Motion based Adaptive Step Length Estimation using Smartphone

Title
Motion based Adaptive Step Length Estimation using Smartphone
Authors
이정호신범주이석박진우김재헌김철기이택진
Keywords
Step Length; Smartphone; Motion; navigation; healthcare
Issue Date
2014-06
Publisher
IEEE ISCE 2014
Abstract
This paper presents a motion recognition based step length estimation algorithm using smartphone. Motion of a user is identified based on the hybrid model of Decision Tree (DT), Artificial Neural Network (ANN) and Support Vector Machine (SVM). The parameters of linear combination based step length model are adapted based on the result motion recognition. In order to verify the proposed algorithm, we performed experiments on 5 subjects and showed accuracy of step length estimation as RMSE.
URI
http://pubs.kist.re.kr/handle/201004/47803
Appears in Collections:
KIST Publication > Conference Paper
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