A novel system architecture for real-time, robust and accurate step detection for PDR based indoor localization

M P R S, Kiran and P, Rajalakshmi and Giluka, Mukesh Kumar and Tamma, Bheemarjuna Reddy (2018) A novel system architecture for real-time, robust and accurate step detection for PDR based indoor localization. In: IEEE 4th World Forum on Internet of Things (WF-IoT), 5-8 February 2018, Singapore.

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Indoor localization is currently of good interest concerning both business viability and end user experience. In this paper, we propose an accurate and robust step detection algorithm for smartphone based pedestrian dead reckoning (PDR) systems. The developed algorithm makes use of the acceleration measured from the smartphone and uses a statistical threshold based classification to detect the steps accurately. The statistical thresholds used are derived from extensive field trials with subjects of different age groups and found to provide good accuracy when used in real-time. For analyzing the performance of the proposed algorithm, we have implemented the algorithm on Android platform and performed extensive field trials. The analysis proves that the proposed algorithm identifies the user steps in real-time with an accuracy of more than 99% with minimum memory requirements.

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IITH Creators:
IITH CreatorsORCiD
Tamma, Bheemarjuna ReddyUNSPECIFIED
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: PDR, SLAM, Step detection, Indoor localization
Subjects: Computer science
Electrical Engineering
Divisions: Department of Electrical Engineering
Depositing User: Team Library
Date Deposited: 09 Aug 2018 06:11
Last Modified: 09 Aug 2018 06:11
URI: http://raiith.iith.ac.in/id/eprint/4380
Publisher URL: http://doi.org/10.1109/WF-IoT.2018.8355188
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