• Phonetics and Speech Sciences
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• v.3 no.1
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• pp.117-123
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• 2011

Most individuals with hearing impairment have difficulty in understanding speech in noisy situations. This study was conducted to investigate sentence recognition ability using the Korean Standard-Sentence Lists for Preschoolers (KS-SL-P2) in pre-school age children with cochlear implants and hearing aids. The subjects of this study were 10 pre-school age children with hearing aids, 12 pre-school age children with cochlear implants, and 10 pre-school age children with normal hearing. Three kinds of signal-to-noise (SNR) conditions (+10 dB, +5 dB, 0 dB) were applied. The results for all pre-school age children with cochlear implants and hearing aids presented a significant increase in the score for sentence recognition as SNR increased. The sentence recognition score in speech noise were obtained with the SNR +10 dB. Significant differences existed between groups in terms of their sentence recognition ability, with the cochlear implant group performing better than the hearing aid group. These findings suggest the presence of a sentence recognition test using speech noise is useful for evaluating pre-school age children's listening skill.

• Journal of the Korean Institute of Telematics and Electronics
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• v.25 no.12
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• pp.1503-1512
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• 1988

As the basic analysis to solve the within-and cross-speaker variability in phoneme based speech recognition, changes in pitch and formant frequencies of 8 Korean vowels with age and sex of speaker has been investigated by analyzing a large number fo samples. Conclusions obtained are as follows: 1) Changes in pitch frequency with age and sex of speaker for children are hard to distinguish and the difference of before and after the voice change is analyzed approximately 0.2 oct. for female an 0.9 oct. for male. 2) While most of the formants of vowel considerably change with the age of speaker, the change becomes smaller as the age becomes older. 3) While there is an indirect correlation between pitch and formant with change in age, it is hard to see a direct correlation. 4) When the objects of the recognition experiment by pitch and formants are various speakers in each age and sex, pitch also works as an efficient recognition parameter.

• Journal of the Korean Society of Food Culture
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• v.38 no.6
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• pp.373-380
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• 2023

In this study, 294 housewives in Siheung, Gyeonggi-do, were surveyed to evaluate the differences in the recognition and use of nutrition labeling according to age and to present data for nutrition education. The younger the age, the more aware the consumer was of the information on the nutrition label. Housewives who were younger than 60 years were more likely to check the nutrition labels. The lower the age, the higher the reliance on the nutritional labeling content of the food, and the higher the recognition level of nutritional labeling. It was found that the lower the age, the easier it was for the consumer to understand the nutritional labeling. Among housewives in their 30s and younger, 89.5 percent said they believed checking nutrition labels would help their health. In the younger age group knowledge and information on nutrition labeling was acquired from the internet, and in the older age group, knowledge was acquired from television, radio, and newspapers. Research conducted on housewives in other regions in the future could provide more detailed information suitable for the population of each region. This would serve as data for nutrition education on the recognition and use of nutrition labeling for a healthy diet.

• Korean Journal of Human Ecology
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• v.14 no.5
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• pp.847-858
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• 2005

The purpose of this study was to compare the differences in recognition of sexy body parts and apparel designs by age and to discover the correlations between sexy body parts and apparel designs. Data were collected through a survey of 265 males and 303 females. Analyses included t-tests, f-tests, and Pearson's correlations. The results were as followings; 1. The 20's-30's age group found female body parts were sexier than 40's-50's did. 20's-30's believed the male body was sexier than 40's-50's did. 2. The age groups found men's clothing designs were different by different age groups. Also, differences in female clothing designs were recognized by different age groups. 3. The 40's-50's age group recognized see-through sexier than 20's-30s did. Differences in sexy color recognition by age were also found. 4. There were correlations between most of sexy body parts and designs which emphasized the body parts. The results of this study show the differences in recognition and correlation by age. The results may be applied to developing sexy designs for different targeted age groups.

