Pedestrian positioning with physical activity classification for indoors

Proceedings - IEEE International Conference on Robotics and Automation

Volumn , Issue , 2011, Pages 1311-1316

  Chen, Xi ^a   Hu, Sheng ^a   Shao, Zhenzhou ^a   Tan, Jindong ^a  

^a Michigan Technological University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANGULAR RATE; DRIFT ERRORS; INERTIAL MEASUREMENT UNIT; LOCAL MINIMUMS; PHYSICAL ACTIVITY; POSITIONING SYSTEM; SENSOR DATA; WALKING VELOCITY;

ERRORS; GYROSCOPES; HIDDEN MARKOV MODELS; UNITS OF MEASUREMENT;

ROBOTICS;

EID: 84871679210     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICRA.2011.5980236     Document Type: Conference Paper

References (16)

1. V. Renaudin, O. Yalak, P. Tom, and B. Merminod, "Indoor Navigation of Emergency Agents," European Journal of Navigation, vol. 5, no. 3, pp. 36-45, 2007.
2. Y. Gu, A. Lo, and I. Niemegeers, "A survey of indoor positioning systems for wireless personal networks," IEEE Communications Surveys & Tutorials, vol. 11, no. 1, pp. 13-32, 2009.
3. Z. Sun, X. Mao, W. Tian, and X. Zhang, "Activity classification and dead reckoning for pedestrian navigation with wearable sensors," Measurement Science and Technology, vol. 20, no. 1, 2009.
4. W. Chen, R. Chen, Y. Chen, H. Kuusniemi, and J. Wang, "An effective pedestrian dead reckoning algorithm using a unified heading error model," in IEEE/ION Position Location and Navigation Symposium, pp. 340-347, 2010.
5. D.-K. Cho, M. Mun, U. Lee, W. Kaiser, and M. Gerla, "AutoGait: A mobile platform that accurately estimates the distance walked," in IEEE International Conference on Pervasive Computing and Communication, pp. 116-124, 2010.
6. M. Kourogi, T. Ishikawa, and T. Kurata, "A method of pedestrian dead reckoning using action recognition," in IEEE/ION Position Location and Navigation Symposium, pp. 85-89, 2010.
7. S. H. Shin, M. S. Lee, C. G. Park, and H. S. Hong, "Pedestrian dead reckoning system with phone location awareness algorithm," in IEEE/ION Position Location and Navigation Symposium, pp. 97-101, 2010.
8. S. Beauregard, "Omnidirectional pedestrian navigation for first respon-ders," in 4th Workshop on Positioning, Navigation and Communication, pp. 33-36, 2007.
9. A. Jimenez, F. Seco, C. Prieto, and J. Guevara, "A comparison of pedestrian dead-reckoning algorithms using a low-cost mems imu," in IEEE International Symposium on Intelligent Signal Processing, pp. 37-42, 2009.
10. L. Ojeda and J. Borenstein, "Non-gps navigation with the personal dead-reckoning system," in Unmanned Systems Technology IX, vol. 6561, SPIE, 2007.
11. S. Godha, G. Lachapelle, and M. E. Cannon, "Integrated GPS/INS system for pedestrian navigation in a signal degraded environment," in ION GNSS, pp. 26-29, 2006.
12. S.-W. Lee and K. Mase, "Recognition of walking behaviors for pedestrian navigation," in IEEE International Conference on Control Applications, pp. 1152-1155, 2001.
13. S.-Y. Yeh, K.-H. Chang, C.-I. Wu, H.-H. Chu, and J. Y.-J. Hsu, "GETA sandals: a footstep location tracking system," Personal Ubiquitous Computing, vol. 11, no. 6, pp. 451-463, 2007.
14. W. Chen, Z. Fu, R. Chen, Y. Chen, O. Andrei, T. Kroger, and J. Wang, "An integrated GPS and multi-sensor pedestrian positioning system for 3D urban navigation," in Joint Urban Remote Sensing Event, pp. 1-6, 2009.
15. R. Jirawimut, P. Ptasinski, V. Garaj, F. Cecelja, and W. Balachandran, "A method for dead reckoning parameter correction in pedestrian navigation system," IEEE Transactions on Instrumentation and Measurement, vol. 52, no. 1, pp. 209-215, 2003.
16. S. Hu, X. Chen, and J. Tan, "PAMS: A wearable physical activity monitoring system for continuous motion capture in free-living environments," in ICST Conference on Body Area Networks, 2010.