The helmet fit index - an intelligent tool for fit assessment and design customization
Helmet safety benefits are reduced if the headgear is poorly fitted on the wearer's head. At present, there are no industry standards available to assess objectively how a specific protective helmet fits a particular person. A proper fit is typically defined as a small and uniform distance betw...
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| Format: | Article |
| Language: | en |
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Elsevier
2016
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| Online Access: | http://eprints.uthm.edu.my/3164/1/AJ%202019%20%28115%29.pdf http://eprints.uthm.edu.my/3164/ http://dx.doi.org/10.1016/j.apergo.2016.02.008 |
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| _version_ | 1833417268015398912 |
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| author | Ellena, Thierry Subic, Aleksandar Mustafa, Helmy Toh, Yen Pang |
| author_facet | Ellena, Thierry Subic, Aleksandar Mustafa, Helmy Toh, Yen Pang |
| author_sort | Ellena, Thierry |
| building | UTHM Library |
| collection | Institutional Repository |
| content_provider | Universiti Tun Hussein Onn Malaysia |
| content_source | UTHM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Helmet safety benefits are reduced if the headgear is poorly fitted on the wearer's head. At present, there are no industry standards available to assess objectively how a specific protective helmet fits a particular person. A proper fit is typically defined as a small and uniform distance between the helmet liner and the wearer's head shape, with a broad coverage of the head area. This paper presents a novel method to investigate and compare fitting accuracy of helmets based on 3D anthropometry, reverse engineering techniques and computational analysis. The Helmet Fit Index (HFI) that provides a fit score on a scale from 0 (excessively poor fit) to 100 (perfect fit) was compared with subjective fit assessments of surveyed cyclists. Results in this study showed that quantitative (HFI) and qualitative (participants' feelings) data were related when comparing three commercially available bicycle helmets. Findings also demonstrated that females and Asian people have lower fit scores than males and Caucasians, respectively. The HFI could provide detailed understanding of helmet efficiency regarding fit and could be used during helmet design and development phases. |
| format | Article |
| id | my.uthm.eprints-3164 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | en |
| publishDate | 2016 |
| publisher | Elsevier |
| record_format | eprints |
| spelling | my.uthm.eprints-31642021-11-16T07:24:16Z http://eprints.uthm.edu.my/3164/ The helmet fit index - an intelligent tool for fit assessment and design customization Ellena, Thierry Subic, Aleksandar Mustafa, Helmy Toh, Yen Pang TL1-484 Motor vehicles. Cycles Helmet safety benefits are reduced if the headgear is poorly fitted on the wearer's head. At present, there are no industry standards available to assess objectively how a specific protective helmet fits a particular person. A proper fit is typically defined as a small and uniform distance between the helmet liner and the wearer's head shape, with a broad coverage of the head area. This paper presents a novel method to investigate and compare fitting accuracy of helmets based on 3D anthropometry, reverse engineering techniques and computational analysis. The Helmet Fit Index (HFI) that provides a fit score on a scale from 0 (excessively poor fit) to 100 (perfect fit) was compared with subjective fit assessments of surveyed cyclists. Results in this study showed that quantitative (HFI) and qualitative (participants' feelings) data were related when comparing three commercially available bicycle helmets. Findings also demonstrated that females and Asian people have lower fit scores than males and Caucasians, respectively. The HFI could provide detailed understanding of helmet efficiency regarding fit and could be used during helmet design and development phases. Elsevier 2016 Article PeerReviewed text en http://eprints.uthm.edu.my/3164/1/AJ%202019%20%28115%29.pdf Ellena, Thierry and Subic, Aleksandar and Mustafa, Helmy and Toh, Yen Pang (2016) The helmet fit index - an intelligent tool for fit assessment and design customization. Applied Ergonomics, 55. pp. 194-207. ISSN 0003-6870 http://dx.doi.org/10.1016/j.apergo.2016.02.008 |
| spellingShingle | TL1-484 Motor vehicles. Cycles Ellena, Thierry Subic, Aleksandar Mustafa, Helmy Toh, Yen Pang The helmet fit index - an intelligent tool for fit assessment and design customization |
| title | The helmet fit index - an intelligent tool for fit assessment and design customization |
| title_full | The helmet fit index - an intelligent tool for fit assessment and design customization |
| title_fullStr | The helmet fit index - an intelligent tool for fit assessment and design customization |
| title_full_unstemmed | The helmet fit index - an intelligent tool for fit assessment and design customization |
| title_short | The helmet fit index - an intelligent tool for fit assessment and design customization |
| title_sort | helmet fit index - an intelligent tool for fit assessment and design customization |
| topic | TL1-484 Motor vehicles. Cycles |
| url | http://eprints.uthm.edu.my/3164/1/AJ%202019%20%28115%29.pdf http://eprints.uthm.edu.my/3164/ http://dx.doi.org/10.1016/j.apergo.2016.02.008 |
| url_provider | http://eprints.uthm.edu.my/ |