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

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 selfcontained 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

A Wearable Augmented Reality System with Personal Positioning Based on Walking Locomoition Analysis

In this paper, we present a wearable Augmented Reality (AR) system with personal positioning based on walking locomotion analysis 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 system is based on the 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

Economic and Synergistic Pedestrian Tracking System for Indoor Environments

Abstract—We describe an indoor pedestrian tracking system that can economically improve the tracking performance and the quality and value of services by incorporating other services synergistically. Our tracking system utilizes existing infrastructures to be used for security services such as surveillance cameras and active RFID tags which are sparsely put in place and generally used in plants, offices, and commercial facilities for estimating user’s walking parameters and correction of tracking errors without significantly increasing costs, and realizes the improvement of the tracking performance by them. Furthermore, by sharing not only surveillance videos and RFID signals from security services but also the tracking information and models from 3D environment modeling services among services, each service can enhance the quality and value of the service and relatively reduce the costs for creating the data and realizing functions

A pilot user study on 3-D museum guide with route recommendation using a sustainable positioning system

Abstract: We describe our 3-D museum guide system and the pilot study we did to evaluate it. The prototype system used in the pilot study uses a human positioning system based on dead reckoning, active RFIDs, and map matching. The system manages content consisting of 3-D maps, recommended routes, and Flash files to provide appropriate navigation information based on estimated user position, azimuth, and history. The pilot study was conducted at the Science Museum. We got useful feedback from participants about 3-D maps, recommended routes, etc