We propose a novel search technique called IteMinder that helps users find property in a room using passive RFID and an autonomous robot. First, we attach RFID tags to the target items and at typical locations in a room. We also attach an RFID reader and a laser rangefinder to the robot. The robot can move around the entire room automatically while avoiding obstacles using the laser rangefinder. When the robot finds a tagged item, it uploads the tag ID and location information to the database. Users can then browse target items and their locations on a common web browser.

In this demonstration paper we will present our test application which has been designed for using geosensor network (GSN) nodes with low-rate communication. Our demonstration will show how GSN nodes can be used in low-rate networks based standardized binary encoding communication. The designed geosensor application has been created over the Locawe platform which is a location-aware system platform in CENTRIA Research and Development, Finland.

In this research, we addressed the problem of visualizing route histories on a mobile device. We developed a solution, which combines the visualization of three route history parameters: speed, direction, and location. The visualization was tested in a laboratory evaluation with 12 subjects. The results showed that by using the visualization the subjects were able to estimate actual driving speeds accurately. The subjects also evaluated that the visualization supported their knowledge of the speed, location, and direction quite well. The results suggest that the presented visualization is an improvement over currently used route history visualizations.