Context-Aware Personal Navigation Using Embedded Sensor Fusion in Smartphones

Sara Saeedi, Adel Moussa, Naser El‐Sheimy

Sensors · 2014 · 78 citations · 19 references

DOIFull text

Open access

Concepts

TL;DR

Context-aware mobile navigation adapts services in real time to the user’s activity and device placement, addressing the dynamic nature of mobile contexts. This study tackles context acquisition, understanding, and application adaptation to build a context-aware navigation system. The authors employ low-cost smartphone sensors in a multi-level fusion scheme to enhance accuracy and robustness. Experiments show that the resulting Personal Navigation System performs effectively for outdoor navigation on a smartphone.

Abstract

Context-awareness is an interesting topic in mobile navigation scenarios where the context of the application is highly dynamic. Using context-aware computing, navigation services consider the situation of user, not only in the design process, but in real time while the device is in use. The basic idea is that mobile navigation services can provide different services based on different contexts-where contexts are related to the user's activity and the device placement. Context-aware systems are concerned with the following challenges which are addressed in this paper: context acquisition, context understanding, and context-aware application adaptation. The proposed approach in this paper is using low-cost sensors in a multi-level fusion scheme to improve the accuracy and robustness of context-aware navigation system. The experimental results demonstrate the capabilities of the context-aware Personal Navigation Systems (PNS) for outdoor personal navigation using a smartphone.

References

19