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Digital Human Model Simulation을 위한 RAMSIS 추정 운전자세의 정합성 평가 및 개선
박장운(Jangwoon Park),정기효(Kihyo Jung),장준호(Joonho Chang),권정웅(Jeongung Kwon),유희천(Heecheon You) 대한산업공학회 2010 산업공학 Vol.23 No.2
For proper ergonomic evaluation using a digital human model simulation (DHMS) system such as RAMSIS<SUP>®</SUP>, the postures of humanoids for designated tasks need to be predicted accurately. The present study (1) evaluated the accuracy of driving postures of humanoids predicted by RAMSIS, (2) proposed a method to improve its accuracy, and (3) examined the effectiveness of the proposed method. The driving postures of 12 participants in a seating buck were measured by a motion capture system and compared with their corresponding postures predicted by RAMSIS. Significant discrepancies (8.7° to 74.9°) between predicted and measured postures were observed for different body parts and driving tasks. Two methods (constraints addition and user-defined posture) were proposed and their effects on posture estimation accuracy were examined. Of the two proposed methods, the user-defined posture method was found preferred, reducing posture estimation errors by 11.5% to 84.9%. Both the posture prediction accuracy assessment protocol and user-defined posture method would be of use for practitioners to improve the accuracy of predicted postures of humanoids in virtual environments.
관성 센서를 활용한 하지 재활 외골격 로봇의 보행 분석
박재현(Jaehyun Park),김정윤(Jungyoon Kim),박장운(Jangwoon Park),김현경(Hyun K. Kim),김나형(Nahyeong Kim) 대한인간공학회 2021 대한인간공학회 학술대회논문집 Vol.2021 No.11
Objective: 본 연구에서는 하지 재활을 위한 외골격 로봇의 보행을 분석하였다. 로봇을 활용한 보행의 움직임이 얼마나 자연스러운지 확인하기 위하여 로봇을 착용하지 않은 상태에서의 보행과 비교하였다. Background: 보행 재활에는 일반 물리 치료사가 지팡이와 같은 보조 기구를 사용하여 진행하는 것부터 시작하여 기계 장치가 물리적으로 걸을 수 있게 도와주는 것까지 다양한 방법이 현존하고 있다. 외골격 로봇을 통한 방법은 비교적 최근에 개발되고 있는 것으로써 장기적으로 수용되기 위해서는 확실한 안전성이 확보될 필요가 있다. Method: 총 6명의 일반 참여자가 외골격 로봇을 착용한 상태, 그리고 착용하지 않은 상태에서 보행 작업을 수행하도록 하고, 이 과정에서 데이터는 관성 센서로부터 수집하였다. 이로부터 고관절, 무릎, 발목 등의 움직임을 수치화하였다. Results: 분석 결과, 외골격 로봇을 통한 보행과 일반 보행 사이에 차이가 있음을 확인하였다. Conclusion: 본 연구에서 활용된 외골격 로봇의 특수성을 감안하였을 때, 본 연구의 결과는 외골격 로봇의 개발에 있어서 외골격 로봇을 통한 보행과 일반 보행 사이의 괴리감을 줄여주는 방법론을 제안한 것에 의의가 있다.
가상 환경 상의 헬리콥터 조종실 설계를 위한 정량적인 인간공학적 평가 방법 개발
정기효(Kihyo Jung),박장운(Jangwoon Park),이원섭(Wonsup Lee),강병길(Byunggil Kang),엄주호(Jooho Uem),박세권(Seikwon Park),유희천(Heecheon You) 대한인간공학회 2010 大韓人間工學會誌 Vol.29 No.2
For the development of a better product which fits to the target user population, physical workloads such as reach and visibility are evaluated using digital human simulation in the early stage of product development; however, ergonomic workload assessment mainly relies on visual observation of reach envelopes and view cones generated in a 3D graphic environment. The present study developed a quantitative assessment method of physical workload in a digital environment and applied to the evaluation of a Korean utility helicopter (KUH) cockpit design. The proposed assessment method quantified physical workloads for the target user population by applying a 3-step process and identified design features requiring improvement based on the quantified workload evaluation. The scores of physical workloads were quantified in terms of posture, reach, visibility, and clearance, and 5-point scales were defined for the evaluation measures by referring to existing studies. The postures of digital humanoids for a given task were estimated to have the minimal score of postural workload by finding all feasible postures that satisfy task constraints such as a contact between the tip of the index finger and a target point. The proposed assessment method was applied to evaluate the KUH cockpit design in the preliminary design stage and identified design features requiring improvement. The proposed assessment method can be utilized to ergonomic evaluation of product designs using digital human simulation.
사성진(Sungjin Sah),박장운(Jangwoon Park),이백희(Baekhee Lee),유희천(Heecheon You),김석환(Seokhwan Kim),김기남(Kinam Kim),편종권(Jongkwon Pyun) 한국자동차공학회 2010 한국자동차공학회 학술대회 및 전시회 Vol.2010 No.11
Objective-To confirm the limits of previous comfort prediction models based on seat pressure distribution data and find occupants’ own sitting strategy in vehicle and the effects of different package layout data on sitting posture. Method-Pressure distribution data were measured about 40 subjects under condition of each three packages; represent the seat package layout about sedan, coupe and SUV. In tests, subjects adjusted seat position, back and cushion angle and lumbar support prominence height using all controllers in mounted seat on mock-up. Results-Based on measured pressure distribution data, this study classified sitting strategy as lumbar, dorsal and dorsal scapular strategy. And, there are no significant changes six pressure ratio obtained by division of seat area under condition of different package layout (P>0.01). Conclusion-Occupants have their own sitting strategy and it’s affected on package layout data. It need to develop new posture prediction model based on sitting strategy for increasing usability of pressure distribution and more precise posture prediction.