TouchCounters: designing interactive electronic labels for physical containers
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Finding objects in "strata drawer"
CHI '03 Extended Abstracts on Human Factors in Computing Systems
A support system for finding lost objects using spotlight
Proceedings of the 7th international conference on Human computer interaction with mobile devices & services
Integration of virtual and real document organization
Proceedings of the 2nd international conference on Tangible and embedded interaction
IteMinder: finding items in a room using passive RFID tags and an autonomous robot (poster)
Proceedings of the 13th international conference on Ubiquitous computing
DrawerBrowser: practical picture browser for finding items in drawers
Proceedings of the 13th international conference on Ubiquitous computing
JewelryStudio: system for capturing/browsing pictures of jewelry from multiple viewpoints
Proceedings of the International Working Conference on Advanced Visual Interfaces
Find my stuff: a search engine for everyday objects
Proceedings of the 11th International Conference on Mobile and Ubiquitous Multimedia
Find my stuff: supporting physical objects search with relative positioning
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
The furniture of ubiquitous computing
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
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We propose a novel search technique called DrawerFinder that helps users find commodities stored in two types of storage boxes (with drawers or lids) on a shelf. First, we attach visual markers inside these storage boxes. When a user opens a box, a camera attached above the shelf detects the visual marker and the system automatically takes a picture. Next, the picture is automatically uploaded to an online database tagged with the box ID. Users can then browse these pictures using a PC or cellular phone equipped with a common web browser. We believe our system helps users find items in boxes efficiently as they can browse both pictures of boxes and the surrounding environment (e.g., who last opened the storage box) quickly.