An overview of gait analysis and step detection in mobile computing devices

Proceedings of the 2012 4th International Conference on Intelligent Networking and Collaborative Systems, INCoS 2012

Volumn , Issue , 2012, Pages 648-651

  McGuire, Michael L ^a  

^a UNIVERSITY OF VICTORIA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ACCELERATION SENSORS; BIOMEDICAL APPLICATIONS; MOBILE COMPUTING DEVICES; MOBILE RADIOS; STEP DETECTION;

MEDICAL APPLICATIONS; MOBILE DEVICES;

GAIT ANALYSIS;

EID: 84870666809     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iNCoS.2012.110     Document Type: Conference Paper

References (24)

1. C.-C. Yang, Y.-L. Hsu, K.-S. Shih, J.-M. Lu, and L. Chan, "Real-time gait cycle parameters recognition using a wearable motion detector," in International Conference on System Science and Engineering (ICSSE),, June 2011, pp. 498-502.
2. K. Culhane, M. O'Connor, D. Lyons, and G. Lyons, "Accelerometers in rehabilitation medicine for older adults," Age and Aging, vol. 34, no. 6, pp. 556-560, November 2005.
3. A. Tura, M. Raggi, L. Rocchi, A. Cutti, and L. Chiari, "Gait symmetry and regularity in transfemoral amputees assessed by trunk accelerations," Journal of Neuroengineering and Rehabilitation, vol. 7, no. 4, January 2010.
4. R. Williamson and B. Andrews, "Gait event detection for FES using accelerometers and supervised machine learning," IEEE Trans. Rehabil. Eng., vol. 8, no. 3, pp. 312-319, September 2000.
5. D. Gafurov, K. Helkala, and T. Søndrol, "Biometric gait authentication using accelerometer sensor," Journal of Computers, vol. 1, no. 7, pp. 51-59, October/November 2006.
6. M. Derawi, P. Bours, and K. Holien, "Improved cycle detection for accelerometer based gait authentication," in International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), October 2010, pp. 312-317.
7. H. Ying, C. Silex, A. Schnitzer, S. Leonhardt, and M. Schiek, "Automatic step detection in the accelerometer signal," in 4th International Workshop on Wearable and Implantable Body Sensor Networks (BSN 2007), ser. IFMBE Proceedings, S. Leonhardt, T. Falck, P. Mhnen, and R. Magjarevic, Eds. Springer Berlin Heidelberg, vol. 13, pp. 80-85.
8. T. Yoshida, F. Mizuno, T. Hayasaka, K. Tsubota, S. Wada, and T. Yamaguchi, "Gait analysis for detecting a leg accident with an accelerometer," in First Transdisciplinary Conference on Distributed Diagnosis and Home Healthcare, April 2006, pp. 43-46.
9. C. Park, J.-W. Suh, E.-J. Cha, and H.-D. Bae, "Pedestrian navigation system with fall detection and energy expenditure calculation," in IEEE Instrumentation and Measurement Technology Conference (I2MTC), May 2011, pp. 1-4.
10. M. Whittle, Gait Analysis: An Introduction. Elsevier Ltd., 2007. [Online]. Available: http://www.sciencedirect.com/science/book/9780750688833
11. M. Marschollek, M. Goevercin, K.-H. Wolf, B. Song, M. Gietzelt, R. Haux, and E. Steinhagen-Thiessen, "A performance comparison of accelerometry-based step detection algorithms on a large, non-laboratory sample of healthy and mobility-impaired persons," in Annual International Conference of the IEEE Engineering in Medicine and Biology Society, August 2008, pp. 1319-1322.
12. D. Ioannidis, D. Tzovaras, I. Damousis, S. Argyropoulos, and K. Moustakas, "Gait recognition using compact feature extraction transforms and depth information," IEEE Trans. Inf. Forensics Security, vol. 2, no. 3, pp. 623-630, September 2007.
13. S. Sarkar, P. Phillips, Z. Liu, I. Vega, P. Grother, and K. Bowyer, "The HumanID gait challenge problem: data sets, performance, and analysis," IEEE Trans. Pattern Anal. Mach. Intell., vol. 27, no. 2, pp. 162-177, February 2005.
14. N. Boulgouris, D. Hatzinakos, and K. Plataniotis, "Gait recognition: a challenging signal processing technology for biometric identification," IEEE Signal Process. Mag., vol. 22, no. 6, pp. 78-90, November 2005.
15. J. Mantyjarvi, M. Lindholm, E. Vildjiounaite, S.-M. Makela, and H. Ailisto, "Identifying users of portable devices from gait pattern with accelerometers," in IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 2, March 2005, pp. 973-976.
16. R. Torrealba, J. Castellano, G. Fernandez-Lopez, and J. Grieco, "Characterisation of gait cycle from accelerometer data," Electronics Letters, vol. 43, no. 20, pp. 1066-1068, 27 2007.
17. T. Iso and K. Yamazaki, "Gait analyzer based on a cell phone with a single three-axis accelerometer," in Proceedings of the 8th conference on Human-computer interaction with mobile devices and services, ser. MobileHCI '06, 2006, pp. 141-144.
18. R. LeMoyne, T. Mastroianni, M. Cozza, C. Coroian, and W. Grundfest, "Implementation of an iPhone as a wireless accelerometer for quantifying gait characteristics," in Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), September 2010, pp. 3847-3851.
19. H.-J. Jang, J. Kim, and D.-H. Hwang, "Robust step detection method for pedestrian navigation systems," Electronics Letters, vol. 43, no. 14, July 2007.
20. C. Nickel, C. Busch, S. Rangarajan, and M. Mobius, "Using Hidden Markov Models for accelerometer-based biometric gait recognition," in IEEE 7thn International Colloquium on Signal Processing and its Applications (CSPA), March 2011, pp. 58-63.
21. S. Sprager and D. Zazula, "Impact of different walking surfaces on gait identification based on higher-order statistics of accelerometer data," in IEEE International Conference on Signal and Image Processing Applications (ICSIPA), November 2011, pp. 360-365.
22. A. Samà, F. J. Ruiz, C. Pérez, and A. Català, "Gait identification by using spectrum analysis on state space reconstruction," in Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence, ser. IWANN'11, 2011, pp. 597-604.
23. M. O. Derawi, C. Nickel, P. Bours, and C. Busch, "Unobtrusive user-authentication on mobile phones using biometric gait recognition," in Proceedings of the 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, ser. IIH-MSP '10, 2010, pp. 306-311.
24. P. Kuchi, R. R. V. Hiremagalur, H. Huang, M. Carhart, J. He, and S. Panchanathan, "DRAG: a database for recognition and analysis of gait," J. R. Smith, S. Panchanathan, and T. Zhang, Eds., vol. 5242, no. 1. SPIE, 2003, pp. 115-124.