Skip to main content
Have a personal or library account? Click to login
Individual Recognition from Gait Using Feature Value Method Cover

Individual Recognition from Gait Using Feature Value Method

Open Access
|Mar 2013

References

  1. 1. Loula, F., et al. Recognizing People from Their Movement. - J. of Experimental Psychology: Human Perception and Performance, Vol., 2005, No 1, 210-220.
  2. 2. Jokisch, D., et al. Self-Recognition Versus Recognition of Others by Biological Motion: Viewpoint-Dependent Effects. - Perception,, 2006, 911-920.
  3. 3. Cutting, J., et al. Recognizing Friends by Their Walk: Gait Perception Without Familiarity Cues. - Bulletin of Psychonomic Society, Vol., 1977, No 5, 353-356.
  4. 4. Jain, A., et al. Biometrics. - In: Biometrics-Personal Identification in Networked Society.Springer US, 2002.
  5. 5. Nixon, M. Gait Biometrics. - Biometric Technology Today, Vol., 2008, No 7-8, 8-9.
  6. 6. Murray, P., et al. Walking Patterns of Normal Men. - J. of Bone And Joint Surgery, Vol., 1964, No 2, 335-360.
  7. 7. Boyd, J., et al. Advanced Studies in Biometrics. - Lecture Notes in Computer Science. Berlin/Heidelberg, Springer, 2005.
  8. 8. Troje, N. Decomposing Biological Motion: A Framework for Analysis and Synthesis of Human Gait Patterns. - J. of Vision, Vol., 2002, No 5, 371-387.
  9. 9. Venture, G. Human Characterization and Emotion Characterization from Gait.-In: Proc. of the IEEE Int. Conf. Engineering in Medicine and Biology, Buenos Aires, Argentina, 2010, 1292-1295.
  10. 10. Kobayashi, T., et al. Rotation Invariant Feature Extraction from 3d Acceleration Signals. - In: Proc. of International Conference on Acoustics, Speech, and Signal Processing, 2011, 3684-3687.
  11. 11. Vildjiounaite, E., et al. Unobtrusive Multimodal Biometrics for Ensuring Privacy and Information Security with Personal Devices.-Pervasive Computing, 4th International Conference, PERVASIVE, 2006, 187-201.
  12. 12. Huang, B., et al. Gait Modeling for Human Identification. - In: Proc. of IEEE International Conference on Robotics and Automation, 2007.
  13. 13. Derawi, M. O., et al. Improved Cycle Detection for Accelerometer Based Gait Authentication. - In: Proc. of Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), Sixth International Conference, 2010.
  14. 14. Gafurov, D., et al. Gait Recognition Using Wearable Motion Recording Sensors. - EURASIP Journal on Advances in Signal Processing, 2009.
  15. 15. Kwapisz, J. R., et al. Cell Phonebased Biometric Identification. - In: Proc. of IEEE Fourth International Conference on Biometrics: Theory, Applications and Systems, 2010.
  16. 16. Gafurov, D., et al. Spoof Attacks Ongait. - J. of IEEE Transactions on Information Forensics and Security, Special Issue on Human Detection and Recognition, 2007.
  17. 17. Gafurov, D. Security Analysis of Impostor Attempts with Respect Togender in Gait Biometrics. - In: Proc. of Biometrics: Theory, Applications, and Systems, First IEEE International Conference, 2007.
  18. 18. Gafurov, D., et al. Improved Hip Based Individual Recognition Using Wearable Motion Recording Sensor. - J. of Security Technology, Disaster Recovery and Business Continuity, Volume 122 of Communications in Computer and Information Science, Berlin Heidelberg, Springer, 2010, 179-186.
  19. 19. Derawi, M. O., et al. Unobtrusive User-Authentication on Mobile Phones using Biometric Gait Recognition. - In: Proc. Of Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2010 Sixth International Conference, 2010.
  20. 20. Ailisto, H. J., et al. Identifying People from Gait Pattern with Accelerometers. - J. of Biometric Technology for Human Identification, SPIE, Vol., 2005.
  21. 21. Mantyjarvi, J., et al. Identifying Users of Portable Devices from Gait Pattern with Accelerometers. - In: Proc. of IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.
  22. 22. Trung, N., et al. Phase Registration in a Gallery Improving Gait Authentication. -Proc. of the International Joint Conference on Biometrics (IJCB2011). IEEE and IAPR’2011.
  23. 23. Rong, L., et al. Identification of Individual Walking Patterns using Gait Acceleration. - In: Proc. of the 1st International Conference on Bioinformatics and Biomedical Engineering, 2007, 543-546,
  24. 24. Trung, N., et al. Performance Evaluation of Gait Recognition Using the Largest Inertial Sensor-Based Gait Database. - In: Proc. of the 5th IAPR Int. Conf. on Biometrics, Paper ID 182, New Delhi, India, March 2012, 1-7.
  25. 25. Gelder, B. Towards the Neurobiology of Emotional Body Language. - J. of Nature Reviews, Neuroscience, Vol., March 2006, 242-249.
  26. 26. Taylor, G., et al. Factored Conditional Restricted Boltzmann Machines for Modelling Motion Style.-In: Proc. of the 26th International Conference on Machine Learning, 2009, 1025-1032.
  27. 27. Kadone, H. et al. Symbolic Memory of Motion Patterns by an Associative Memory Dynamics with Self-Organizing Nonmonotonicity. - Neural Information Processing, Vol., 2008, 203-213.
  28. 28. Zhang, T., et al. Emotion Recognition from Walk Pattern.-In: 21st An. Conf. of the Japanese Neural Network Society, Okinawa, Japan, December 2011, 196-197.
  29. 29. Vapnik, V. The Nature of Statistical Learning Theory. Springer, 1995.
  30. 30. Burges, C. A Tutorial on Support Vector Machines for Pattern Recognition. - Data Mining and Knowledge Discovery, Vol., 1988, 1-47.
  31. 31. Osuna, E., et al. Support Vector Machines: Training and Applications. - A. I. Memo 1602, MIT Press, 1988.
  32. 32. Karg, M., et al. A Comparison of PCA, KPCA and LDA for Feature Extraction to Recognize Affect in Gait Kinematics.- In: Proc. of the 3rd International Conference on Affective Computing and Intelligent Interaction, 2009.
DOI: https://doi.org/10.2478/cait-2012-0024 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702 (formerly 1314-4081)
Language: English
Page range: 86 - 95
Published on: Mar 22, 2013
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services

© 2013 Tianxiang Zhang, Gentiane Venture, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons License.