• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.7
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• pp.1148-1156
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• 2007

This study were examined Chinese size system and fitness for women's suits of Korean brands produced by the manufacturers operating in China. The results are as follows. 1. One manufacturer used Chinese size system for women's suits among those manufacturers in China. And the rests individually adopted different size system of various ways. 2. Chinese women almost satisfied fitness and size system for suits of Korean brand. Especially, they satisfied fitness and size system for jacket more than the other apparel items. Pants was the worst item of fitness satisfaction. 3. Size assortment of each items was very different for each manufacturers which extended their business in China. And the smallest size was more produced than the other size in many manufacturers. 4. Most of the women's suits manufacturers of Korean brand in China, were collected consumers' informations for fitness and size satisfaction through their salespersons. Most of them replied that they were repairing items which were not in good fitness.

• Journal of the Ergonomics Society of Korea
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• v.16 no.1
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• pp.47-61
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• 1997

A statistical method was developed to examine the US navy women's sizing system. Subjects including 906 navy female personnels were classified into seven groups based on the body type. Regression analyses were performed within seven groups to determine the sizing system maximizing the fitness of clothing in each group. New parameters were developed and used to statistically investigate the fitness level based upon boty navy sizing system and regression based system in this study. A customizef SAS program was used to compute the fitness levels. Results indicated that the navy sizing system showed lower fitness level in most groups except Juniour than the regression based system. It was concluded that the current method with new parameters could be used as an objective tool to evaluate the existing or new sizing system. This method can be further validated in other sample populations.

• Journal of Biomedical Engineering Research
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• v.16 no.1
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• pp.85-94
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• 1995

We have developed MSPF (measurement system for physical fitness) which measures physical strength and body dimensions. This system has two main features, one is an automatic measurement of physical fitness, and the other is reducement of reading and writing errors caused by human during measurement. Using the MSPF, total ten items can be measured such as weight, height, sit up, push up,. etc. Since the system which have objectification and high precision has been needed, we used a memory card. By using this, it was easy to save and archive data by computer.

• Journal of Digital Convergence
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• v.18 no.12
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• pp.97-103
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• 2020

The proposed system is composed of two parts, an AI physical fitness measurement part and an AI physical fitness management part. In the AI fitness measurement part, a guide to physical fitness measurement and accurate calculation of the measured value are performed through deep learning-based pose recognition. Based on these measurements, the AI fitness management part designs personalized exercise programs and provides them to dedicated smart applications. To guide the measurement posture, the posture of the subject to be measured is photographed through a webcam and the skeleton line is extracted. Next, the skeletal line of the learned preparation posture is compared with the extracted skeletal line to determine whether or not it is normal, and voice guidance is provided to maintain the normal posture.

• The Journal of the Convergence on Culture Technology
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• v.7 no.3
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• pp.571-576
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• 2021

This study was carried out to overcome the problems of the existing fitness business and to build a fitness system that can meet the increased demand in the Corona situation. As a platform technology for non-face-to-face fitness edutainment service, it is a next-generation fitness exercise device that can use various body parts and synchronize network-type information. By synchronizing the exercise information of the fitness equipment, it was composed of learning contents through MR-based avatars. A quantified result was derived from examining the applicability of the customized evaluation system through momentum analysis with A.I analysis applying the LSTM-based algorithm according to the cumulative exercise effect of the user. It is a motion capture and 3D visualization fitness program for the application of systematic exercise techniques through academic experts, and it is judged that it will contribute to the improvement of the user's fitness knowledge and exercise ability.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.609-611
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• 2016

Recently, a study of the system is underway in various fitness. However, the fitness machine is only to provide the data by the algorithm of developer intent and mechanisms for analyzing the user data is low level. The inability to provide accurate data to the user and occurs because of it. In this paper, we propose a mechanism for analyzing the user data in order to solve these problems and designed a fitness system based on this. A mechanism to analyze the data user by analyzing the user's body information makes like momentum for the user. The body of the user information is analyzed based on the analysis BMR(Basal Metabolic Rate) dimension, which is considered to be able to provide accurate information than existing fitness system.

• Journal of the Korean Society of Clothing and Textiles
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• v.22 no.4
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• pp.482-492
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• 1998

With the purpose of developing a objective fitness evaluation system for knits, the basic bodice pattern for knit was drafted and the suitability of the altered pattern was evaluated. For each of nine different knits, six sleeveless shirts were made with patterns that were altered by different pattern alteration rate: 0%, 30%, 40%, 50%, 60%, or 70% of the stretch rate of the knit. The panel that was composed of 25 clothing specialists evaluated the fitness of the garments. The distance from the dress form landmark to the garment landmark was measured from each experimental garment. And the results of garment fitness evaluation and the measurement of distance from the dress form landmark to garment landmark were compared. The results of this study are as follows: There was high correlation(r$\geq$0.9) between the evaluation of the panel about the garment fit and the landmarks distance. The stretch rate of knits affected the evaluation of the garment fit. The stretch rate in course of knits affected on the garment fit at crosswise direction. The suitable pattern alteration rate was lower than 30% for the knits with high stretch rate in course. It was concluded that in order to get the appropriate knit bodice pattern length, the front bodice pattern must be less shorten than the back bodice pattern. The alteration rate at hip line must be lower than for waist or bust line.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.1
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• pp.187-192
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• 2020

It is very useful because we can measure precise exercise volume at indoor and outdoor space, and receive push message and retrieve for exercise information by smart-phone at any-time and any-place if a fitness healthcare system base on IoT is utilized. This system is interlocked with IoT module including sensing device in sports equipment, IoT gateway, smart-phone, smart-band and server by internet. In this paper, when this, "a fitness healthcare system base on IoT", software is developed, a proper analysis and design method for practical affairs try to be presented due to showing software development analysis method and design method such as flowchart and UI design.

• Journal of Korean Society on Water Environment
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• v.23 no.5
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• pp.697-704
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• 2007

This study proposes an integrated technique of Genetic Algorishim (GA) and Geographic Information System (GIS) for designing the water quality monitoring networks. To develop solution scheme of the integrated system, fitness functions are defined by the linear combination of five criteria which stand for the operation objectives of water quality monitoring stations. The criteria include representativeness of a river system, compliance with water quality standards, supervision of water use, surveillance of pollution sources and examination of water quality changes. The fitness level is obtained through calculations of the fitness functions and input data from GIS. To find the most appropriate parameters for the problems, the sensitivity analysis is performed for four parameters such as number of generations, population sizes, probability of crossover, and probability of mutation. Using the parameters resulted from the sensitivity analysis, the developed system proposed 110 water quality monitoring stations in the Nakdong River. This study demonstrates that the integrated technique of GA and GIS can be utilized as a decision supporting tool in optimized design for a water quality monitoring network.

• Fashion & Textile Research Journal
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• v.20 no.4
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• pp.464-473
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• 2018

The objective of this study is to develop a sizing system of fitness clothing that can properly accommodate various body sizes of Korean senior women. The sizing system of upper and lower fitness clothing was developed in the present study by selection of key variables, identification of size category candidates, and determination of an optimal sizing system. First, key anthropometric dimensions (stature and bust circumference for upper clothing and stature; waist circumference for lower clothing) were identified by factor analysis on the direct body measurements (n = 272) and 3D whole-body scan data (n = 271) of Korean senior women in Size Korea. Second, sizing system candidates based on the key dimensions of upper and lower clothing were explored using a grid method and an optimization method. Lastly, among the sizing system candidates, optimal sizing systems of upper and lower clothing were selected in terms of accommodation rate. Five size categories (short/small, short/medium, tall/small, tall/medium, and tall/large) were selected as the optimal sizing systems of upper and lower clothing with 89% and 78% of accommodation rate, respectively, for the Korean senior women. The anthropometric characteristics of the representative humans of the optimal size categories would be of use in the design of fitness compressive wear for the better fit and effectiveness of exercise and health of Korean senior women.