Chong, Albert and Newsham-West, Richard and Milburn, Peter (2009) 3D photogrammetric analysis of the load-bearing foot. In: ISB 2009: XXII Congress of the International Society of Biomechanics , 5-9 Jul 2009, Cape Town, South Africa.
Surpisingly, little is know about how the foot carries load while walking. Motion of the bones or shape of the foot during load-bearing has been studied using video fluoroscopy, laser scanning phtogrammetry or modelled from static poses using finite element techniques. Also, pressure under the foot is regularly measured, but how the plantar surface changes during weight-bearing is unknown despite being relevant to shoe design and orthothic prescriiption for the normal and pathological foot.
Close-range photogrammetry (CRP) has been used extensively in medical applications, such as craniofacial mapping and scoliosis screening to obtain three-dimensional data and provides a feasible method for measuring the plantar surface of the foot during gait. Advantages of this method over existing imaging techniques are that it is (i) non-contact and non-invasive, (ii) provides instantaneous imaging, (iii) is highly accurate, and (iv) allows for dynamic analysis of structures. This paper presents the development and application of a novel CRP technique for studying 3D shape of the plantar surfuace of the foot during gait.
Statistics for this ePrint Item
|Item Type:||Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)|
|Publisher:||International Society of Biomechanics|
|Item Status:||Live Archive|
|Additional Information (displayed to public):||No evidence of copyright restrictions. Abstract only, as made available here, published in conference proceedings.|
|Depositing User:||Dr Albert Kon-Fook Chong|
|Faculty / Department / School:||Historic - Faculty of Engineering and Surveying - Department of Surveying and Land Information|
|Date Deposited:||30 Jun 2010 04:46|
|Last Modified:||06 Jul 2014 23:06|
|Uncontrolled Keywords:||foot; load; photogrammetric analysis|
|Fields of Research (FoR):||09 Engineering > 0903 Biomedical Engineering > 090302 Biomechanical Engineering
11 Medical and Health Sciences > 1106 Human Movement and Sports Science > 110699 Human Movement and Sports Science not elsewhere classified
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080106 Image Processing
|Socio-Economic Objective (SEO):||E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering|
Actions (login required)
|Archive Repository Staff Only|