Abstract
In this paper, a hybrid indoor location tracking method is proposed for pedestrian using a set of inertial sensors embedded in smartphones. The method is composed of two localization techniques; one is dead-reckoning using inertial sensors and the other is Wi-Fi fingerprinting. The proposed method uses the concept of combined map of topological and geometric map. Introducing user-select points of interest in his/her workplace we can reduce the cost of building a radio map for Wi-Fi fingerprinting method. The dead-reckoning method can track incremental movements of user by detecting steps. Based on acceleration signals we proposed a method to estimate the orientation and position of the phone in a pocket of pants. Experiments verified the performance of the method.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Liu, H., Darabi, H., Banerjee, P., Liu, J.: Survey of Wireless Indoor Positioning Techniques and Systems. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews 37(6), 1067–1080 (2007)
Chon, J., Cha, H.: LifeMap: A Smartphone-Based Context Provider for Location-Based Services. IEEE Pervasive Computing 10(2), 58–67 (2011)
Shin, H., Cha, H.: Wi-Fi Fingerprint-Based Topological Map Building for Indoor User Tracking. In: 2010 IEEE 16th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), pp. 105–113 (2010)
Foxlin, E.: Pedestrian tracking with shoe-mounted inertial sensors. IEEE Computer Graphics and Applications 25(6), 38–46 (2005)
Ojeda, L., Borenstein, J.: Non-GPS Navigation for Security Personnel and First Responders. Journal of Navigation 60(3), 391–407 (2007)
Lee, S.-W., Mase, K.: Activity and location recognition using wearable sensors. IEEE Pervasive Computing 1(3), 24–32 (2002)
Cypriani, M., Lassabe, F., Canalda, P., Spies, F.: Wi-Fi-based indoor positioning: Basic techniques, hybrid algorithms and open software platform. In: 2010 International Conference on Indoor Positioning and Indoor Navigation (IPIN), pp. 1–10 (2010)
Wang, Y., Lin, J., Annavaram, M., Jacobson, Q.A., Hong, J., Krishnamachari, B., Sadeh, N.: A framework of energy efficient mobile sensing for automatic user state recognition. In: Proceedings of the 7th International Conference on Mobile Systems, Applications, and Services (MobiSys 2009), p. 179 (2009)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Lee, SW., Jung, P., Song, SH. (2013). Hybrid Indoor Location Tracking for Pedestrian Using a Smartphone. In: Kim, JH., Matson, E., Myung, H., Xu, P. (eds) Robot Intelligence Technology and Applications 2012. Advances in Intelligent Systems and Computing, vol 208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37374-9_42
Download citation
DOI: https://doi.org/10.1007/978-3-642-37374-9_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-37373-2
Online ISBN: 978-3-642-37374-9
eBook Packages: EngineeringEngineering (R0)