ID'em

Author:

Chadalavada Perumal Varun1,Palaniappan Goutham1,Chandran Vimal Kumar1,Truong Khai1,Wigdor Daniel1

Affiliation:

1. University of Toronto, Ontario, Canada

Abstract

We present ID'em, a novel tagging and localization method that employs an array of Inductive Sensors to 'image' patterns of electrically conductive dots that are embedded underneath the surfaces of materials that cover the environments that we inhabit. ID'em addresses drawbacks found with existing tagging/localization technologies, while drawing on some of their attributes and strengths, thus creating a cost-effective, scalable system that is robust enough to be deployed pervasively. We present a detailed description of the system, applications that leverage ID'em's unique affordances, and address ID'em's strengths and limitations. With ID'em, we envision a future where the materials that we use to cover and build our everyday environments come imbued with information that can provide valuable context for rich, diverse interactions and capabilities.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture,Human-Computer Interaction

Reference61 articles.

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2. WiFi localization and navigation for autonomous indoor mobile robots

3. Roll-to-Roll Processes for the Manufacturing of Patterned Conductive Electrodes on Flexible Substrates

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