• The KIPS Transactions:PartB
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• v.15B no.5
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• pp.435-448
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• 2008

3D posture recognition is a solution to overcome the limitation of 2D posture recognition. There are many researches carried out for 3D posture recognition using 3D data. The 3D data consist of massive surface points which are rich of information. However, it is difficult to extract the important features for posture recognition purpose. Meanwhile, it also consumes lots of processing time. In this paper, we introduced a dimension reduction method that transform 3D surface points of an object to 2D data representation in order to overcome the issues of feature extraction and time complexity of 3D posture recognition. For a better feature extraction and matching process, a cylindrical boundary is introduced in meshless parameterization, its offer a fast processing speed of dimension reduction process and the output result is applicable for recognition purpose. The proposed approach is applied to hand and human posture recognition in order to verify the efficiency of the feature extraction.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.6 no.2
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• pp.113-118
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• 2013

This study will suggest methods for a license plate recognition system that is suitable for license plate identification, separation of letters, and recognition of letters in order to recognize a licence plate efficiently. The suggested algorithm had tested a recognition system that onlyused backpropagation, a recognition system that used only SVM, and the suggested recognition system in order to prove efficiency. As a result, recognition rate had increased from the minimum 7.9% to the maximum12.2% as the case of using back propagation recognized the number platefor 87.9%, the case of using SVM for 91.4%, and the suggested had 98.6% of recognition rate.

• Phonetics and Speech Sciences
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• v.9 no.4
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• pp.43-50
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• 2017

These days voice models of speech recognition software are sophisticated enough to process the natural speech of people without any previous training. However, not much research has reported on the use of speech recognition tools in the field of pronunciation education. This paper examined Google speech recognition of a short English paragraph produced by Korean college students in clear and casual speech styles in order to diagnose and resolve students' pronunciation problems. Thirty three Korean college students participated in the recording of the English paragraph. The Google soundwriter was employed to collect data on the word recognition rates of the paragraph. Results showed that the total word recognition rate was 73% with a standard deviation of 11.5%. The word recognition rate of clear speech was around 77.3% while that of casual speech amounted to 68.7%. The reasons for the low recognition rate of casual speech were attributed to both individual pronunciation errors and the software itself as shown in its fricative recognition. Various distributions of unrecognized words were observed depending on each participant and proficiency groups. From the results, the author concludes that the speech recognition software is useful to diagnose each individual or group's pronunciation problems. Further studies on progressive improvements of learners' erroneous pronunciations would be desirable.

• Journal of Korea Multimedia Society
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• v.25 no.6
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• pp.807-818
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• 2022

In order to further improve the accuracy and time efficiency of behavior recognition in intelligent monitoring scenarios, a human behavior recognition algorithm based on YOLO combined with LSTM and CNN is proposed. Using the real-time nature of YOLO target detection, firstly, the specific behavior in the surveillance video is detected in real time, and the depth feature extraction is performed after obtaining the target size, location and other information; Then, remove noise data from irrelevant areas in the image; Finally, combined with LSTM modeling and processing time series, the final behavior discrimination is made for the behavior action sequence in the surveillance video. Experiments in the MSR and KTH datasets show that the average recognition rate of each behavior reaches 98.42% and 96.6%, and the average recognition speed reaches 210ms and 220ms. The method in this paper has a good effect on the intelligence behavior recognition.

• Journal of Satellite, Information and Communications
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• v.12 no.3
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• pp.69-73
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• 2017

In this paper, we developed a real-time image recognition algorithm based on machine learning and tested the performance of the algorithm. The real-time image recognition algorithm recognizes the input image in real-time based on the machine-learned image data. In order to test the performance of the real-time image recognition algorithm, we applied the real-time image recognition algorithm to the autonomous vehicle and showed the performance of the real-time image recognition algorithm through the application of the autonomous vehicle.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.28B no.12
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• pp.68-74
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• 1991

This paper proposes a HMM model based on fuzzy, as a method on the speech recognition of speaker-independent. In this recognition method, multi-observation sequences which give proper probabilities by fuzzy rule according to order of short distance from VQ codebook are obtained. Thereafter, the HMM model using this multi-observation sequences is generated, and in case of recognition, a word that has the most highest probability is selected as a recognized word. The vocabularies for recognition experiment are 146 DDD are names, and the feature parameter is 10S0thT LPC cepstrum coefficients. Besides the speech recognition experiments of proposed model, for comparison with it, we perform the experiments by DP, MSVQ and general HMM under same condition and data. Through the experiment results, it is proved that HMM model using fuzzy proposed in this paper is superior to DP method, MSVQ and general HMM model in recognition rate and computational time.

