Ubiquitous Computing, Inductive Sensing, Smart materials
ID'em: Inductive Sensing for Embedding and Extracting Information in Robust Materials
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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
ID’em uses an array of inductive sensors as shown below, this array is able to detect the location of conductive dots that are embedded into materials to extract ID and location information.
Example of ID’em tags embedded into carpet liner
ID’em tags can be completely transparent making unobtrusive tagging possible. These tags are made from Indium Tin Oxide Patterns
