SHERP

A Movement-Classification Algorithm for Pedestrian using Foot-Mounted IMU

Cited 0 time in webofscience Cited 0 time in scopus
Authors
Lee, Minsu; Park, Changook; Shim, Chloe W.
Issue Date
2012-01-31
Publisher
2012 ION ITM
Citation
2012 ION ITM
Abstract
In this paper we present a PDR (Pedestrian Dead Reckoning) algorithm which uses characteristic features to identify different motions and eventually develop a classification algorithm for such motions. We used a single IMU sensor which imbedded at the pedestrian’s right foot. PDR is a device which provides position information of the pedestrian. Possible area of application for PDR is detecting the motions of rescuers or squads and locating their real-time spatial coordinates to enhance their rescuing and escaping. However, PDR in its original configuration and algorithm is not able to differentiate distinct motions such as running from plain walking, a function is required to accurately detect the motion of firefighters, who frequently crawl, climb up and down, squat, and run depending on the situation. Thus, we developed an algorithm for distinguish such motions using some significant features. Some tests are conducted in laboratory and verified result of our algorithm.
Language
English
URI
http://hdl.handle.net/10371/75257
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