• Journal of Industrial Technology
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• v.33 no.A
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• pp.55-60
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• 2013

In this paper, we proposed an efficient method for implementing a voice recognition elevator. Unlike the existing ones, the proposed system is based on the bluetooth communication and smartphones equipped with the google speech recognition software, which makes it possible that the speech recognition capability can be added to the previously installed elevators. In order to improve the recognition accuracy, instead of using the result of the google recognizer, we built a web server where the user data are accumulated and they are used for recognition error correction.

• Journal of the Korean Society for Railway
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• v.12 no.2
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• pp.285-290
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• 2009

This paper implemented a Speech Recognition System in order to recognize Commands of Ticketing Machine (314 station-names) at real-time using Continuous Hidden Markov Model. Used 39 MFCC at feature vectors and For the improvement of recognition rate composed 895 tied-state triphone models. System performance valuation result of the multi-speaker-dependent recognition rate and the multi-speaker-independent recognition rate is 99.24% and 98.02% respectively. In the noisy environment the recognition rate is 93.91%.

• Journal of the Korean Dietetic Association
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• v.9 no.3
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• pp.185-196
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• 2003

In order to investigate the recognition of processed foods, use of food labeling, and their influencing factors in adolescents, 277(male 125, female 152) middle school students were conveniently selected from Cheonan city, and were surveyed by self-recording questionnaire on June, 2000. Subjects' parents were also surveyed using the similar questionnaire. Food labels of all 222 processed foods collected from stores around schools, were well labeled in most items, but food additives(35.6%) and the origin of major ingredient(27.0) were not well indicated. The recognition score of processed foods was 55.0 out of a full score 100 in students and 68.5 in parents. The scores of students were positively correlated with those of their parents and with father's education years, while negatively correlated with snacking expenses. The rate of reading food labels was significantly different between students(51.3%) and their parents(89.9%). The main purposes of reading food labels, in case of students, were to check expiry date(93.7%), price(70.4%), and how to eat(46.5%) in order. While in parents, those were to check expiry date(95.6%), additives(59.0%), and manufacturer(45.8%). Similarly, the most three important items in food labels were expiry date, price, and quantity to the students, but to the parents they were expiry date, manufacturer, and ingredient. The most significant reason not to confirm food labels was because of small size and complication of labels. The students who did not read food labels had more snacking money and more frequent snacking, and showed lower recognition score of processed food, compared with the students who read food labels. In conclusion, the students did not well recognise processed foods and only a half of them read food labels at purchasing. The recognition score of processed foods, snacking moneys, and snacking frequency may be influencing factors on the reading of food labels in students. The high recognition of processed food of parents may positively affect the students' recognition, but did not affect directly the reading food labels.

• Hwankyungkyoyuk
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• v.10 no.2
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• pp.157-174
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• 1997

The purpose of this thesis is to study recognition and attitude between teachers and students about school environmental education. The data for this study were collected by administering interviews with seven hundred sixty three teachers and one thousand six hundred fifty six students, and make comparison between these teachers and students recognition and attitude for the environmental education by use of research are as follows. The conclusion of this research are as follows. First, In the study of teachers and students recognition and attitudes about environmental education, though they are interested in it, they lack in knowledge and ability to solve real environmental problems. Also, environmental education tends to be dealt with indifferently and formally because of the burden of entrance examination and lack of material concerned. Second, the recognition and attitude of the teacher-student group about the school environmental education have meaningful difference in each region. The suggestions for the improvement of the environmental education based on these conclusions are as follows. First, the more efficient methods and materials of the school environmental education must be developed in order that students may understand the complex property of the environment and at the same time have the ability to improve the environmental quality. Second, the cooperating system of environmental education including the teacher- student- student's parents' should be established in order to develop the recognition and attitudes for the environment. And also for teachers group to get the more professional leadership about environmental education, government' support is needed.