Personal positioning based on walking locomotion analysis with self-contained sensors and a wearable camera

被引：123

作者：

Kourogi, M ^{[1
]}

Kurata, T ^{[1
]}

机构：

[1] Natl INst Adv Ind Sci & Technol, AIST, Tsukuba, Ibaraki 3058568, Japan

来源：

SECOND IEEE AND ACM INTERNATIONAL SYMPOSIUM ON MIXED AND AUGMENTED REALITY, PROCEEDINGS | 2003年

关键词：

personal positioning; pedometer; human walking analysis; sensor fusion;

D O I：

10.1109/ISMAR.2003.1240693

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we propose a method of personal positioning for a wearable Augmented Reality (AR) system that allows a user to freely move around indoors and outdoors. The user is equipped with self-contained sensors, a wearable camera, an inertial head tracker and display. The method is based on sensor fusion of estimates for relative displacement caused by human walking locomotion and estimates for absolute position and orientation within a Kalman filtering framework. The former is based on intensive analysis of human walking behavior using self-contained sensors. The latter is based on image matching of video frames from a wearable camera with an image database that was prepared beforehand.

引用

页码：103 / 112

页数：10

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