Wearable augmented reality system using an IrDA device and a passometer | Zendy

Ryuhei Tenmoku | Zendy; Masayuki Kanbara | Zendy; Naokazu Yokoya | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Wearable augmented reality system using an IrDA device and a passometer

Author(s) -

Ryuhei Tenmoku,

Masayuki Kanbara,

Naokazu Yokoya

Publication year - 2003

Publication title -

proceedings of spie, the international society for optical engineering/proceedings of spie

Language(s) - English

Resource type - Conference proceedings

SCImago Journal Rank - 0.192

H-Index - 176

eISSN - 1996-756X

pISSN - 0277-786X

DOI - 10.1117/12.474072

Subject(s) - augmented reality , wearable computer , computer science , orientation (vector space) , compass , position (finance) , inertial measurement unit , wearable technology , virtual reality , computer vision , range (aeronautics) , computer graphics (images) , artificial intelligence , embedded system , engineering , geometry , mathematics , cartography , finance , aerospace engineering , economics , geography

Stereoscopic Displays and Virtual Reality Systems XII , Jan 21-23, 2003 , Santa Clara, CA, USAThis paper describes a wearable augmented reality system with an IrDA device and a passometer. To realize augmented reality systems, the position and orientation of user's viewpoint should be obtained in real time for aligning the real and virtual coordinate systems. In the proposed system, the orientation of user's viewpoint is measured by an inertial sensor attached to the user's glasses, and the position is measured by using an IrDA device and a passometer. First, the user's position is specified exactly when the user comes into the infrared ray range of the IrDA markers which are set up to the appointed points. When the user goes out of the infrared ray range, the user's position is estimated by using a passometer. The passometer is constructed of an electronic compass and acceleration sensors. The former can detect the user's walking direction. The latter can count how many steps the user walks. These data and the user's pace make it possible to estimate the user's position in the neighborhood of the IrDA markers. We have developed a navigation system based on using the techniques above and have proven the feasibility of the system with experiments

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research