The 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2017) will be held in Maui, Hawaii, USA, September 11–15 (The Grand Wailea Resort Hotel & Spa).
The following oral presentation will be delivered.
RSSI-based indoor localization for mobile devices has become important as the basis technology for various ubiquitous computing applications.
With the widespread use of smartphones in the last decade, device dependency must be considered to avoid performance degradation, while most of the recent localization approaches assume that all the smartphone models have the same device characteristics.
We propose a novel feature representation based on multiple RSSIs for compensating performance degradation
against smartphone models changes.
In contrast to the previous feature representation based on a single RSSI, our new feature representation, which we call Ellipsoid features, employs tuples of pair of RSSIs to eliminate device dependence in the path loss model for wave propagation.
Experimental result using smartphone devices including Android Nexus5, Nexus5X, Nexus6P, and Xperia X Performance shows that our approach achieves superior performance over the state-of-the-art indoor localization models as well as robust performance against device changes.
This paper will be presented in the new ACM international journal Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) in September. From 2017, all the papers presented in UbiComp are also published in IMWUT thanks to the review system in UbiComp community.
— Presentation information —
Technical session “CONTEXT SENSING 1” 2017-09-13 (Wed.) 15:30 – 17:00
Robust indoor localization across smartphone models with ellipsoid features from multiple RSSIs
Masato Sugasaki, Masamichi Shimosaka