A Relative Positioning System for Spatial Awareness of Collocated Mobile Devices and Users

Start: Friday, April 08, 2005, 11:30AM

End: Friday, April 08, 2005, 12:30PM

Location: 325b ITE

Abstract: If a mobile computer knows how it is positioned and oriented in relation to other mobile devices nearby, then it can provide enhanced support for multi-device and multi-user interactions. Existing systems that provide position information to mobile computers are reliant on externally deployed infrastructure, such as beacons or sensors in the environment.

We introduce a novel system, Relate, which provides fine-grained relative position information to collocated devices on the basis of peer-to-peer sensing, thus overcoming dependence on any external infrastructure. The system is realized as hardware/software plug-in, using ultrasonic devices for peer-to-peer sensing, USB to interface with standard mobile devices, and data abstraction and inference to map sensor data to a spatial model that maintains both quantitative and qualitative relationships.

We present a set of services and applications to demonstrate the utility of the system and report experimental results on system performance and accuracy of relative position and orientation estimation.

Host: Zary Segall


	UMBC eBiquity Events / Talks A Relative Positioning System for Spatial Awareness of Collocated Mobile Devices and Users OWL metadata Update record		A Relative Positioning System for Spatial Awareness of Collocated Mobile Devices and Users Tweet Speaker: Gerd Kortuem Start: Friday, April 08, 2005, 11:30AM End: Friday, April 08, 2005, 12:30PM Location: 325b ITE Abstract: If a mobile computer knows how it is positioned and oriented in relation to other mobile devices nearby, then it can provide enhanced support for multi-device and multi-user interactions. Existing systems that provide position information to mobile computers are reliant on externally deployed infrastructure, such as beacons or sensors in the environment. We introduce a novel system, Relate, which provides fine-grained relative position information to collocated devices on the basis of peer-to-peer sensing, thus overcoming dependence on any external infrastructure. The system is realized as hardware/software plug-in, using ultrasonic devices for peer-to-peer sensing, USB to interface with standard mobile devices, and data abstraction and inference to map sensor data to a spatial model that maintains both quantitative and qualitative relationships. We present a set of services and applications to demonstrate the utility of the system and report experimental results on system performance and accuracy of relative position and orientation estimation. Host: Zary Segall ,