• 정보처리학회논문지B
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• 제18B권1호
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• pp.21-28
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• 2011

얼굴의 3차원 정보는 얼굴 인식이나 얼굴 합성, Human Computer Interaction (HCI) 등 다양한 분야에서 유용하게 이용될 수 있다. 그러나 일반적으로 3차원 정보는 3D 스캐너와 같은 고가의 장비를 이용하여 획득되기 때문에 얼굴의 3차원 정보를 얻기 위해서는 많은 비용이 요구된다. 본 논문에서는 일반적으로 손쉽게 얻을 수 있는 2차원의 얼굴 영상 시퀀스로부터 효과적으로 3차월 얼굴 형태를 추적하고 재구성하기 위한 3차원 Active Appearance Model (3D-AAM) 방법을 제안한다. 얼굴의 3차원 변화 정보를 추정하기 위해 학습 영상은 정면 얼굴 포즈로 다양한 얼굴 표정 변화를 포함한 영상과 표정 변화를 갖지 않으면서 서로 크게 다른 얼굴 포즈를 갖는 영상으로 구성한다. 입력 영상의 3차원 얼굴 변화를 추정하기 위해 먼저 서로 다른 포즈를 갖는 학습 영상으로부터 얼굴의 각 특징점(Land-mark)의 기하학적 변화를 이용하여 깊이 정보를 추정하고 추정된 특징점의 깊이 정보를 입력 영상의 2차원 얼굴 변화에 추가하여 최종적으로 입력 얼굴의 3차원 변화를 추정한다. 본 논문에서 제안된 방법은 얼굴의 다양한 표정 변화와 함께 3차원의 얼굴 포즈 변화를 포함한 실험 영상을 이용하여 기존의 AAM에 비해 효과적이면서 빠르게 입력 얼굴을 추적(Fitting)할 수 있으며 입력 영상의 정확한 3차원 얼굴 형태를 생성할 수 있음을 보였다.

• 한국초등과학교육학회지:초등과학교육
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• 제38권3호
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• pp.406-425
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• 2019

The purpose of this study is to analyze The Effect of Teacher Participation-oriented Education Program (TPEP) centered on Multi-Faceted Analysis of Elementary Science Classes on the Class Expertise of novice teacher. First, in order to develop the TPEP, lectures and exploratory science classes were analyzed using imaging and eye-tracking techniques. In this study, the TPEP was developed in five stages: image analysis, eye analysis, teaching language analysis, gesture analysis, and class development. Participants directly analyzed the classes of experienced and novice teachers at each stage. The TPEP developed in this study is different from the existing teacher education program in that it reflected the human performance technology aspects. The participants analyzed actual elementary science classes in a multi-faceted way and developed better classes based on them. The results of this study are as follows. First, at the teacher training institutions and the school sites, pre-service teachers and novice teachers should be provided with various experiences in class analysis and multi-faceted analysis of their own classes. Second, through this study, we were able to identify the limitations of existing class observations and video analysis. Third, the TPEP should be developed to improve the novice teachers' class expertise. Finally, we hope that the results of this study are used as basic data in developing programs to improve teachers' class expertise in teacher training institutions and education policy institutions.

• 대한건축학회논문집:계획계
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• 제36권5호
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• pp.83-91
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• 2020

Environmental conditions are known to impact human health and behavior, emotions such as pleasure, anxiety, and depression, and reduce stress. Interior design that elevates emotional comfort and satisfaction can help improve mental health and well-being. This study is a systematic review that analyzed previous empirical studies that explored the effect of interior design elements on the user's emotional response which is quantitatively evaluated by bio-signal and qualitatively evaluated through self-reported questionnaire surveys. This paper aims to derive the attributes of interior design and biometric indicators that affect the user's positive emotion through the synthesis of previous studies and to confirm the feasibility of measuring bio-signals as an objective evaluation tool for architectural design and as a quantitative research method. As a result of the review, the biometric data from EEG, fMRI, ECG, EMG, GSR, and eye-tracking were used to measure the participants' emotional responses, which were manifested as positive or negative depending on certain attributes of interior design such as the form, color, lighting, material and furniture. The attributes of interior design related to the positive emotional response were the curved shape, high ceiling, openness of space, and subdued tone colors. Standard lighting conditions and wooden spaces were related to stress reduction in terms of comfort and relaxation. The free arrangement of furniture was related to the user's positive emotions. On the other hand, consistent experimental protocols could not be found, and although the sample sizes of the studies were small, the studies have demonstrated the feasibility of the emotional response measurement by using the biometric data. Therefore this method can be a useful objective tool in the measurement of human-centric data in architectural design, and to develop the evidence-based design to induce positive emotions and minimize stress.

