The largest inertial sensor-based gait database and performance evaluation of gait-based personal authentication

Pattern Recognition

Volumn 47, Issue 1, 2014, Pages 228-237

  Ngo, Thanh Trung ^a   Makihara, Yasushi ^a   Nagahara, Hajime ^b   Mukaigawa, Yasuhiro ^a   Yagi, Yasushi ^a  

^a OSAKA UNIVERSITY   (Japan)

^b KYUSHU UNIVERSITY   (Japan)

Author keywords

Gait based owner authentication; Inertial sensor; Large scale database; Performance evaluation

Indexed keywords

AUTHENTICATION METHODS; INERTIAL MEASUREMENT UNIT; INERTIAL SENSOR; LARGE-SCALE DATABASE; PERFORMANCE EVALUATION; PERSONAL AUTHENTICATION; RELIABLE PERFORMANCE; RESEARCH COMMUNITIES;

AUTHENTICATION; INERTIAL NAVIGATION SYSTEMS; SENSORS; UNITS OF MEASUREMENT;

DATABASE SYSTEMS;

EID: 84885021136     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2013.06.028     Document Type: Article

References (38)

1. J.-Y. Yang, J.-S. Wang, and Y.-P. Chen Using acceleration measurements for activity recognition an effective learning algorithm for constructing neural classifiers Pattern Recognition Letters 29 16 2008 2213 2220
2. K. Altun, B. Barshan, and O. Tunçel Comparative study on classifying human activities with miniature inertial and magnetic sensors Pattern Recognition 43 10 2010 3605 3620
3. J.C. Augusto, C.D. Nugent, A new architecture for smart homes based on ADB and temporal reasoning, in: Toward a Human Friendly Assistive Environment, Proceedings of 2nd International Conference On Smart homes and health Telematic, ICOST2004, 2004, pp. 106-113.
4. D. Cook, and S. Das Smart Environments Technology, Protocols and Applications 2004 John Wiley and Sons
5. H.J. Ailisto, M. Lindholm, J. Mantyjarvi, E. Vildjiounaite, S. Makela, Identifying people from gait pattern with accelerometers, in: Biometric Technology for Human Identification, SPIE, vol. 5779, 2005, pp. 7-14. (Pubitemid 41432809)
6. J. Mantyjarvi, M. Lindholm, E. Vildjiounaite, S.-M. Makela, H. Ailisto, Identifying users of portable devices from gait pattern with accelerometers, in: Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 2, 2005, pp. 973-976.
7. T. Kobayashi, K. Hasida, N. Otsu, Rotation invariant feature extraction from 3-D acceleration signals, in: International Conference on Acoustics, Speech, and Signal Processing, 2011, pp. 3684-3687.
8. J.R. Kwapisz, G.M. Weiss, S.A. Moore, Cell phone based biometric identification, in: IEEE Fourth International Conference on Biometrics: Theory, Applications and Systems, 2010, pp. 1-7.
9. A. Kale, N. Cuntoor, B. Yegnanarayana, A. Rajagopalan, R. Chellappa, Gait analysis for human identification, in: Audio- and Video-Based Biometric Person Authentication LNCS, 2003, pp. 706-714.
10. D. Gafurov, K. Helkala, and T. Sondrol Biometric gait authentication using accelerometer sensor Journal of Computers 2006 51 59
11. D. Gafurov, and E. Snekkenes Gait recognition using wearable motion recording sensors EURASIP Journal on Advances in Signal Processing 2009 2009 1 16
12. D. Gafurov, E. Snekkenes, P. Bours, Improved gait recognition performance using cycle matching, in: 2010 IEEE 24th International Conference on Advanced Information Networking and Applications Workshops (WAINA), 2010, pp. 836-841.
13. L. Rong, Z. Jianzhong, L. Ming, H. Xiangfeng, A wearable acceleration sensor system for gait recognition, in: 2nd IEEE Conference on Industrial Electronics and Applications, 2007, pp. 2654-2659.
14. L. Rong, D. Zhiguo, Z. Jianzhong, L. Ming, Identification of individual walking patterns using gait acceleration, in: The 1st International Conference on Bioinformatics and Biomedical Engineering, 2007, pp. 543-546.
15. M.O. Derawi, P. Bours, K. Holien, Improved cycle detection for accelerometer based gait authentication, in: Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2010, pp. 312-317.
16. N. Trung, Y. Makihara, H. Nagahara, R. Sagawa, Y. Mukaigawa, Y. Yagi, Phase registration in a gallery improving gait authentication, in: International Joint Conference on Biometrics (IJCB2011), IEEE and IAPR, 2011, pp. 1-7.
