• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.11
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• pp.2095-2102
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• 2017

In this paper, we implemented the elderly home training contents provide individual exercise prescription according to the user's athletic ability and provide personalized program to the elderly individual. Health promotion is essential for overcoming the low health longevity of senior citizens preparing for aging population. Therefore, the lower body strengthening exercise to prevent falls is crucial to prevent a fall in the number of deaths of senior citizens. In this game model, the elderly are aiming at home training contents that can be found to feel that the elderly are going out of walk and exercising in the natural environment. To achieve this, Kinect extracts a specific bone model provide by the Kinect Sensor to generate the feature vectors and recognizes the movements and motion of the user. The recognition test using the Kinect sensor showed a recognition rate of about 80 to 97%.

• Journal of Korean Society of Transportation
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• v.23 no.5 s.83
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• pp.135-146
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• 2005

Up to now studies on the fusion of travel time from various detectors have been conducted based on the variance raito of the intermittent data mainly collected by GPS or probe vehicles. The fusion model based on the variance ratio of intermittent data is not suitable for the license plate recognition AVIs which can deal with vast amount of data. This study was carried out to develop the fusion model based on travel time acquired from the license plate recognition AVIs and the point detectors. In order to fuse travel time acquired from the point detectors and the license plate recognition AVIs, the optimized fusion model and the proportional fusion model were developed in this study. As a result of verification, the optimized fusion model showed the superior estimation performance. The optimized fusion model is the dynamic fusion ratio estimation model on real time base, which calculates fusion weights based on real time historic data and applies them to the current time period. The results of this study are expected to be used effectively for National Highway Traffic Management System to provide traffic information in the future. However, there should be further studies on the Proper distance for the establishment of the AVIs and the license plate matching rate according to the lanes for AVIs to be established.

• Journal of Digital Convergence
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• v.12 no.6
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• pp.385-396
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• 2014

The purpose of this study was to examine the recognition of citizens in Busan on the doctor-designation system, the awareness of medical consumers with experience of using this system and their satisfaction in an effort to seek ways of improving this system. The subjects in this study were the selected citizens in Busan who were at the age of 20 and up. As a result, it's found that the largest group of the respondents was female, in their 20s, received college or higher education, students and in the service industry, and that the most common monthly mean income was between two and 2.99 million won. 27.7 percent were aware of the doctor-designation system, and 23.7 percent became cognizant of the system through others who had used it. The rate of knowing the rules of the doctor-designation system (the right answer) stood at 66.3 percent. They got to know about the system through mass media(31.9%), and used it since it offered highly specialized treatment(57.5%). The respondents who had used it intended to reuse it(76.3%), and the reason was that they were provided with high-class medical services (35.2%). The respondents who had used this system got a mean of 2.96 in satisfaction level, which was not high in general. They mentioned more publicity efforts(91.2%), offering information in a conspicuous place (96.7%) and cutting doctor-designation treatment fee as a means of improving this system. As for how to ensure the operating efficiency of the system, sustained publicity seem to be necessary to raise awareness of the system among patients, and it's required to take measures to relieve patients of financial burden caused by medical bills.

• Journal of the Korea Convergence Society
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• v.11 no.7
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• pp.207-216
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• 2020

The purpose of this study is to analyze the factors contributing to the wage inequality between employment of persons with disabilities. Among the raw data provided by the Korea Employment Development institute for persons with disabilities, 3,546 cases were studied, excluding cases in which major variables were missing, in the 『2018 survey on the employment status of the disabled in business』. Data analysis was conducted using SPSS 25 and STATA 14 to analyze wage inequality among employment companies for persons with disabilities. Data analysis was conducted using SPSS 25 and STATA 14 to analyze wage inequality in employment companies for persons with disabilities. The study found that factors contributing to the wage inequality in employment companies for the disabled include 'minimum level of education'12.63%, 'asset level'6.37%, 'level of work required'4.87%, 'ratio of female employment'3.30%, 'sales profit'2.33%, 'education training for employees'1.19%, 'labor union membership rate'0.67%, 'work type'0.42%, 'average working hours'0.41%, 'recognition of work level of disabled people'0.34%, 'recognition that employment of disabled people is helpful to companies'0.23%, 'positive recognition of work cost of disabled people'0.17%. Based on these results, this study proposed access at the level of employment business for the disabled, social level, and worker level for the disabled.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.40 no.6
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• pp.20-30
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• 2003

