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최영림,양희순,Choi, Young-Lim,Yang, Heesoon 한국의류학회 2017 한국의류학회지 Vol.41 No.4
Adolescent girls experience significant breast growth is a significant secondary sexual characteristic development; their breasts are clearly different from adults' in volume, location and shape. This study was designed to understand brassiere wearing conditions and practices of adolescent girls aged between 15 and 18, as well as to identify problems and solutions so that it can serve as basic guidelines to develop patterns and sizes for adolescent brassieres. This researcher first studied brassiere wearing conditions and size fitness of adolescent girls. We analyzed the 439 collected responses from an online survey. The survey questionnaires encompassed brassiere wearing conditions and practices, brassiere size awareness, brassiere design preference, and brassiere purchase behavior. The survey found that 55.8% of the responders did not accurately understand their brassiere sizes, and those who understood their size showed a higher satisfaction and less discomfort than those who did not. This study found a requirement to educate adolescent girls on how to select and wear the right-sized brassieres. It is also necessary to promote different brassiere designs for adolescent girls' size and body shape.
가정에서 발생하는 위험 또는 위반 상황 인식 및 대응을 위한 윤리적 에이전트 개발
최영림(Young Lim Choi),김종욱(Jong-Wook Kim) 제어로봇시스템학회 2021 제어·로봇·시스템학회 논문지 Vol.27 No.7
This paper introduces an AI agent that can recognize any hazardous or violent situation that may occur at a user’s home and notifies the user about the risk in advance before the consequential accident occurs. The AI agent analyzes a current situation based on the 5W1H principle to determine whether the user is in a dangerous, immoral, or illegal situation at home, according to the user’s age group. This AI agent has been developed by adding a new abnormal behavior code into the existing behavioral classification code to provide appropriate advice or response in the case of an abnormal situation. This agent is implemented using the open source cognitive agent architecture, chatbot engine, and database management system. The abnormal situation-recognition performance of the developed agent was validated through textual conversations between the agent and kids.
휴머노이드 로봇 모델을 이용한 보행재활 훈련장치의 견인모터 속도 파형 생성
최영림(Young-Lim Choi),최낙윤(Nak-Yoon Choi),박상일(Sang-Il Park),김종욱(Jong-Wook Kim) 한국지능시스템학회 2012 한국지능시스템학회논문지 Vol.22 No.5
본 논문은 슬관절 손상 환자의 하지근력 강화 재활훈련 장치에서 다리를 끌어주는 견인모터의 속도 프로파일을 휴머노이드 로봇 시뮬레이션을 통해 계산하는 방법을 새롭게 제안한다. 먼저 인체의 구조를 본 딴 휴머노이드 로봇의 3차원 전신 모델을 새롭게 구축하고, 표준 관절각도 데이터를 이 모델에 적용하여 자연스러운 보행을 시뮬레이션 했다. 그리고 하지의 대퇴부에 부착되어 있는 벨트와 견인모터와의 거리를 매 샘플링 타임에서 계산하여 이로부터 속도 프로파일을 도출하는 방식으로 보행 중 속도 파형을 생성한다. 휴머노이드 로봇의 기구학적 방법으로는 직진 보행에서 계산량이 적은 투영법을 사용했으며, 유각기의 관절 각도 프로파일은 Winter의 표준보행 데이터를 참조했다. 본 논문에서 제안한 방법으로 계산된 인체 특정부위 속도 프로파일은 제작 중인 트레드밀 재활훈련 장치에 적용될 예정이다. This work proposes a new method to generate velocity profile of a traction motor equipped in a rehabilitation system for knee joint patients through humanoid robot simulation. To this end, a three-dimensional full-body humanoid robot model is newly constructed, and natural human gait is simulated by applying to it reference joint angle trajectories already published. Linear velocity is derived from distance data calculated between the positions of a thigh band and its traction motor at every sampling instance, which is a novel idea of this paper. The projection rule is employed to kinematically describe the humanoid robot because of its high efficiency and accuracy, and measured joint trajectories are used in simulating human natural gait referring to Winter’s book. The attained motor velocity profile for a certain position in human body will be applied to our walking-assistance system which is implemented with a treadmill system.
여자 7-18세 3D 모델을 위한 인체 사이즈 스펙 개발
최영림 ( Young Lim Choi ) 한국의류산업학회 2013 한국의류산업학회지 Vol.15 No.2
This study develops size sections and specifications for females 7-18 years old. The specifications will contribute to the development of precise virtual models that represent basic data for the size alteration of 3D virtual models. A total of 33 items from the 5th Size Korea data set were adopted and analyzed. Two representative factors (Obesity and Height Factors) were identified through a factor analysis of the 33 items. Waist circumference and stature were selected as representative variables for Obesity and Height Factors, respectively, and conducted cross tabulations between waist circumference and height for the age groups of 7-12 and 13-18 year-olds. Size sections were developed for the development of 3D models based on the results. A regression analysis then developed size specifications for each section with independent variables of waist circumference and height as well as dependent variables of reference body size. Subsequently, Obesity Factors were better explained by waist circumference and Height Factors were better explained by stature. Finally, size specifications for each section were developed.