3D foot prediction method for low cost scanning |
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| Affiliation: | 1. The Institution of Textiles and Clothing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong;1. Engineering & Control Technology Branch, National Institute for Occupational Safety and Health, Morgantown, WV 26505, USA;2. Biodynamics Laboratory, University of Connecticut Health Center, Farmington, CT 06030-2017, USA;1. Department of Mechanical Engineering, Aligarh Muslim University, Aligarh, UP 202002, India;2. Ergonomics Research Division, Department of Mechanical Engineering, Aligarh Muslim University, Aligarh, UP 202002, India;1. Toronto Rehabilitation Institute, Toronto, ON, Canada;2. Depart of Mechanical and Aerospace Engineering, Carleton University, Ottawa, ON, Canada;3. Faculty of Kinesiology, University of New Brunswick, Fredericton, NB, Canada;4. School of Human Kinetics and Recreation, Memorial University of Newfoundland, St. John''s, NL, Canada;1. Department of Design, Faculty of Architecture, Arts and Communication, UNESP-Univ Estadual Paulista, Bauru, SP, Brazil;2. Programme of Post Graduation in Design, UNESP-Univ Estadual Paulista, Bauru, SP, Brazil;3. Department of Mechanical Engineering, Sao Carlos School of Engineering, University of Sao Paulo, SP, Brazil;4. Department of Neuroscience and Behavioral Sciences, University of Sao Paulo, Ribeirao Preto, SP, Brazil;5. Programme of Post Graduation Interunits in Bioengineering, University of Sao Paulo, Sao Carlos, SP, Brazil;1. School of Industrial Management Engineering, Korea University, 5-1, Anam-Dong, Sungbuk-Gu, Seoul 136-713, Republic of Korea;2. Department of Weapons Systems Engineering, Korea Military Academy, P.O.B. No.77, Gongneung-Dong, Nowon-Gu, Seoul 139-799, Republic of Korea |
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| Abstract: | With the rapid development of CAD/CAM technology and information technology, it is becoming possible to satisfy the quality, fit and comfort requirements of footwear design and manufacturing. In the footwear industry, although there are availability of design and manufacture technologies to fulfill the desired requirements, the current methods are very expensive. Cheap and accurate scanners are needed at the retail shop to acquire 3D foot shape information. This paper proposes a prediction method to model foot shapes through scaling a standard foot by using limited parameters. The accuracy of different number of parameters have been evaluated. Given that commercial expensive scanner accuracy range from 0.5 to 1 mm, in order to predict 3D foot shape to an accuracy of around 0.75 mm, foot outline, foot profile, two foot sections and standard foot model were required. The mean modeling errors were 0.76 mm and 0.75 mm of the right foot and left foot respectively. Results indicate that if more sections are used the modeling error decreases but this will increase the cost of the scanner and the computational complexity. This method provides a cost effective method to substitute expensive 3D foot scanners that usually use laser-based technology.Relevance to industry: This method provides the core algorithm for the development of low cost 3D foot scanners for footwear mass-customization. CCD cameras can be used to capture foot profile and outline, while fixed line laser can be used to obtain two key sections. This method reduces the need for expensive linear gears and optical systems. |
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| Keywords: | Foot model 3D modeling Deformation Footwear Prediction modeling Foot scanning |
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