지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2022.12
- 수록면
- 547 - 559 (13page)
- DOI
- 10.5143/JESK.2022.41.6.547
이용수
초록· 키워드
오류제보하기
Objective: A novel method based on body shape for the generation of representative human models (RHMs) was proposed in the present study for ergonomic product design.
Background: RHMs of a particular population are required to satisfy the representativeness of a target population under consideration in ergonomic product design. A conventional RHM generation method based on key anthropometric dimensions has limitations in terms of the representativeness of RHMs and consistency between RHMs.
Method: This study proposed a method of shape-based percentile RHM generation using template-registered 3D body images. A point cluster containing all 3D body images of a particular vertex is projected on a vector passing the origin point and the average location of the point cluster; then, a percentile location of the point cluster is calculated. Then, a percentile RHM is generated by forming a triangular mesh structure based on the percentile locations of all the vertices. Lastly, the generated RHM is adjusted in terms of its size by referring to anthropometric measurements.
Results: The RHMs generated by the proposed method showed better representativeness for ergonomic product design as well as better morphological consistency between RHMs as compared to the conventional method.
Conclusion: Compared to the conventional method that chooses a few cases from a large number of 3D body scan images in a database, the proposed method uses all the 3D scan images in a database to generate RHMs.
Application: The proposed method can be applied for the ergonomic design of wearable products such as facial masks, glass-type or goggle-type products, industrial protective devices, sporting goods for athletes, medical prosthetics, and assistive tools.
Background: RHMs of a particular population are required to satisfy the representativeness of a target population under consideration in ergonomic product design. A conventional RHM generation method based on key anthropometric dimensions has limitations in terms of the representativeness of RHMs and consistency between RHMs.
Method: This study proposed a method of shape-based percentile RHM generation using template-registered 3D body images. A point cluster containing all 3D body images of a particular vertex is projected on a vector passing the origin point and the average location of the point cluster; then, a percentile location of the point cluster is calculated. Then, a percentile RHM is generated by forming a triangular mesh structure based on the percentile locations of all the vertices. Lastly, the generated RHM is adjusted in terms of its size by referring to anthropometric measurements.
Results: The RHMs generated by the proposed method showed better representativeness for ergonomic product design as well as better morphological consistency between RHMs as compared to the conventional method.
Conclusion: Compared to the conventional method that chooses a few cases from a large number of 3D body scan images in a database, the proposed method uses all the 3D scan images in a database to generate RHMs.
Application: The proposed method can be applied for the ergonomic design of wearable products such as facial masks, glass-type or goggle-type products, industrial protective devices, sporting goods for athletes, medical prosthetics, and assistive tools.
목차
1. Introduction
2. Precedent Works
3. Methods: Shape-Based Percentile Representative Model Generation
4. Case Study: Representative Head Models for Facial Mask Design
5. Discussion
6. Conclusion
References
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