• Journal of the Korean Home Economics Association
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• v.45 no.2
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• pp.133-145
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• 2007

The purpose of this research was to identify the importance of emotional development in early childhood, in children ages three to five, by examining the relationship between the variables in the children such as gender, age, and temperament, as well as their mothers' emotionality, in relation to emotional development. The participants included a total of 72 children between three and five years of age. The major findings are as follow: First, there were significant differences in emotional expression and emotional recognition between the boys and the girls. Additionally, the emotional recognition of the children increased as age increased, and more positive strategies for emotional regulation were used with the increasing age of the children. Temperament characteristics did not have any relationship with emotional expression or emotional recognition, while the strategies for emotional regulation were related to the temperament characteristics. Second, the emotional expressivity of the mother was related to the emotional expression and recognition of the child, but wes not associated with strategies for emotional regulation. The emotional reactivity of the mother was related to a child's strategies for emotional regulation, but not to emotional expression or recognition. Third, emotional development of the children wes influenced by the individual child variables and emotionality of the mother.

• Journal of the Korean Society of Clothing and Textiles
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• v.22 no.1
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• pp.127-138
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• 1998

Through the recognition and the satisfaction of the lower part of the women body from age 30 to age 49 we studied 211 respondents of the women to analyze what lower part shape they want. The results are as follows. 1. The recognition of the lower Part showed certain degrees of differences in waist girth, abdomen girth, and weight according to the age. 2. The female of the 40s showed higher satisfaction of their lower part considering that of the 30s 3. The cluster analysis of the lower part shape of the 30s and 40s was classified into 5 types.

• International journal of advanced smart convergence
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• v.9 no.2
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• pp.203-211
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• 2020

This study proposes a method for estimating gender and age that is robust to various external environment changes by applying deep learning-based learning. To improve the accuracy of the proposed algorithm, an improved CNN network structure and learning method are described, and the performance of the algorithm is also evaluated. In this study, in order to improve the learning method based on CNN composed of 6 layers of hidden layers, a network using GoogLeNet's inception module was constructed. As a result of the experiment, the age estimation accuracy of 5,328 images for the performance test of the age estimation method is about 85%, and the gender estimation accuracy is about 98%. It is expected that real-time age recognition will be possible beyond feature extraction of face images if studies on the construction of a larger data set, pre-processing methods, and various network structures and activation functions have been made to classify the age classes that are further subdivided according to age.

• Journal of Information Processing Systems
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• v.12 no.3
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• pp.392-409
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• 2016

The aim of this paper is to examine the effectiveness of combining three popular tools used in pattern recognition, which are the Active Appearance Model (AAM), the two-dimensional discrete cosine transform (2D-DCT), and Kernel Fisher Analysis (KFA), for face recognition across age variations. For this purpose, we first used AAM to generate an AAM-based face representation; then, we applied 2D-DCT to get the descriptor of the image; and finally, we used a multiclass KFA for dimension reduction. Classification was made through a K-nearest neighbor classifier, based on Euclidean distance. Our experimental results on face images, which were obtained from the publicly available FG-NET face database, showed that the proposed descriptor worked satisfactorily for both face identification and verification across age progression.

• Korean Journal of Human Ecology
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• v.20 no.1
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• pp.133-141
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• 2011

The purpose of this study was to investigate parents' recognition of the importance of their children's basic habits and how that effected their children's basic habit development, according to young children's age. The subjects of the research were 224 parents whose children were three to five years old, attending seven nurseries in Seoul and Gyeonggi-do. The results of this study were as follows. First, there was significant age difference in the parents' recognition of the importance of basic habits. As children were older, parents thought that children's basic habits got more important. Second, there was no significant difference between a mother or father's recognition about the importance of basic habits. Third, there were differences in the correlations between the parents' recognition and the teacher's ratings for the development of children's basic habits based on the children's age. In conclusion, the mothers' recognition of the importance of their children's basic habits with younger children was more related to the development of the children's basic habits.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.779-782
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• 2017

OpenBR is a framework for researching new facial recognition methods, improving existing algorithms, interacting with commercial systems, measuring perceived performance, and deploying automated biometric systems. Designed to facilitate rapid algorithm prototyping, it features a mature core framework, flexible plug-in system, and open and closed source development support. The established algorithms can be used for specific forms such as face recognition, age estimation, and gender estimation. In this paper, we describe the framework of OpenBR and implement facial recognition, gender estimation, and age estimation using supported programs.