Next century challenges: mobile networking for “Smart Dust”
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Communications of the ACM
Smart-Its Friends: A Technique for Users to Easily Establish Connections between Smart Artefacts
UbiComp '01 Proceedings of the 3rd international conference on Ubiquitous Computing
The Personal Server: Changing the Way We Think about Ubiquitous Computing
UbiComp '02 Proceedings of the 4th international conference on Ubiquitous Computing
SPECs: Personal Pervasive Systems
Computer
Location-Triggered Code Execution --- Dismissing Displays and Keypads for Mobile Interaction
UAHCI '09 Proceedings of the 5th International on ConferenceUniversal Access in Human-Computer Interaction. Part II: Intelligent and Ubiquitous Interaction Environments
Implicit interaction with daily objects: applications and issues
Proceedings of the 3rd International Universal Communication Symposium
uPackage: a package to enable do-it-yourself style ubiquitous services with daily objects
UCS'07 Proceedings of the 4th international conference on Ubiquitous computing systems
A study on automatic recognition of object use exploiting motion correlation of wireless sensors
Personal and Ubiquitous Computing
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Many applications in ubiquitous computing rely on knowing where people and objects are relative to each other. By placing small wireless sensors on people, at specific locations, and on or in a wide variety of everyday objects we can collect these proximate relationships and deduce much about a person's or an object's context. This paper investigates the practical issues of recording these proximity interactions using RF wireless sensors and explores the benefits of collecting/mining proximity data and how user context and usage habits can be inferred for use by proactive applications. We describe some of the issues we faced in collecting usable proximity data from RF wireless sensors. Specifically, we discuss some of the ranging experiments we conducted, our approach to utilizing the limited local data store, and how we implemented a low-overhead time synchronization scheme. We present initial results from one of the applications we are targeting: a proactive reminding system that informs users when they leave important items behind.