Hybrid indoor location tracking for pedestrian using a smartphone

Advances in Intelligent Systems and Computing

Volumn 208 AISC, Issue , 2013, Pages 431-440

  Lee, Seon Woo ^a   Jung, Philhwan ^a   Song, Seong Ho ^a  

^a Hallym University   (South Korea)

Author keywords

dead reckoning; hybrid method; indoor location tracking; smartphone; Wi Fi fingerprinting

Indexed keywords

INERTIAL NAVIGATION SYSTEMS; INTELLIGENT ROBOTS; SIGNAL ENCODING; SMARTPHONES;

ACCELERATION SIGNALS; DEAD RECKONING; DEAD-RECKONING METHOD; HYBRID METHOD; INCREMENTAL MOVEMENT; INDOOR LOCATION TRACKING; LOCALIZATION TECHNIQUE; WI-FI FINGERPRINTING;

TRACKING (POSITION);

EID: 84876236751     PISSN: 21945357     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-37374-9_42     Document Type: Conference Paper

References (8)

1. 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)
2. Chon, J., Cha, H.: LifeMap: A Smartphone-Based Context Provider for Location-Based Services. IEEE Pervasive Computing 10(2), 58-67 (2011)
3. 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)
4. Foxlin, E.: Pedestrian tracking with shoe-mounted inertial sensors. IEEE Computer Graphics and Applications 25(6), 38-46 (2005)
5. Ojeda, L., Borenstein, J.: Non-GPS Navigation for Security Personnel and First Responders. Journal of Navigation 60(3), 391-407 (2007)
6. Lee, S.-W., Mase, K.: Activity and location recognition using wearable sensors. IEEE Pervasive Computing 1(3), 24-32 (2002)
7. 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)
8. 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)