face recognition SDK. Performance evaluation of the proposed method indicates that the error range of head pose estimation is below 10 degree and the matching rate is about 95%.

• Journal of the Ergonomics Society of Korea
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• v.30 no.1
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• pp.229-235
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• 2011

Objective: Making a new ergonomic interface system based on camera vision system, which helps the handicapped in home environment. Background: Enabling the handicapped to manipulate the consumer electronics by the proposed interface system. Method: A wearable device for capturing the eye image using a near-infrared(NIR) camera and illuminators is proposed for tracking eye gaze position(Heo et al., 2011). A frontal viewing camera is attached to the wearable device, which can recognize the consumer electronics to be controlled(Heo et al., 2011). And the amount of user's eye fatigue can be measured based on eye blink rate, and in case that the user's fatigue exceeds in the predetermined level, the proposed system can automatically change the mode of gaze based interface into that of manual selection. Results: The experimental results showed that the gaze estimation error of the proposed method was 1.98 degrees with the successful recognition of the object by the frontal viewing camera(Heo et al., 2011). Conclusion: We made a new ergonomic interface system based on gaze tracking and object recognition Application: The proposed system can be used for helping the handicapped in home environment.

• Journal of Convergence for Information Technology
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• v.7 no.2
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• pp.31-36
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• 2017

In this paper, we try to search and reproduce the image part of a specific cast from a large number of images. The conventional method must manually set the offset value when searching for a scene or viewing a corner. However, in this paper, the proposed method learns the main character 's face, then finds the main character in the image recognition and moves to the scene where the main character appears to reproduce the image. Data for specific performers is extracted and collected using crawl techniques. Based on the collected data, we learn using convolutional neural network algorithm and perform performance evaluation using it. The performance evaluation measures the accuracy by extracting and judging a specific performer learned in the extracted key frame while playing the drama. The performance confirmation of how quickly and accurately the learned scene is searched has obtained about 93% accuracy. Based on the derived performance, it is applied to the image service such as viewing, searching for person and detailed information retrieval per corner

• Journal of Science Education
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• v.45 no.2
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• pp.201-218
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• 2021

The purpose of this study is to investigate qualitatively two cases of general citizens' scientific participation and activities responding to fine dust problem. The processes of their scientific actions were investigated and categorized inductively based on three stages: problem recognition stage, information collection and analysis stage, and sharing and spreading stage. As a result, in the 'problem recognition' stage, two participants recognized the seriousness of the fine dust problem as they felt a threat to their health and began to act practically by questioning the accuracy of public data. In the 'information collection and analysis' stage, a participant collected as much information as possible and compared them in order to obtain more accurate information for her situation. On the other hand, another participant conducted various experiments in person to get the information which is appropriate to his situation. Finally, in the 'Sharing and Spreading' stage, both participants created and shared various materials based on online environment, and continued their activities with a sense of contribution through others assistance. Educational implications are discussed in terms of civic science education and scientific literacy.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.5
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• pp.251-256
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• 2021

Unlike general cameras, a high-speed camera capable of capturing a large number of frames per second can enable the advancement of some image processing technologies that have been limited so far. This paper proposes a method of removing undesirable noise from an high-speed input color image, and then detecting a human face from the noise-free image. In this paper, noise pixels included in the ultrafast input image are first removed by applying a bidirectional filter. Then, using RetinaFace, a region representing the person's personal information is robustly detected from the image where noise was removed. The experimental results show that the described algorithm removes noise from the input image and then robustly detects a human face using the generated model. The model-based face-detection method presented in this paper is expected to be used as basic technology for many practical application fields related to image processing and pattern recognition, such as indoor and outdoor building monitoring, door opening and closing management, and mobile biometric authentication.