17. S. Sprager, and D. Zazula A cumulant-based method for gait identification using accelerometer data with principal component analysis and support vector machine WSEAS Transactions on Signal Processing 5 11 2009 369 378
18. G. Trivino, A. Alvarez-Alvarez, and G. Bailador Application of the computational theory of perceptions to human gait pattern recognition Pattern Recognition 43 7 2010 2572 2581
19. A. Alvarez-Alvarez, G. Trivino, and O. Cordon Human gait modeling using a genetic fuzzy finite state machine IEEE Transactions on Fuzzy Systems 20 2 2012 205 223
20. N. Trung, Y. Makihara, H. Nagahara, Y. Mukaigawa, Y. Yagi, Performance evaluation of gait recognition using the largest inertial sensor-based gait database, in: Proceedings of the 5th IAPR International Conference on Biometrics, 2012, pp. 360-366.
21. E. Vildjiounaite, S.-M. Makela, M. Lindholm, R. Riihimaki, V. Kyllonen, J. Mantyjarvi, H. Ailisto, Unobtrusive multimodal biometrics for ensuring privacy and information security with personal devices, in: 4th International Conference on Pervasive Computing, PERVASIVE, 2006, pp. 187-201. (Pubitemid 44044758)
22. D. Gafurov, E. Snekkenes, P. Bours, Gait authentication and identification using wearable accelerometer sensor, in: 5th IEEE Workshop on Automatic Identification Advanced Technologies, 2007, pp. 220-225. (Pubitemid 47487122)
23. D. Gafurov, E. Snekkenes, and P. Bours Spoof attacks on gait authentication system IEEE Transactions on Information Forensics and Security 2 3 2007 491 502 (Pubitemid 47290583)
24. D. Gafurov, Security analysis of impostor attempts with respect to gender in gait biometrics, in: First IEEE International Conference on Biometrics: Theory, Applications, and Systems, 2007, pp. 1-6.
25. D. Gafurov, P. Bours, Improved hip based individual recognition using wearable motion recording sensor, in: Security Technology, Disaster Recovery and Business Continuity, vol. 122, Communications in Computer and Information Science, Springer, Berlin, Heidelberg, 2010, pp. 179-186.
26. B. Huang, M. Chen, P. Huang, Y. Xu, Gait modeling for human identification, in: IEEE International Conference on Robotics and Automation, 2007, pp. 4833-4838. (Pubitemid 350140936)
27. M.O. Derawi, C. Nickely, P. Bours, C. Busch, Unobtrusive user-authentication on mobile phones using biometric gait recognition, in: 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2010, pp. 306-311.
28. S. Bonnet, P. Jallon, Hidden markov models applied onto gait classification, in: 18th European Signal Processing Conference (EUSIPCO-2010), 2010, pp. 929-933.
29. C. Nickel, H. Brandt, C. Busch, Classification of acceleration data for biometric gait recognition on mobile devices, in: BIOSIG, 2011, pp. 57-66.
30. F. Juefei-Xu, C. Bhagavatula, A. Jaech, U. Prasad, M. Savvides, Gait-id on the move: pace independent human identification using cell phone accelerometer dynamics, in: IEEE 5th International Conference on Biometrics, 2012, pp. 8-15.
31. D. Gafurov, Performance and Security Analysis, Ph.D. Thesis, Faculty of Mathematics and Natural Sciences at the University of Oslo, 2008.
32. ZMP Inc., IMUZ, http://www.zmp.co.jp/imu-z.html , In Japanese.
33. Kionic Inc., KXTF9, http://www.kionix.com/ .
34. Y. Makihara, N.T. Trung, H. Nagahara, R. Sagawa, Y. Mukaigawa, Y. Yagi, Phase registration of a single quasi-periodic signal using self dynamic time warping, in: The Tenth Asian Conference on Computer Vision, Springer-Verlag, 2010, pp. 667-678.
35. J. Kittler, M. Hatef, R.P. Duin, and J. Matas On combining classifiers IEEE Transactions on Pattern Analysis and Machine Intelligence 20 3 1998 226 239 (Pubitemid 128741312)
36. A.H. Lipkus A proof of the triangle inequality for the Tanimoto distance Journal of Mathematical Chemistry 26 2006 263 265
37. P. Phillips, D. Blackburn, M. Bone, P. Grother, R. Micheals, E. Tabassi, Face recognition vendor test, http://www.frvt.org , 2002.
38. G. Snedecor, and W. Cochran Statistical Methods 1967 Iowa State University Press