Browse

Adaptive step length estimation algorithm using optimal parameters and movement status awareness

Cited 0 time in Web of Science Cited 0 time in Scopus
Issue Date
2011-11
Publisher
Elsevier
Citation
Med Eng Phys 33 2011;33:1064-71
Keywords
Adaptive step length estimationOptimal parametersMovement status awarenessUbiquitous health monitoring
Abstract
An adaptive step length estimation algorithm operating with optimal parameters and a movement status
awareness algorithm are proposed. The proposed algorithm was developed as a means for increasing the
accuracy in estimating walking distances. The algorithm was applied to pedestrian navigation system,
ubiquitous health monitoring systems, and so forth. The algorithms optimal parameters were derived
after measurement errors were taken into consideration. The movement status awareness algorithm
was designed using a walking characteristic called the acceleration variance. After estimating a subjects
walking distance using the proposed algorithm, the measured error was 4.8% with respect to actual
walking distance. Alternatively, estimating a subjects walking distance without the algorithm yielded
an error of 20% with respect to actual walking distance.
ISSN
1350-4533
Language
English
URI
https://hdl.handle.net/10371/74435
Files in This Item:
There are no files associated with this item.
Appears in Collections:
College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Mechanical Aerospace Engineering (기계항공공학부)Others_기계항공공학부
  • mendeley

Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse