Pedestrian Behavior Analysis using Smart Eyewear
Pedestrian Behavior Analysis using Smart Eyewear
复制标题
使用智能眼镜进行行人行为分析
DOI：
10.11175/eastsats.5.453
复制
发表时间：
2019
影响因子：
--
通讯作者：
Tohru TAMURA
中科院分区：
文献类型：
--
作者：
Hironobu HASEGAWA;Hayato KONNO;Kohki KIKUCHI;Tohru TAMURA
传感器技术领域的最新发展正在改变进行交通调查的方式。这项研究旨在利用JINS表情包眼镜类设备中集成的加速度传感器/陀螺仪获取的数据来确定一个人步行上下学的行为。研究的两个主要结果如下：1)设计了一种使用带有传感器的眼镜式装置来确定行走行为的方法。2)建立了一个具有高分辨能力的行走行为判别模型，其总体准确率为0.994，验证数据的平均准确率为0.914。
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.