A method of pedestrian dead reckoning using action recognition

Record - IEEE PLANS, Position Location and Navigation Symposium

Volumn , Issue , 2010, Pages 85-89

  Kourogi, Masakatsu ^a   Ishikawa, Tomoya ^a   Kurata, Takeshi ^a  

^a NATIONAL INSTITUTE OF ADVANCED INDUSTRIAL SCIENCE AND TECHNOLOGY AIST   (Japan)

Author keywords

Action recognition; AdaBoost; Machine learning; Pedestrian dead reckoning (PDR)

Indexed keywords

ACTION RECOGNITION; ADABOOST; CONTEXTUAL INFORMATION; CROSS-VALIDATION TESTS; DEAD RECKONING; ERROR RATE; INERTIAL MEASUREMENT UNIT; MACHINE-LEARNING; OFFICE ENVIRONMENTS; PRIOR KNOWLEDGE; SITTING DOWN; STANDING-UP; TRAINING DATA SETS; WALKING LOCOMOTION;

ADAPTIVE BOOSTING; LEARNING SYSTEMS; NAVIGATION; STATISTICAL TESTS; UNITS OF MEASUREMENT;

LOCATION;

EID: 77955032829     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PLANS.2010.5507239     Document Type: Conference Paper

References (8)

1. O. Woodman and R. Harle, "Pedestrian localisation for indoor environments", In Proc. of the 10th Int. Conf. on Ubiquitous computing (UbiComp), 2008.
2. E. Foxlin, "Pedestrian Tracking with Shoe-Mounted Inertial Sensors", In IEEE Computer Graphics and Applications, Volume 25, Issue 6 (November 2005), pp. 38-46, 2005.
3. Tom Judd and Toan V, "Use of a New Pedometric Dead Reckoning Module in GPS Denied Environments", In Proc. IEEE/ION Poisition, Location and Navigation (PLANS2008), pp. 120-128, 2008.
4. M. Kourogi, and T. Kurata, "Personal Positioning Based on Walking Locomotion Analysis with Self-Contained Sensors and a Wearable Camera", In Proc. 2nd IEEE and ACM Int. Symp. on Mixed and Augmented Reality (ISMAR2003), pp. 103-112, 2003.
5. T. Kurata, M. Kourogi, T. Ishikawa, J. Hyun, and A. Park, "Service Cooperation and Co-creative Intelligence Cycle Based on Mixed-Reality Technology", In Proc. 8th IEEE Int. Conf. on Industrial Informatics (INDIN2010), 2010 (to appear).
6. Y. Freund and R. E. Schapire, "A decision-theoretic generalization of on-line learning and application to boosting", Computational Learning Theory: Eurocolt, pp. 23-37, 1995.
7. T. Ishikawa, M. Kourogi, T. Okuma, and T. Kurata, "Economic and Synergistic Pedestrian Tracking System for Indoor Environments", Int. Conf. on Soft Computing and Pattern Recognition (SoCPaR2009), pp. 522-527, Dec., 2009.
8. M. Kourogi, N. Sakata, T. Okuma, and T. Kurata: "Indoor/Outdoor Pedestrian Navigation with an Embedded GPS/RFID/Self-contained Sensor System", In Proc. ICAT2006, pp.1310-1321, 2006.