By Topic

Evaluating different footprints parameters as a predictor of arch height

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Tzyy-Yuang Shiang ; Inst. of Couching Sci., Nat. Coll. of Phys. Educ. & Sports, Tao-Yuan, Taiwan ; Shin-Hwa Lee ; Shwn-Jen Lee ; Woei Chyn Chu

Some controversies still exist concerning the validity and efficacy of using footprint parameters to predict arch height. Some investigators have disputed the ability of using the footprint to characterize arch types, since factors other than arch height may contribute to the footprint. Chu and coworkers (1995) used a digital approach and included pressure information with AI, which they termed the modified arch index (MAI). Their results showed that significant correlation existed between the arch height and both the MAI (r=-0.71) and the AI (r=-0.70). The causes of the above-mentioned controversy have been believed to be due to errors introduced during the footprint acquisition and parameter extraction phases. The purpose of this study was to use the same digital approach as Chua to determine whether correlation existed between arch height and the other eight footprint parameters besides the MAI and AI. The objective of classifying foot arch type is to help people with abnormal foot structure prevent injury, and to help athletes enhance performance. The main purpose of footprint parameters is to provide an easily accessible and valid approach to reach this objective

Published in:

IEEE Engineering in Medicine and Biology Magazine  (Volume:17 ,  Issue: 6 )