In a conventional method based on quadrature 2D Gator wavelets to extract iris features, the iris recognition is performed by a 256-byte iris code, which is computed by applying the Gabor wavelets to a given area of the iris. However, there is a code redundancy because the iris code is generated by basis functions without considering the characteristics of the iris texture. Therefore, the size of the iris code is increased unnecessarily. In this paper, we propose a new feature extraction algorithm based on the ICA (Independent Component Analysis) for a compact iris code. We implemented the ICA to generate optimal basis functions which could represent iris signals efficiently. In practice the coefficients of the ICA expansions are used as feature vectors. Then iris feature vectors are encoded into the iris code for storing and comparing an individual's iris patterns. Additionally, we introduce two methods to enhance the recognition performance of the ICA. The first is to reorganize the ICA bases and the second is to use a different ICA bases set. Experimental results show that our proposed method has a similar EER (Equal Error Rate) as a conventional method based on the Gator wavelets, and the iris code size of our proposed methods is four times smaller than that of the Gabor wavelets.

• Journal of Korean society of Dental Hygiene
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• v.9 no.4
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• pp.849-863
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• 2009

Objectives : This study was to study dental hygiene department students' management of infection and their attitude toward infection. Methods : This study was conducted from August 24, 2009 to September 20, 2009. 269 sophomore and junior college students enrolled in the department of dental hygiene from schools located in Gyeonggi-do and Gangwon-do participated in the study. A self-administered questionnaire survey was conducted. Results : 1. As for dental hygiene department students' recognition of the causes of infectious diseases, 80.7% of the respondents said hepatitis B was the infectious disease highly likely to occur in laboratories. 35.3% was correct about the antecedent variables of infection in the workshop, 24.9% about the oral symptoms of HIV and 18.6% about the diseases induced by HBV. The recognition rates were generally low. 2. About whether the respondents ask patients questions about infectious diseases, 80.7% of them answered Yes, but only 56.2% of them said they do so every time, and 17.8% of them said they never do so. 3. As far as washing hands to prevent infectious diseases is concerned, 97.4% of the respondents said hand washing helps prevent infection. 72.5% of them said they wash their hands every time before they practice on a patient, while 84.0% of them said they washed their hands after the lab practice. 90.7% said they use liquid soap containing anti-microbial agents, and 81.8% of them said they use paper towels. 4. With regard to protective gear for prevention of infectious diseases, 98.9% of the respondents said it is desirable to use disposable protective gear for each patient. When it comes to what they actually used as protective gear, 91.1% said aprons, 89.2% gloves, and 87.7% masks. However, a low percentage of the respondents actually use goggles and replace masks when they got damp, 11.2% and 24.2% respectively. Conclusions : As for treating the surface of equipments to prevent infectious diseases, most of the respondents exhibited a high recognition rate. Relative fewer respondents actually treat the surface of equipments than those respondents who are aware of the need to do so. A high percentage of the respondents also said they use alcohol sponge to treat the surface of each equipment in order to prevent infectious diseases.

• Journal of the Korean Association of Geographic Information Studies
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• v.3 no.1
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• pp.69-77
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• 2000

In retrieving and analyzing digital map information using mouse or key strokes, it needs several times of repeated mouse operation for designating the range of study area. In this study, we proposed a voice activated map information retrieval system for eliminating such repetitions and we realized the system on the personal computer. The system was constructed in two ways - traditional OLE(object linking embedding) method and MFC(Microsoft fundamental class) method in controlling of window display for practical use. In the system performance evaluation, the retrieval data for digital map were consisted of 68 words uttered by 3 male persons which include attribute words and control words for Susung-gu area of Taegu city in a 1:5,000 map. As the results, we obtained the average 98.02% of recognition rate through on-line tests in the office environment and the operating speed of 5.39 seconds by OLE, 10.38 seconds by MFC. These results showed the possibility for practical use of information retrieval system using speech recognition in digital map.