• 융합신호처리학회논문지
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• 제21권1호
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• pp.38-48
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• 2020

기존에 건조되어 있거나, 신규로 건조되고 있는 선저를 검사하기 위해선 전문 잠수부가 직접 수중 하부에서 육안으로 검사를 한다. 하지만 직접 사람이 하는 일이기 때문에 인명사고, 충돌사고 등 많은 위험이 뒤따른다. 이를 해결하기 위해 Visual Inspection을 위한 선박 검사용 수중 드론 개발이 필요하다. 수중 드론에 적용되는 기술과 각 부품의 용도와 제작 과정, 펌웨어 개발과 같은 제작 방법에 관해 기술하였으며 수중에서 드론 자체의 주행 능력과 크롤러를 이용한 주행 능력을 측정하여 차이를 비교해보고 위치 추적 장치 테스트를 통해 실제 위치와의 오차를 확인하였다. 본 연구를 통해 제작된 수중 드론을 작업 현장에서 사용하였을 때 인명사고를 예방하고 경제적 효과와 안정성을 얻을 것으로 기대된다.

• Korean Journal of Acupuncture
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• 제38권4호
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• pp.267-274
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• 2021

Objectives : Acupoints education is important in that it can determine the clinical competency of Korean Medicine Doctors (KMDs). Accordingly, we aimed to develop a practical simulator for acupoints education, acupoints training, acupoints practice, and acupoints evaluation. Methods : Korean Medicine (KM) SMART Table can be divided into hardware, server and components, and is organically linked. We develop KM SMART Table that combines the hardware of a human-sized table with a UHD display capable of multi-touch in two cases and software that can teach acupoints. We make Augmented Reality (AR) contents linked with KM SMART Table contents and develop applications that can use contents using mobile devices. By developing an AR image tracking module to react with KM SMART Table, it enables acupoint learning according to the mobile device platform and human anatomy. Results : The current system is a prototype where some 3D technology has been implemented, but the AR function will be produced later. New learning using 3D and AR will be required during acupoints education and acupoints practice. It will be used a lot in OSCE (Objective Structured Clinical Examination) practices for strengthening the competency of KMDs, and it will be of great help not only in KM education as a unique simulator of KM, but also in the practice of acupuncture and chuna for musculoskeletal diseases. Conclusions : The KM SMART Table is a technology that combines 3D and AR to learn acupoints, and to conduct acupoints OSCE practice, and we suggest that it can be usefully used for educational evaluation.

• 한국의류학회지
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• 제46권5호
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• pp.805-826
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• 2022

This study explored the process by which consumers purchase products from small fashion business owners via online and mobile channels. In addition, group types were classified given that the purchasing process depends on the consumers' life cycle. The consumer focus group interview (FGI) was conducted on 18 participants that were divided into six groups by age, work, and children. Results revealed that first, consumer journey comprised four stages. Factors influencing need recognition were "attention to information of social media influencer," "attention to information of affiliated groups," and "repeated advertising of SME products/brands." For information searching, "exploring purchase reviews," "environment for mobile shopping information exploration," and "continuous product tracking" were important factors. Purchasing and shopping stages were affected by "price-free, improvised purchase decision" and "convenient mobile payment system and point benefits." After the purchase, "active sharing and repeated purchase when satisfied" and "blocking relationships when dissatisfied" occurred. Second, six consumer groups based on the fashion life cycle are the "Platform lover," "Influencer follower," "Trust builder," "Novelty seeker," "Convenience seeker," and "New designer supporter." Ultimately, small business owners can develop the process of planning and selling fashion products more efficiently.

