Asian Transport Studies
Online ISSN : 2185-5560
ISSN-L : 2185-5560
Research Articles
Pedestrian Behavior Analysis using Smart Eyewear
Hironobu HASEGAWAHayato KONNOKohki KIKUCHITohru TAMURA
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2019 Volume 5 Issue 3 Pages 453-469

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Abstract

Recent developments in the field of sensor technology have been transforming the ways in which the traffic surveys are undertaken. This study aims to determine the behavior of a person walking to and from their school using data acquired by an acceleration sensor/gyroscope incorporated into the JINS MEME eyeglass-type device. The two main results of the study were as follows: 1) We devised a method for determining the walking behavior using eye- glass-type device equipped with sensors., 2) We developed a walking behavior discrimination model with a high discrimination ability, exhibiting an overall accuracy of 0.994 and an average accuracy of 0.914 for the validation data.

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© 2019 The Author(s) CC-BY 4.0
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