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OptiFit: Computer-Vision-Based Smartphone Application to Measure the Foot from Images and 3D Scans.
Rafiq, Riyad Bin; Hoque, Kazi Miftahul; Kabir, Muhammad Ashad; Ahmed, Sayed; Laird, Craig.
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  • Rafiq RB; Department of Computer Science and Engineering, University of North Texas, Denton, TX 76203-5017, USA.
  • Hoque KM; Department of Computer Science and Engineering, Chittagong University of Engineering and Technology, Chottogram 4349, Bangladesh.
  • Kabir MA; School of Computing, Mathematics and Engineering, Charles Sturt University, Bathurst, NSW 2795, Australia.
  • Ahmed S; School of Health and Human Sciences, Southern Cross University, East Lismore, NSW 2480, Australia.
  • Laird C; Foot Balance Technology Pty. Ltd., Westmead, NSW 2145, Australia.
Sensors (Basel) ; 22(23)2022 Dec 06.
Article en En | MEDLINE | ID: mdl-36502254
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Zapatos / Pie Tipo de estudio: Guideline Límite: Female / Humans / Male Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Zapatos / Pie Tipo de estudio: Guideline Límite: Female / Humans / Male Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos