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Automated design of affordable modular custom insoles by multi-classification algorithms

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Custom designed insoles are a niche product that is not always affordable to all who need them. When commercial insoles are fabricated using advanced technologies, the insoles in this study are assembled out of pre-cut modular components to keep the production cost down, hence their price. In this study, algorithms driven by a fuzzy inference were proposed in comparison with a decision tree in order to select the best component combination. One hundred and twelve subjects were recruited to collect foot data extracted from their foot images. Approximately 95% of 182 AI-designed insole pads were found in perfect agreement with the professional podiatrist’s decision with acceptable 5% deviation. Differences in the algorithms’ strength were also discussed. In addition to their superior performance, both algorithms allow the podiatrists to speed up the diagnosis and design phases. This approach, when integrated with applications of mobile devices for remotely retrieving foot data, will expand another simple yet effective customer-oriented product design service.
Wydawca
Rocznik
Tom
Strony
151--161
Opis fizyczny
Bibliogr. 29 poz., rys., tab
Twórcy
  • Prince of Songkla University Faculty of Engineering Department of Industrial Engineering HatYai, Songkhla, 90112, Thailand
  • Prince of Songkla University Faculty of Engineering Department of Industrial Engineering HatYai, Songkhla, 90112, Thailand; Tel: +66 74 287159; +66 89 7336639 Fax: +66 74 287026
  • Prince of Songkla University Faculty of Medicine Department of Orthopedic Surgery and Physical Therapy HatYai, Songkhla, 90112, Thailand
  • King Mongkut’s Institute of Technology Ladkrabang Faculty of Engineering, Department of Industrial Engineering, Bangkok, 10540, Thailand
  • Prince of Songkla University Faculty of Engineering Department of Industrial Engineering HatYai, Songkhla, 90112, Thailand
  • Prince of Songkla University Faculty of Engineering Department of Civil Engineering HatYai, Songkhla, 90112, Thailand
Bibliografia
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Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-66d969fb-a5ce-449e-94ff-8451d21625dd
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