Open AccessSENSOR BASED ALGORITHMS FOR DEAD RECKONING: A COMPARISON OF TWO APPROACHES FOR SMARTPHONES
Author(s) -
Daniel Caspari,
Mircea Strutu,
Lucas Riedhammer,
Uwe Großmann
Publication year - 2014
Publication title -
computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.184
H-Index - 11
eISSN - 2312-5381
pISSN - 1727-6209
DOI - 10.47839/ijc.13.1.621
Subject(s) - dead reckoning , compass , accelerometer , computer science , real time computing , point (geometry) , scrutiny , step detection , algorithm , variety (cybernetics) , embedded system , artificial intelligence , computer vision , global positioning system , telecommunications , operating system , mathematics , geometry , cartography , political science , law , geography
The implementation of a reliable indoor localization system can be the starting point for a variety of much desired applications. Either for efficient patient monitoring inside a hospital or as an automatic guide inside a museum, a working localization solution can be useful. Smartphone technology represents a powerful and user friendly tool in order to achieve adequate indoor positioning. This paper explores the potential of using smartphone sensor data (accelerometer and compass) in order to track the location of the person holding the device using dead reckoning algorithms. Two different approaches are under scrutiny in order to assess their performance in different real life inspired scenarios.