• Journal of Sasang Constitutional Medicine
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• v.18 no.2
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• pp.41-49
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• 2006

1. Objectives The Face is an important standard for the classification of Sasang Contitutions. We are developing 3D Face Automatic Recognition Apparatus to analyse the facial characteristics. So We should examine a shape demobilization error of 3D Face Automatic Recognition Apparatus. 2. Methods We compared facial shape data be demobilized by 3D Face Automatic Recognition Apparatus with facial shape data that be demobilized by 3D laser scanner. The subject was two korean men. And We analysed the average error and the maximum error of two data. In this process, We used one datum point(the peak of nose) and two datum line(vertical section and horizontal section). 3. Results and Conclusions In each this comparison, the average error of vertical section was 1.962574mm and 2.703814mm. and the maximum error of vertical section was 16.968249mm and 18.61464mm. the average error of horizontal section was 4.173203mm and 21.487479mm. and the maximum error of horizontal section was 3.571210mm and 17.13255mm. Also We complemented this apparatus a little and We reexamined a shape demobilization error of 3D Face Automatic Recognition Apparatus again. Accuracy of a shape demobilization was improved a little. From now on We complement accuracy of a shape demobilization in 3D Face Recognition Apparatus.

• Journal of Sasang Constitutional Medicine
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• v.19 no.1
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• pp.50-59
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• 2007

1. Objectives The Face is an important standard for the classification of Sasang Contitutions. Now We are developing 3D Automatic Face Recognition Apparatus to analyse the facial characteristics. This apparatus show us 3D image of man's face and measure facial figure. We should examine accuracy of position recognition in 3D Automatic Face Recognition Apparatus(3D-AFRA). 2. Methods We took a photograph of Face status with Land Mark by using 3D-AFRA. And We scanned Face status by using laser scanner(vivid 700). We analysed error average of distance between Facial Definition Points. We compare the average between using 3D-AFRA and using laser scanner. So We examined the accuracy of position recognition in 3D-AFRA at indirectly. 3. Results and Conclusions The error average of distance between Right Pupil and The Other Facial Definition Points is 0.5140mm and the error average of distance between Left Pupil and The Other Facial Definition Points is 0.5949mm in frontal image of face. The error average of distance between Left Pupil and The Other Facial Definition Points is 0.5308mm and the error average of distance between Left Tragion and The Other Facial Definition Points is 0.6529mm in laterall image of face. In conclusion, We assessed that accuracy of position recognition in 3D-AFRA is considerably good.

• Journal of Sasang Constitutional Medicine
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• v.34 no.3
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• pp.31-40
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• 2022

Objectives Sasang constitutional medicine is a traditional Korean medicine that classifies humans into four constitutions in consideration of individual differences in physical, psychological, and physiological characteristics. In this paper, we proposed a method to classify Taeeum person (TE) and Non-Taeeum person (NTE), Soeum person (SE) and Non-Soeum person (NSE), and Soyang person (ST) and Non-Soyang person (NSY) using a convolutional neural network with only facial images. Methods Based on the convolutional neural network VGG16 architecture, transfer learning is carried out on the facial images of 3738 subjects to classify TE and NTE, SE and NSE, and SY and NSY. Data augmentation techniques are used to increase classification performance. Results The classification performance of TE and NTE, SE and NSE, and SY and NSY was 77.24%, 85.17%, and 80.18% by F1 score and 80.02%, 85.96%, and 72.76% by Precision-Recall AUC (Area Under the receiver operating characteristic Curve) respectively. Conclusions It was found that Soeum person had the most heterogeneous facial features as it had the best classification performance compared to the rest of the constitution, followed by Taeeum person and Soyang person. The experimental results showed that there is a possibility to classify constitutions only with facial images. The performance is expected to increase with additional data such as BMI or personality questionnaire.

• Journal of Physiology & Pathology in Korean Medicine
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• v.18 no.4
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• pp.1192-1198
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• 2004

