Anastasios Petropoulos and Theodore Antonakopoulos:

Indoor Location Estimation using a Pair of Wearable Devices

The IEICE Information and Communication Technology Forum 2016 - ICTF 2016, Patras, Greece, 6-8 July 2016.

Abstract: People localization is a very valuable information for state-of-the-art theaters, examination halls etc.. Input data are obtained from two foot mounted inertial measurements units. A position tracking algorithm based on foot motion and a heading drift correction method is presented for estimating the subject’s position. Moreover, a system training phase is adopted for correction of the toe-out angles deviation from the direction of progress. Experimental results validate the effectiveness of this algorithm in heading drift reduction and position tracking accuracy. The positioning errors are determined based on the average of position estimates of the two foots. Using basic motion patterns estimated position errors are below 2.5% of the total distance traveled.

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