• Journal of the Korea Society of Computer and Information
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• v.11 no.6 s.44
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• pp.279-287
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• 2006

This paper proposes a method to detect fall action by using stereo images to recognize emergency situation. It uses 3D information to extract the visual information for learning and testing. It uses HMM(Hidden Markov Model) as a recognition algorithm. The proposed system extracts background images from two camera images. It extracts a moving object from input video sequence by using the difference between input image and background image. After that, it finds the bounding rectangle of the moving object and extracts 3D information by using calibration data of the two cameras. We experimented to the recognition rate of fall action with the variation of rectangle width and height and that of 3D location of the rectangle center point. Experimental results show that the variation of 3D location of the center point achieves the higher recognition rate than the variation of width and height.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.41 no.6
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• pp.279-283
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• 2004

In general, triangular shape filters are used in the filter bank when we extract MFCC feature parameters from the spectrum of the speech signal. A different approach, which uses specific filter shapes in the filter bank that are optimized to the spectrum of training speech data, is proposed by Lee et al. to improve the recognition rate. A principal component analysis method is used to get the optimized filter coefficients. Using a large amount of 4-digit telephone speech database, in this paper, we get the MFCCs based on the PCA-optimized filter bank and compare the recognition performance with conventional MFCCs and direct weighted filter bank based MFCCs. Experimental results have shown that the MFCC based on the PCA-optimized filter bank give slight improvement in recognition rate compared to the conventional MFCCs but fail to achieve better performance than the MFCCs based on the direct weighted filter bank analysis. Experimental results are discussed with our findings.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.22 no.10
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• pp.2317-2328
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• 1997

The objective of this paper is to develop an algorithm for a real-time automatic fingerprint recognition system. The algorithm employs the wavelet transform(WT) and the dominat local orientation that derived from the gradient Gaussian(GoG) and coherence in determining the directions of ridges in fingerprint images. By using the WT, the algorithm does not require conventional preprocessing procedures such as smothing, binarization, thining and restoration. For recognition, two fingerprint images are compared in three different ST domains;one that represents the original image compressed to quarter(LL), another that shows vertical directional characteristic(LH), and third as the block that contains horizontal direction(HL) in WT domain. Each block has dominat local orientation that derived from the GoG and coherence. The proposed algorithm is imprlemented on a SunSparc-2 workstation under X-window environment. Our simulation results, in real-time have shown that while the rate of Type II error-Incorrect recognition of two identical fingerprints as the identical fingerprints-is held at 0%, the rate of Type I error-Incorrect recognitionof two identical fingerprints as the different ones-is 2.5%.

• Journal of IKEEE
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• v.2 no.1 s.2
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• pp.150-159
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• 1998

This paper described the recognition of the Off-line handwritten Hangul based on neural network using a feature extraction method. Features of Hangul can be extracted by a $5{\times}5$ window method which is the modified $3{\times}3$ mask method. These features are coded to binary patterns in order to use neural network's inputs efficiently. Hangul character is recognized by the consonant, the vertical vowel, and the horizontal vowel, separately. In order to verify the recognition rate, three different coding methods were used for neural networks. Three methods were the fixed-code method, the learned-code I method, and the learned-code II method. The result was shown that the learned-code II method was the best among three methods. The result of the learned-code II method was shown 100% recognition rate for the vertical vowel, 100% for the horizontal vowel, and 98.33% for the learned consonants and 93.75% for the new consonants.

• Journal of the Institute of Electronics Engineers of Korea TE
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• v.37 no.5
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• pp.62-70
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• 2000

In this study, speech recognition for Korean digit is performed using filter bank which is programmed discrete HMM and DTW. Spectral analysis reveals speech signal features which are mainly due to the shape of the vocal tract. And spectral feature of speech are generally obtained as the exit of filter banks, which properly integrated a spectrum at defined frequency ranges. A set of 8 band pass filters is generally used since it simulates human ear processing. And defined frequency ranges are 320-330, 450-460, 640-650, 840-850, 900-1000, 1100-1200, 2000-2100, 3900-4000Hz and then sampled at 8kHz of sampling rate. Frame width is 20ms and period is 10ms. Accordingly, we found that the recognition rate of DTW is better than HMM for Korean digit speech in the experimental result. Recognition accuracy of Korean digit speech using filter bank is 93.3% for the 24th BPF, 89.1% for the 16th BPF and 88.9% for the 8th BPF of hardware realization of voice dialing system.

