The Pedestrian Step Length Estimation Algorithm using Smart Phone based Motion Recognition

Title
The Pedestrian Step Length Estimation Algorithm using Smart Phone based Motion Recognition
Authors
이정호신범주김재헌김철기이석박진우이택진
Keywords
Step length estimation; map data; sensor calibration; motion recognition
Issue Date
2013-11
Publisher
2013 KGS conference
Abstract
In this paper, we propose a motion recognition based step length estimation algorithm using a smart phone. In smart phone usage environment, there are a lot of motions and output patterns of sensors are differentiated according to each motion. In order to reduce the effect of motion on the accuracy of step length estimation, we identified the motion of pedestrian using the sensory functions of a smart phone. By adapting the parameters on step length estimation algorithm, proper process of step length estimation for each motion is conducted. The gait characteristic of pedestrian is analyzed using the map data based in-flight calibration process for accurate step length estimation. In order to verify the proposed step length estimation algorithm, we performed experiments in indoor corridors to demonstrate its improved accuracy.
URI
http://pubs.kist.re.kr/handle/201004/46676
Appears in Collections:
KIST Publication > Conference Paper
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE