• The KIPS Transactions:PartB
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• v.16B no.5
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• pp.395-402
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• 2009

This paper proposes an approach of a novel facial expression recognition to deal with different intensities to improve a performance of a facial expression recognition. Various expressions and intensities of each person make an affect to decrease the performance of the facial expression recognition. The effect of different intensities of facial expression has been seldom focused on. In this paper, a face expression template and an expression-intensity distribution model are introduced to recognize different facial expression intensities. These techniques, facial expression template and expression-intensity distribution model contribute to improve the performance of facial expression recognition by describing how the shift between multiple interest points in the vicinity of facial parts and facial parts varies for different facial expressions and its intensities. The proposed method has the distinct advantage that facial expression recognition with different intensities can be very easily performed with a simple calibration on video sequences as well as still images. Experimental results show a robustness that the method can recognize facial expression with weak intensities.

• Journal of Korea Game Society
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• v.15 no.2
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• pp.105-114
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• 2015

We propose a real time user interface that utilizes emotion recognition by physiological signals. To improve the problem that was low accuracy of emotion recognition through the traditional EEG(ElectroEncephaloGram), We developed a physiological signals-based emotion recognition system mixing relative power spectrum values of theta/alpha/beta/gamma EEG waves and autonomic nerve signal ratio of ECG (ElectroCardioGram). We propose both a data map and weight value modification algorithm to recognize six emotions of happy, fear, sad, joy, anger, and hatred. The datamap that stores the user-specific probability value is created and the algorithm updates the weighting to improve the accuracy of emotion recognition corresponding to each EEG channel. Also, as we compared the results of the EEG/ECG bio-singal complex data and single data consisting of EEG, the accuracy went up 23.77%. The proposed interface system with high accuracy will be utillized as a useful interface for controlling the game spaces and smart spaces.

• The Journal of the Acoustical Society of Korea
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• v.14 no.5
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• pp.44-50
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• 1995

This paper describes a large-vocabulary continuous speech recognition system using continuous hidden Markov models for the Korean language. To improve the performance of the system, we study on the selection of speech modeling units, inter-word modeling, search algorithm, and grammars. We used triphones as basic speech modeling units, generalized triphones and function word-dependent phones are used to improve the trainability of speech units and to reduce errors in function words. Silence between words is optionally inserted by using a silence model and a null transition. Word pair grammar and bigram model based oil word classes are used. Also we implement a search algorithm to find N-best candidate sentences. A postprocessor reorders the N-best sentences using word triple grammar, selects the most likely sentence as the final recognition result, and finally corrects trivial errors related with postpositions. In recognition tests using a 3,000-word continuous speech database, the system attained $93.1\%$ word recognition accuracy and $73.8\%$ sentence recognition accuracy using word triple grammar in postprocessing.

• Journal of Korean society of Dental Hygiene
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• v.10 no.5
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• pp.925-933
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• 2010

Objectives : This study aimed to research subjective recognition of oral health, oral disease prevention, and knowledge of oral health among high school students to provide basic data necessary to develop an oral health education program for helping them prevent oral diseases and improve oral health in the future. Methods : Respondents' general characteristics and knowledge of oral health were estimated at frequency and percentage, and chi-square $(x^2)$ test was carried out to make a comparison for subjective recognition of oral health and oral disease prevention by general characteristics. ANOVA was used to get scores concerning knowledge of oral health care by general characteristics, and Pearson correlation was used to analyze correlation between recognition of oral health, oral disease prevention, and knowledge of oral health. Results : The findings of the study were as follows: 1. The percentage of those who had visited a dental clinic (hospital) within the previous one year (p<0.01) and had a regular oral examination (p<0.05) was higher in female students than in male ones, and percentage of those who had experienced oral health education (p<0.01) and who had regular oral examination (p<0.001) was highest in 11th graders. The percentage of those who used oral health products (p<0.01) and had pit and fissure sealing (p<0.01) was significantly higher among low-grade students, and the percentage of those who had scaling (p<0.01) was significantly higher among high-grade students. 2. Knowledge of oral health management was higher in female students (12.6) than in male ones (11.2) (p<0.001). Conclusions : A systematic oral health education program is necessary to help high school students improve recognition, prevention, and knowledge concerning oral health care, and continuous attention and efforts must be given to activate continuous oral health care implemented at the elementary level by inducing secondary school students to go on with it.

• Journal of Digital Convergence
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• v.11 no.11
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• pp.367-372
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• 2013

In general, Levenshtein distance algorithm have a problem with not distinguish the consideration of vacabulary retrieve, because Levenshtein methode is used to vocabulary order are not defined. In this paper, we propose a improved Levenshtein methode, it effectively manage the vocabulary retrieve by frequency use of a vocabulary, and it gives the weight number which have a order between vocabularies. Therefore proposed methode have a advantage of solve the defect of perception rate in the case of increase the vocabulary, improve the recognition time become higher and it can be effectively retrieval space management.. System performance as a result of represent vocabulary dependence recognition rate of 97.81%, vocabulary independence recognition rate of 96.91% in indoor environment. Also, vocabulary dependence recognition rate of 91.11%, vocabulary independence recognition rate of 90.01% in outdoor environment.