• Journal of Internet Computing and Services
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• v.17 no.2
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• pp.29-37
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• 2016

Humans develop and maintain relationship through communication. Communication is largely divided into verbal communication and non-verbal communication. Verbal communication involves the use of a language or characters, while non-verbal communication utilizes body language. We use gestures with language together in conversations of everyday life. Gestures belong to non-verbal communication, and can be offered using a variety of shapes and movements to deliver an opinion. For this reason, gestures are spotlighted as a means of implementing an NUI/NUX in the fields of HCI and HRI. In this paper, using Kinect and the geometric features of the hand, we propose a method for recognizing the number of fingers and detecting the hand area. A Kinect depth image can be used to detect the hand region, with the finger number identified by comparing the distance of outline and the central point of a hand. Average recognition rate for recognizing the number of fingers is 98.5%, from the proposed method, The proposed method would help enhancing the functionality of the human computer interaction by increasing the expression range of gestures.

• Journal of KIISE:Software and Applications
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• v.34 no.3
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• pp.226-234
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• 2007

In this paper, we develop a speech recognition system using a throat microphone. The use of this kind of microphone minimizes the impact of environmental noise. However, because of the absence of high frequencies and the partially loss of formant frequencies, previous systems developed with those devices have shown a lower recognition rate than systems which use standard microphone signals. This problem has led to researchers using throat microphone signals as supplementary data sources supporting standard microphone signals. In this paper, we present a high performance ASR system which we developed using only a throat microphone by taking advantage of Korean Phonological Feature Theory and a detailed throat signal analysis. Analyzing the spectrum and the result of FFT of the throat microphone signal, we find that the conventional MFCC feature vector that uses a critical pass filter does not characterize the throat microphone signals well. We also describe the conditions of the feature extraction algorithm which make it best suited for throat microphone signal analysis. The conditions involve (1) a sensitive band-pass filter and (2) use of feature vector which is suitable for voice/non-voice classification. We experimentally show that the ZCPA algorithm designed to meet these conditions improves the recognizer's performance by approximately 16%. And we find that an additional noise-canceling algorithm such as RAST A results in 2% more performance improvement.

• Journal of Sasang Constitutional Medicine
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• v.19 no.2
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• pp.22-29
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• 2007

1. Objectives Sasang Contitutional Medicine, a part of the traditional Korean medical lore, treats illness through a constitutional typing system that categorizespeople into four constitutional types. A few of the important criteria for differentiating the constitutional types are external appearances, inner state of mind, and pathological patterns. We had been developing a 3D Automatic Face Recognition Apparatus (3D-AFRA) in order to evaluate the external appearances with more objectivity. This apparatus provides a 3D image and numerical data on facial configuration, and this study aims to evaluate the mechanical accuracy of the 3D-AFRA hardware. 2. Methods Several objects of different shapes (cube, cylinder, cone, pyramid) were each scanned 10 times using the 3D Automatic Face Recognition Apparatus (3D-AFRA). The results were then compared and analyzed with data retrieved through a laser scanner known for its high accuracy. The error rates were analyzed for each grid point of facial contour scanned with Rapidform2006 (Rapidform2006 is a 3D scanning software that collects grid point data for contours of various products and products and product parts through 3D scanners and other 3D measuring devices; the grid point data thusly acquired is then used to reconstruct highly precise polygon and curvature models). 3. Results and Conclusions The average error rate was 0.22mm for the cube, 0.22mm for the cylinder, 0.125mm for the cone, and 0.172mm for the pyramid. The visual data comparing error rates for measurement figures retrieved with Rapidform2006 is shown in $Fig.3{\sim}Fig.6$. Blue tendency indicates smaller error rates, while red indicates greater error rates The protruding corners of the cube display red, indicating greater error rates. The cylinder shows greater error rates on the edges. The pyramid displays greater error rates on the base surface and around the vertex. The cone also shows greater error around the protruding edge.