Sasang Constitutional Medicine is a major branch of Korean Traditional Medicine. The differences of disease susceptibility to be shown in Sasang constitution may be due to genetic factors. Therefore, I examined interrelationship among cerebral infarction (CI), apolipoprotein E (apo E) gene polymorphism, and Sasang constitutional classification. Apo E is a key protein modulating the highly atherogenic apoB containing lipoproteins and is a candidate gene for the development of coronary artery disease (CAD). The ε2 and/or ε4 alleles were the first to be implicated in premature CAD, which resulted in this polymorphism being extensively studied. I investigated the association between apo E genotype and CI by case-control study in a Korean population. I also classified CI patients and control group into groups according to Sasang Constitutional Medicine. 218 CI patients and 379 controls without CI were examined. Apo E genotype was determined by 8% polyacrylamide gel separation after DNA amplification. A frequency of apo E ε3/ε3 in the apo E genotype distribution was higher in the CI patients compared with that in controls. Also, it was widely known that Taeumin was easily attacked with CI, but there was no association between apo E polymorphim and Taeumin. However, the Taeumin constitution did not enhance the relative risk for CI in the subjects with apo E ε2 and/or ε4 alleles. No differences in the apo E genotypes frequencies were observed in the Taeumin compared with that in the other constitutions. In addition, I investigated whether the DD(deletion/deletion) or ID(insertion/deletion) genotype of angiotensin converting enzyme (ACE) gene, a candidate gene for CI, was associated with CI, Taeumin constitution, and apo E polymorphism. As a result, the frequency of Taeumin constitution was significantly higher in CI patients with both apo E ε3/ε4 and ACE ID/DD genotypes than in the remaining Sasang constitutions. In summary, it was concluded that the apo E polymorphism is a major risk factor for CI in Koreans and the ACE ID/DD genotype enhanced the relative risk for CI in the subjects with apo E ε3/ε4 genotype and Taeumin constitution.

• Journal of Sasang Constitutional Medicine
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• v.19 no.3
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• pp.51-61
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• 2007

1. Objectives The Face is an important standard for the classification of Sasang Constitutions. We are developing 3D Automatic Face Recognition Apparatus(3D-AFRA) to analyse the facial characteristics. This apparatus show us 3D image and data of man's face and measure facial figure data. So We should examine the Measurement of Facial Figure data error of 3D Automatic Face Recognition Apparatus(3D-AFRA) in Software Error Analysis. 2. Methods We scanned face status by using 3D Automatic Face Recognition Apparatus(3D-AFRA). And we measured lengths Between Facial Definition Parameters of facial figure data by Facial Measurement program. 2.1 Repeatability test We measured lengths Between Facial Definition Parameters of facial figure data restored by 3D-AFRA by Facial Measurement program 10 times. Then we compared 10 results each other for repeatability test. 2.2 Measurement error test We measured lengths Between Facial Definition Parameters of facial figure data by two different measurement program that are Facial Measurement program and Rapidform2006. At measuring lengths Between Facial Definition Parameters, we uses two measurement way. The one is straight line measurement, the other is curved line measurement. Then we compared results measured by Facial Measurement program with results measured by Rapidform2006. 3. Results and Conclusions In repeatability test, standard deviation of results is 0.084-0.450mm. And in straight line measurement error test, the average error 0.0582mm, and the maximum error was 0.28mm. In curved line measurement error test, the average error 0.413mm, and the maximum error was 1.53mm. In conclusion, we assessed that the accuracy and repeatability of Facial Measurement program is considerably good. From now on we complement accuracy of 3D-AFRA in Hardware and Software.

• Journal of Sasang Constitutional Medicine
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• v.21 no.3
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• pp.39-47
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• 2009

1. Objectives: In order to classify an individual into four constitution type, an oriental medical doctor utilizes various information such as face, pulse, voice, and questionnaire. When only one type of information is used, one's constitution may not be decided correctly. 2. Methods: In this paper, we propose a novel four constitution types classifier using facial images which classifies subjects into indecision group as well as Taeumin, Soeumin, and Soyangin. 3. Results: Experimental results show that it increases the classification rate though the decision rate is rather decreased, which is more effective and reliable than conventional classifiers without indecision. 4. Conclusion: For the effective classification, we have found that it is more useful to add an indecision group which requires more information to be properly classified into one constitution type.

• Journal of Sasang Constitutional Medicine
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• v.16 no.3
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• pp.46-58
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• 2004

1. Objectives This study was performed by means of perceptual evaluation of the voices of Sasang Constitution. 2. Methods 73 female subjects were classified by means of 3 kinds of Questionnaire papers(QSCCII, QSCCI, Sasang Pattern Identification Questionnaire). So they were categorized into 3 groups, 23 Soyangin, 28 Taeumin and 22 Soeumin. 73 voice samples were presented three times to a group of 5 judges. The time interval between ratings was 14 days. The four goals of this study were to evaluate the intraobserver reliability between each rating, to evaluate the interobserver reliability, to evaluate the reliability between the each rating and Questionnaire result and to make the notion of the consensus of Sasang Constitution's Voice. 3. Results & Conclusions The intraobserver reliability between the first and second rating showed significance statistically among all observers. And the intraobserver reliability between the second and third rating showed significance except one observer. The interobserver reliability among the three ratings showed significance statistically except one to two observers in the first rating and other one to another one in the second rating. In the reliability between the each rating and Questionnaire result, one in the first rating, other one in the second rating and another two in the third rating showed significance. To make the notion of the consensus of Sasang Constitution's Voice, classification into 4 categories was made: clear/hoarse, high/low, fast/slow, powerful/powerless. The voice of Soyangin group was classified as powerful and fast, and that of Taeumin group as powerful, hoarse and low and that of Soeumin group as powerless and slow.