• Smart Media Journal
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• v.8 no.3
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• pp.62-69
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• 2019

Electrocardiogram (ECG) signals cannot be counterfeited and can easily acquire signals from both wrists. In this paper, we propose a method of generating a coupling image using direction information of ECG signals as well as its usage in a personal recognition method. The proposed coupling image is generated by using forward ECG signal and rotated inverse ECG signal based on R-peak, and the generated coupling image shows a unique pattern and brightness. In addition, R-peak data is increased through the ECG signal calculation of the same beat, and it is thus possible to improve the recognition performance of the individual. The generated coupling image extracts characteristics of pattern and brightness by using the proposed convolutional neural network and reduces data size by using multiple pooling layers to improve network speed. The experiment uses public ECG data of 47 people and conducts comparative experiments using five networks with top 5 performance data among the public and the proposed networks. Experimental results show that the recognition performance of the proposed network is the highest with 99.28%, confirming potential of the personal recognition.

• Proceedings of the KIEE Conference
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• 2004.11c
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• pp.107-109
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• 2004

In this paper, authors propose the sensor fusion system that can recognize multiple 3D objects from 2D projection images and tactile information. The proposed system focuses on improving recognition performance of 3D object. Unlike the conventional object recognition system that uses image sensor alone, the proposed method uses tactual sensors in addition to visual sensor. Neural network is used to fuse these informations. Tactual signals are obtained from the reaction force by the pressure sensors at the fingertips when unknown objects are grasped by four-fingered robot hand. The experiment evaluates the recognition rate and the number of teaming iterations of various objects. The merits of the proposed systems are not only the high performance of the learning ability but also the reliability of the system with tactual information for recognizing various objects even though visual information has a defect. The experimental results show that the proposed system can improve recognition rate and reduce learning time. These results verify the effectiveness of the proposed sensor fusion system as recognition scheme of 3D object.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.17 no.3
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• pp.197-205
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• 1992

In this paper object recognition using neural network is studied. The recognition is accomplished by matching linear line segments which are formed by local features extracted from the curvature points. Since there is similarities among segments. The boundary of models is not distinct in feature space. Due to these indistinctness the ambiguity of recognition occurs, and the recognition rate becomes degraded according to the limitation of boundary decision capability of neural network for similar of features. Object recognition and to improve recognition rate. Local features are used to represent the object effectively. The validity of the object recognition system is demonstrated by experiments for the occluded and varied objects.

• The Journal of Korean Academic Society of Nursing Education
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• v.13 no.2
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• pp.220-228
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• 2007

Purpose: The purpose of this study was to investigate recognition and attitudes about social service activity(SSA) of nurses. Method: This was a descriptive study. The data was collected from July 15 to 31, 2002 by using a self-report questionnaire consisting of general characteristics(15items), recognition(24items) and attitude(23items) about SSA. The questionnaire was sent to 711 nurses of 38 hospitals in the Gyounggi province area, and 664 questionnaires were returned. The answer rate was 93.4%. The data was analyzed by the SPSS 12.0 Win program. Result: Seventy-one percent of nurses had a SSA experience during university, but only 14.2% nurses participate in SSA now. The mean score of recognition of SSA was 3.58($\pm$0.45), and that of attitude was 3.70($\pm$0.42). The relationship between recognition and attitude had a positive correlation(r=.398, p=.000), the higher the score of recognition, the higher the score of attitude. Conclusion: From these results, to improve nurses' participation in SSA, research to investigate the barrier factors of SSA participation in spite of the high level of recognition and attitude is needed. Programs for nurses to participate in SSA and systemic management should be set up.

• Journal of Korean society of Dental Hygiene
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• v.15 no.4
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• pp.593-602
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• 2015

Objectives: The purpose of the study is to investigate the relations between oral health status and subjective oral health recognition in Korean adolescents. Methods: The survey data were extracted from the 2012 Korea National Oral Health Survey from June to November, 2012. The survey consisted of oral checkup data and the oral health interviewing data of 9,981 adolescents(5,335 male, 4,646 female) by proportional distribution. The questionnaire included general objective oral health status and subjective oral health recognition. The subjective oral health recognition consisted of general characteristics of the subjects, oral health status, oral health behavior, and subjective oral health recognition. Results: According to multiple regression analysis for the relations between general characteristics and subjective oral health recognition, subjective health recognition, the influencing factors were gender, age, the number of tooth brushing per day, intake of snacks and carbonated drinks, regular oral examination, decayed teeth (DT), missing teeth (MT,) and DMFT. Conclusions: The routine oral checkup is the most important method to improve the oral health management in the adolescents. The continuing oral health improvement project must be implemented based on the law and will keep the adolescents in good oral health status.