Share Email Print
cover

Proceedings Paper

Developments of a force image algorithm for micromachined optical bend loss sensor
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

A flexible high-resolution sensor capable of measuring the distribution of both shear and pressure at the plantar interface are needed to study the actual distribution of this force during daily activities, and the role that shear plays in causing plantar ulceration. We have previously developed a novel means of transducing plantar shear and pressure stress via a new microfabricated optical system. However, a force image algorithm is needed to handle the complexity of construction of two-dimensional planar pressure and shear images. Here we have developed a force image algorithm for a micromachined optical bend loss sensor. A neural network is introduced to help identify different load shapes. According to the experimental result, we can conclude that once the neural network has been well trained, it can correctly identify the loading shape. With the neural network, our micromachined optical bend loss Sensor is able to construction the two-dimensional planar force images.

Paper Details

Date Published: 9 May 2005
PDF: 8 pages
Proc. SPIE 5768, Health Monitoring and Smart Nondestructive Evaluation of Structural and Biological Systems IV, (9 May 2005); doi: 10.1117/12.597381
Show Author Affiliations
Chu-Yu Huang, Univ. of Washington (United States)
Chao-Shih Liu, Univ. of Washington (United States)
Reynold Panergo, Univ. of Washington (United States)
Cheng-Sheng Huang, Univ. of Washington (United States)
Wei-Chih Wang, Univ. of Washington (United States)


Published in SPIE Proceedings Vol. 5768:
Health Monitoring and Smart Nondestructive Evaluation of Structural and Biological Systems IV
Tribikram Kundu, Editor(s)

© SPIE. Terms of Use
Back to Top