• Journal of Sasang Constitutional Medicine
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• v.10 no.2
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• pp.41-50
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• 1998

The purpose of this study was to identify the associations between Lee Je-ma Sasang Constitutions and C. G. Jung's Psychological Types. In addition, this information could also be valuable in clinical practices. The QSCC II(Questionnaire for Sasang Constitution Classification II) and MBTI(Myers-Briggs Type Indicator) was administered to 319 volunteer male soldiers($21.5{\pm}1.4yr$) in the army. The results were as follows; 1) Soyangin groups tended to be extroverted, sensing, perceiving types. 2) Soeumin groups tended to be introverted, sensing, thinking, perceiving types. 3) Taeumin groups tended to be extroverted, sensing, thinking types. 4) but, there were no Taeyang groups according to QSCC II. This results show that there are significant relationships between Lee Je-ma sasang constitutions and C. G. Jung's psychological types.

• Journal of Sasang Constitutional Medicine
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• v.10 no.1
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• pp.65-80
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• 1998

Proceeding an objective Study of sasang constitution diagnosis by Sound Analysis which uses Computed Sound lab(CSL), we verified the confidence level of Questionnaire of Sasang Constitution classification II(QSCC II) and the first results of Sound Analysis for verifying correlation between the physical character and Sound character are as follows. 1. The confidence level of QSCC II is 70.8% to Soeumin, 60.8% to Soyangin, 74.5% to Taeumin, and 70.08% in total. But, the actual results of verifying the confidence level after making 100 persons an object of study, are that the confidence level of that is 55.10% to Soeumin, 30.77% to Soyangin, 80.00% to Taeumin, and 55.29% in total. So it doesn't coincide with the confidence lecel of QSCC II 70.8%. 2. The results of verifying the confidence level about other 134 persons after enough explanation before the constitutional diagnosis by QSCC II are that the confidence of that is 71.08 to Soeumin, 54.76% to Soyangin 81.82% to Taeumin, and 69.22% in total. 3. The results of verifying the correlation between B.M.I. and Sasang Costitution are that there are significant differences below P<0.001 between Taeumin and Soeumin, and between Taeumin and Soyangin. 4. Height and Weight influence on a fundamental frequency and formant frequency. 5. There are differences for every constitutions in a amplitude when we nave a Sound analysis. As aboves, it is considered that we can find the differences among the constitutional groups, if we have a Sound analysis of the constitutional Sound characters.

• Journal of Sasang Constitutional Medicine
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• v.15 no.1
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• pp.39-49
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• 2003

1. The purpose of study The problem lies in the Sasang-constitutional-medicine is a subjectiveness of diagnosis that can be varied by every donor. Questionnare for the Sasang Constitution Classification II(QSCCII) was invented to solve this problem. This study was conducted for two purpose. The one is re-value the QSCCII. The other is to make a basis to upgrade QSCCII. 2. The method of study QSCCII was administered to 537 patients at Kyung Hee Oriental Medicine Hospital. Data was collected during 19 months from september 2000 to march 2002. For the purpose of this study, the collected data was analyzed by crosstabs, variation analysis and discrimination analysis. The analyzing program was SPSS 8.0 for Windows. And using this program I made the judgmental equation to re-value the QSCCII. 3. The result of study 1) not applied intensifying value The diagnostic discrimination abilities of the QSCCII is 61.5% about Taeyangin, 57.7% about Soyangin, 67.2% about Taeumin, 68.8% about Soemin. And its average is 65.0%. 2) applied intensifying value The diagnostic discrimination abilities of the QSCCII is 76.9% about Taeyangin, 59.9% about Soyangin, 68.9% about Taeumin, 71.2% about Soemin. And its average is 67.3%. 3) I propose a new diagnostic possibility with a different discriminant analysis and increase 42.3% of diagnostic discrimination ability considering 25% of accident diagnostic discrimination ability. 4) Development and complement of Taeyangin and Soyangin questions is needed to increase the accuracy of diagnosis.