Discovering semantically meaningful places from pervasive RF-beacons

Detecting visits to semantically meaningful places is important for many emerging mobile applications. We present PlaceSense, a place discovery algorithm suitable for mobile devices that exploits pervasive RF-beacons. By relying on separate mechanisms to detect entrance to and departure from a place and buffering overlapping data for subsequent visits, it is more robust than the state-of-the-art, especially in detecting short visits, places where people are mobile, or where inconsistent beacons are prevalent due to interference. We experimentally evaluate PlaceSense’s effectiveness in discovering semantically meaningful places, and compare with other approaches that use coordinates or RF-beacon fingerprints. Our results demonstrate that PlaceSense correctly discovers 92% (compared to between 28% and 65% for previous work) of the visited places and accurately detects their entrance and departure times from both real-life and scripted data sets. Author Keywords Place Learning, Locati...

• Type: Conference
• Year: 2009
• Where: HUC
• Authors: Donnie H. Kim, Jeffrey Hightower, Ramesh Govindan, Deborah Estrin
• Keywords: HUC 2009, Human Computer Interaction, Meaningful Places, Place Discovery Algorithm, Semantically