• The Journal of Korean Obstetrics and Gynecology
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• v.23 no.2
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• pp.131-144
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• 2010

Purpose: There has not been decisional consensus in the concepts and the ways of postpartum cares between Western and non-Western cultures though the importance of postpartum period has been emphasized by the multitude of health professionals. In this study, we investigated the differences in recognition concerning postpartum care among Koreans, Korean residents in America, and Americans (hereafter, K, KA, A). Methods: We used questionnaire of women who had given birth from last 6 weeks to less than 13 years. The women consisted of three groups;104 K, 44 KA, and 44 A. Results: In the perception survey concerning postpartum care, every three group thought that postpartum care was important. However, there were differences in understanding how it would affect women's health, and what they did in the period. K significantly agreed with the content and the importance of postpartum care. The investigation concerning seven categories of postpartum care showed that K group performed the 6 categories except consuming medication beneficial for the postpartum care. KA group performed in a low rate and A group performed two categories in a significantly low rate two categories; avoiding cold stimulation and keeping the body warm. Conclusion: Based on this study, it should be suggested that there were common points and differences among the recognition concerning postnatal care in three groups. Therefore, health professionals make efforts in understanding diversities on postnatal care and providing the adequate services reflecting each mother's needs and recognition.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.41 no.11
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• pp.1035-1045
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• 2017

Classification of age and gender has been carried out through different approaches such as facial-based and audio-based classifications. One of the limitations of facial-based methods is the reduced recognition rate over large distances, while another is the prerequisite of the faces to be located in front of the camera. Similarly, in audio-based methods, the recognition rate is reduced in a noisy environment. In contrast, gait-based methods are only required that a target person is in the camera. In previous works, the view point of a camera is only available as a side view and gait data sets consist of a standard gait, which is different from an ordinary gait in a real environment. We propose a feature extraction method using skeleton models from an RGB-D sensor by considering characteristics of age and gender using ordinary gait. Experimental results show that the proposed method could efficiently classify age and gender within a target group of individuals in real-life environments.

• Journal of Korean society of Dental Hygiene
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• v.14 no.6
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• pp.871-879
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• 2014

Objectives: The purpose of the study was to investigate the appropriate management and implementation of the oral malodor prevention for the general people. Methods: A self-reported questionnaire was filled out by 420 subjects in Seoul and Gyeonggi Province from March to October, 2013. Except 19 copies, 401 copies were analyzed. The instrument of subjective oral malodor awareness and status was adapted from Yoon and Youn and partly modified. The questionnaire consisted of general characteristics(4 questions), oral malodor awareness(3 questions), oral malodor related characteristics(3 questions), self-diagnostic test of oral malodor(5 questions), and subjective oral malodor and health status(3 questions). Self-diagnostic test of oral malodor was score as yes(1 point) and no(0 point). The subjective oral malodor and health status scoring was done by Likert 5 scale. Cronbach alpha was 0.713 in the self-diagnostic test of oral malodor. Results: The self-recognition rate of oral malodor was 0.8%. When the level of oral malodor increased to 1 point, the self-test of oral malodor increased as the rate of 0.033(p<0.05). Conclusions: There existed no close correlation between subjective recognition of oral malodor and oral malodor self-test. Therefore, oral malodor should be measured by an expert counseling to make an accurate diagnosis. It is important to establish the appropriate oral malodor prevention program for the general people.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.12B
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• pp.1574-1585
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• 2011

This paper proposes a real-time algorithm for speed limit sign recognition for advanced safety vehicle system. The proposed algorithm uses Block-DCT in extracting features from a given ROI(Region Of Interest) instead of using entire pixel values as in previous works. The proposed algorithm chooses parts of the DCT coefficients according to the proposed discriminant factor, uses correlation coefficients and variances among ROIs from training samples to reduce amount of arithmetic operations without performance degradation in classification process. The algorithm recognizes the speed limit signs using the information obtained during training process by calculating LDA and Mahalanobis Distance. To increase the hit rate of recognition, it uses accumulated classification results computed for a sequence of frames. Experimental results show that the hit rate of recognition for sequential frames reaches up to 100 %. When compared with previous works, numbers of multiply and add operations are reduced by 69.3 % and 67.9 %, respectively. Start after striking space key 2 times.

• Journal of Technologic Dentistry
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• v.38 no.3
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• pp.209-216
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• 2016

Purpose: The purpose of this study is to discover the recognition of dental technicians on MSDS and to research the furnishing rate of Material Safety Data Sheet (MSDS) in dental laboratories. Method: 104 dental technicians who were self-written questionnaire. The results were analyzed by SPSS 12.0. The answers to the questionnaire underwent frequency analysis, chi-square test were performed. Results: The result of cross analysis on the occurrence of occupational diseases according to whether MSDS is furnished showed that the group with MSDS furnished had 37.8% of damages due to their occupation, but the group with MSDS unfurnished had 65.7% of damages due to their occupation, which displayed a significant difference(p<0.05). The result of cross analysis on whether the education about chemicals according to whether MSDS is furnished showed there were relatively more responses of no education on the types and characteristics of chemicals, the effect on human body and its risk, emergency measure when exposed to risk, the treating and storing methods and the disposal methods. In addition, there were significant differences on whether all the above education was done between the group with MSDS furnished and the group without MSDS(p<0.000). Conclusion: In order to secure safe working environment of dental technicians and to reduce occurrence of damage caused by chemicals, the related education is necessary. The recognition of dental technicians on MSDS and furnishing rate is increasing but still insufficient, so the related organizations need to establish education and PR measures for prevention of damage.