• 스마트미디어저널
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• 제12권7호
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• pp.59-67
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• 2023

최근 인간의 자세와 행동을 추적하는 행동 분석 연구가 활발해지고 있다. 특히 2017년 CMU에서 개발한 오픈소스인 오픈포즈(OpenPose)는 사람의 외모와 행동을 추정하는 대표적인 방법이다. 오픈포즈는 사람의 키, 얼굴, 손 등의 신체부위를 실시간으로 감지하고 추정할 수 있어 스마트 헬스케어, 운 동 트레이닝, 보안시스템, 의료 등 다양한 분야에 적용될 수 있다. 본 논문에서는 헬스장에서 사용자들이 가장 많이 운동하는 Squat, Walk, Wave, Fall-down 4개 동작을 오픈포즈기반 딥러닝인 DNN과 CNN을 이용하여 운동 동작 분류 방법을 제안한다. 학습데이터는 녹화영상 및 실시간으로 카메라를 통해 사용자의 동작을 캡처해서 데이터 셋을 수집한다. 수집된 데이터 셋은 OpenPose을 이용하여 전처리과정을 진행하고, 전처리과정이 완료된 데이터 셋은 본 논문에서 제안한 DNN 및 CNN 모델 이용하여 운동 동작 분류를 학습한다. 제안한 모델에 대한 성능 오차는 MSE, RMSE, MAE를 사용한다. 성능 평가 결과, 제안한 DNN 모델 성능이 제안한 CNN 모델보다 우수한 것으로 나타났다.

• 한국환경과학회지
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• 제31권3호
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• pp.219-226
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• 2022

This study was conducted to investigate the response of the human body to stress induced by wall recording of subway stations in the city center. The experiment was conducted as a simulation exercise, and six images were selected and produced based on Subway Line 2, a representative underground space in Seoul. The study participants included 24 male and female college students. A three-minute experiment was conducted, during which the participants were shown the control image and green wall image once each. To measure psychological status, the following measurement indicators were used: Semantic Differential, Positive Affect and Negative Affect Schedule and State-Trait Anxiety Inventory. Physiological changes were investigated by tracking participants' heart rate and blood pressure. Results showed that parasympathetic and sympathetic nerves were activated in the presence of the green wall in the subway station. The psychological evaluation analysis revealed that negative affect toward underground space decreased, while positive affect increased. This study found that the green wall in subway stations has a stable effect on the human body, both psychologically and physiologically. In the future, green walls in underground spaces can be used to reduce psychological stress and increase physiological relaxation.

• International Journal of Contents
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• 제8권2호
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• pp.52-59
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• 2012

This study uses digital imaging and communications in medicine (DICOM) files acquired after CT scan to obtain the absorbed dose distribution inside the body by using the patient's actual anatomical data; uses geometry and tracking (Geant)4 as a way to obtain the accurate absorbed dose distribution inside the body. This method is easier to establish the radioprotection plan through estimating the absorbed dose distribution inside the body compared to the evaluation of absorbed dose using thermo-luminescence dosimeter (TLD) with inferior reliability and accuracy because many variables act on result values with respect to the evaluation of the patient's absorbed dose distribution in diagnostic imaging and the evaluation of absorbed dose using phantom; can contribute to improving reliability accuracy and reproducibility; it makes significance in that it can implement the actual patient's absorbed dose distribution, not just mere estimation using mathematical phantom or humanoid phantom. When comparing the absorbed dose in polymethly methacrylate (PMMA) phantom measured in metal oxide semiconductor field effect transistor (MOSFET) dosimeter for verification of Geant4 and the result of Geant4 simulation, there was $0.46{\pm}4.69%$ ($15{\times}15cm^2$), and $-0.75{\pm}5.19%$ ($20{\times}20cm^2$) difference according to the depth. This study, through the simulation by means of Geant4, suggests a new way to calculate the actual dose of radiation exposure of patients through DICOM interface.

• 대한인간공학회:학술대회논문집
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• 대한인간공학회 1998년도 춘계학술대회논문집
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• pp.19.1-24
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• 1998

Designers often hesitate to decide the shape, size, and layout of a product. Though ergonomic principles and data are absolutely needed in this process, they don't have enough guidelines to refer. For the refrigerator designers, they also are not convinced of their decision: the vertical position of the freezing and refrigerating rooms, the height of shelves, the shape of door-handle, and etc. To support the refrigerator design, we applied several ergonomic methods to the evaluation of a refrigerator. EMG measurement was used to evaluate the load of user's lumbar muscle. Based upon the experimental EMG data, we developed a model to predict the relative load according to the height of refrigerator shelves. Two different layouts of a refrigerator, R/F and F/R style, were compared with the model. A three-dimenaional motion analysis method was used to evaluate the user's motion of using a refrigerator. Ten door-handles with the different shapes and positions were evaluated by tracking the rotations of the user's arm. Video protocol analysis was used to evaluate the user interface of a control panel in a refrigerator. Finally, we made several ergonomic design guidelines based on the facts found in this research and the anthropometric data of the Korean adults. The results of this study can be applied to the ergonomic design of a refrigerator.