LANDMARC: indoor location sensing using active RFID
Wireless Networks - Special issue: Pervasive computing and communications
A support system for finding lost objects using spotlight
Proceedings of the 7th international conference on Human computer interaction with mobile devices & services
MAX: human-centric search of the physical world
Proceedings of the 3rd international conference on Embedded networked sensor systems
Proceedings of the 8th international ACM SIGACCESS conference on Computers and accessibility
Experimental comparison of RSSI-based localization algorithms for indoor wireless sensor networks
Proceedings of the workshop on Real-world wireless sensor networks
Objects calling home: locating objects using mobile phones
PERVASIVE'07 Proceedings of the 5th international conference on Pervasive computing
DrawerFinder: finding items in storage boxes using pictures and visual markers
Proceedings of the 16th international conference on Intelligent user interfaces
IteMinder: finding items in a room using passive RFID tags and an autonomous robot (poster)
Proceedings of the 13th international conference on Ubiquitous computing
Find my stuff: supporting physical objects search with relative positioning
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
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Searching for lost keys, wallets or mobile phones is a common nuisance. Compared to digital information, search support for physical objects is very limited. We propose Find My Stuff (FiMS) as a search engine for physical objects. We built a fully functional Arduino-based prototype. FiMS offers the users a simple search interface to locate tagged physical items in different indoor environments. A hierarchical search process ensures energy efficient and effective searches. Instead of a fixed search infrastructure, the localization system is based on SmartFurniture equipped with RFID readers and ZigBee modules. Search results provide intuitive search cues based on relative positioning to support users in the physical retrieval of their lost objects. The system requires no manual calibration and is robust against rearrangement of SmartFurniture. Safety mechanisms prevent abuse of the system and protect user privacy.