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Manikin families representing obese airline passengers in the US.
Park, Hanjun,Park, Woojin,Kim, Yongkang Multi-Science Pub 2014 Journal of healthcare engineering Vol.5 No.4
<P>Aircraft passenger spaces designed without proper anthropometric analyses can create serious problems for obese passengers, including: possible denial of boarding, excessive body pressures and contact stresses, postural fixity and related health hazards, and increased risks of emergency evacuation failure. In order to help address the obese passenger's accommodation issues, this study developed male and female manikin families that represent obese US airline passengers. Anthropometric data of obese individuals obtained from the CAESAR anthropometric database were analyzed through PCA-based factor analyses. For each gender, a 99% enclosure cuboid was constructed, and a small set of manikins was defined on the basis of each enclosure cuboid. Digital human models (articulated human figures) representing the manikins were created using a human CAD software program. The manikin families were utilized to develop design recommendations for selected aircraft seat dimensions. The manikin families presented in this study would greatly facilitate anthropometrically accommodating large airline passengers.</P>
A Review on Object Manipulation Techniques in Virtual Environments and their Performance Metrics
Jaemoon Jung,Hanjun Park,Dongwook Hwang,Minseok Son,Donghyun Beck,Jungmin Park,Woojin Park 대한인간공학회 2013 대한인간공학회 학술대회논문집 Vol.2013 No.5
Objective: The aim of this paper is to classify and characterize the existing interaction methods regarding object manipulation in virtual reality environment. Background: Over the past few decades, the field of virtual reality has gone through rapid advances and various virtual object manipulation techniques have been developed. However, an established classification of the existing object manipulation techniques does not seem available at this point. A systematic review of the advances during the past three decades and a classification of the existing object manipulation techniques based on it would help researchers prospect the future of human-machine interaction in virtual environments and further formulate future research directions for virtual object manipulation. Method: We collected and examined studies that are related to virtual reality and virtual object manipulation. The collected studies were reviewed in chronological order, and virtual object manipulation techniques were identified. Then, the existing virtual object manipulation techniques were sorted into categories according to similarities and each category was characterized. Additionally, this study reviewed the existing performance metrics for evaluating virtual object manipulation techniques. Application: This paper will aid in ameliorating the understanding of the existing virtual object manipulation techniques, and furthermore, offer directions to the future researchers in this field.
박재석 ( Jaeseok Park ),정재권 ( Jaekwon Jung ),김현수 ( Hyunsoo Kim ),박창근 ( Changkeun Park ),김대진 ( Daejin Kim ),이재광 ( Jaekwang Lee ),류한준 ( Hanjun Ryu ) 대한내과학회 2021 대한내과학회지 Vol.96 No.2
On 11 February, 2020, the World Health Organization announced that COVID-19 was a novel coronavirus disease first detected in Wuhan, Hubei Province, China. COVID-19 is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The complete clinical picture is not fully known. Illness ranges from mild to fatal. The common symptoms include fever, cough, and dyspnea usually developing 2-14 days after exposure. However, diarrhea was present in a few patients with COVID-19. We report a case of COVID-19 mimicking acute colitis. (Korean J Med 2021;96:143-146)
Deep learning-based scalable and robust channel estimator for wireless cellular networks
Anseok Lee(Anseok Lee),Yongjin Kwon(Yongjin Kwon),Hanjun Park(Hanjun Park),Heesoo Lee(Heesoo Lee) 한국전자통신연구원 2022 ETRI Journal Vol.44 No.6
In this paper, we present a two-stage scalable channel estimator (TSCE), a deep learning (DL)-based scalable, and robust channel estimator for wireless cellular networks, which is made up of two DL networks to efficiently support different resource allocation sizes and reference signal configurations. Both networks use the transformer, one of cutting-edge neural network architecture, as a backbone for accurate estimation. For computation-efficient global feature extractions, we propose using window and window averaging-based self-attentions. Our results show that TSCE learns wireless propagation channels correctly and outperforms both traditional estimators and baseline DL-based estimators. Additionally, scalability and robustness evaluations are performed, revealing that TSCE is more robust in various environments than the baseline DL-based estimators.
황동욱(Dongwook Hwang),손민석(Minseok Son),정재문(Jaemoon Jung),박한준(Hanjun Park),박우진(Park, Woojin Park) 한국HCI학회 2013 한국HCI학회 학술대회 Vol.2013 No.1
장애인 보조기기 설계 문제들은 일반적으로 개인 사용자를 위한 맞춤형 설계를 요구하고, 많은 제약조건을 포함하며, 문제의 신속한 해결이 중요시되는 어려운 문제들이다. 따라서 설계자들의 창의성과 문제 해결 능력의 발휘를 지원하여 설계의 효율성과 질을 극대화 시킬 수 있는 설계 방법의 개발이 필요하다. 본 연구에서는 보조기기 설계 문제 해결을 지원하는 새로운 설계 방법으로서 Data-based Assistive Device Design (DADD)라고 명명된 새로운 설계 방법을 개발하였다. DADD 의 활용을 위해서는 기존 장애인 보조기기에 대한 서술/묘사를 저장하고 있는 Design Reference Database 가 필요하다. 설계 문제가 주어지면 설계자는 주어진 문제에 관련된 기존 기기들을 추출하고 그 설계 원리들을 분석하여 이를 주어진 문제에 적용하는 과정을 거쳐 새로운 설계 대안들을 생성한다. The design of assistive devices is subject to multiple challenges: the design problems are mostly case-specific and require customized design solutions. Many design problems are highly constrained, and thus, straightforward solutions are difficult to identify. Yet, rapid generation of viable solutions is important for the quality of life of the affected disabled persons. Therefore, developing effective and efficient design methods that boost designers’creativity and problem solving capabilities, and henceforth, support rapid generation of high quality design alternatives is needed. The current study proposes a new design method termed Data-based Assistive Device Design (DADD). DADD requires a large design reference database (DRDB) that stores descriptions of existing assistive devices. For a given design problem, the DRDB is searched to find examples of existing assistive devices that may relate to the given problem. The designer analyzes the retrieved design references to understand the underlying design principles and relates them to the given problem in order to conceive design concepts.
Donghyun Beck,Dongwook Hwang,Minseok Son,Jaemoon Jung,Hanjun Park,Juhee Park,Woojin Park 대한인간공학회 2013 대한인간공학회 학술대회논문집 Vol.2013 No.10
Objective: The aim of this paper is to classify and characterize the existing physical stress evaluation methods related to the ergonomics analyses of computer input devices. Background: Over the past few decades, the field of computer input device design has gone through rapid advances and various physical stress evaluation methods have been developed. However, an established classification of the existing physical stress evaluation techniques does not seem available at this point. A systematic review of the advances during the past three decades and a classification of the physical stress evaluation methods based on it would help researchers to better plan and perform physical stress evaluation for different input devices to be developed. Method: We collected and examined the studies that are related to the ergonomic design and evaluation of input devices such as keyboard, mouse, joystick, trackball, touchscreen, etc. The collected studies were reviewed with a focus on the methodology used for physical stress evaluation and different physical stress evaluation methods were identified. Then, the physical stress evaluation methods were sorted into categories according to similarities and each category was characterized in terms of purpose, strengths and limitations. Application: This paper will help researchers and practitioners understand the existing physical stress evaluation methods and thereby better plan and perform studies for physical stress evaluation of input devices.