Abstract
This paper presents a practical approach to person recognition by gait. The biometric system is based on ground reaction forces and positions of the center of pressure generated during the subject gait and the single-output multilayer neural network. The article discusses both the identification and the verification problems as well as influence of the security level on the quality of the proposed biometric system. The achieved results (almost 96% of correct recognition) show that human gait is a biometric measure which enables efficient authorization in a simple way.
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References
Balista, J.A., Soriano, M.N., Saloma, C.A.: Compact Time-independent Pattern Representation of Entire Human Gait Cycle for Tracking of Gait Irregularities. Pattern Recognition Letters 31, 20–27 (2010)
Derlatka, M.: Biometric System for Person Recognition Using Gait. In: Kryszkiewicz, M., Rybinski, H., Skowron, A., Raś, Z.W. (eds.) ISMIS 2011. LNCS (LNAI), vol. 6804, pp. 565–574. Springer, Heidelberg (2011)
Karlsson, A., Frykberg, G.: Correlations Between Force Plate Measures for Assessment of Balance. Clin. Biomech. 15(5), 365–369 (2000)
Nakajima, K., Mizukami, Y., Tanaka, K., Tamura, T.: Footprint-Based Personal Recognition. IEEE Transactions on Biomedical Engineering 47(11), 1534–1537 (2000)
Orr, R.J., Abowd, G.D.: The Smart Floor: a Mechanism for Natural User Identification and Tracking. In: Proc. of Conference on Human Factors in Computing Systems (2000)
Porwik, P., Zygula, J., Doroz, R., Proksa, R.: Biometric Recognition System Based on the Motion of the Human Body Gravity Centre Analysis. Journal of Medical Informatics and Technologies 15, 61–69 (2010)
Rodriguez, V.R., Manson, J., Evans, N.: Assessment of a Footstep Biometric Verification System Handbook of Remote Biometrics. In: Tistarelli, et al. (eds.) Advances in Pattern Recognition, London, pp. 313–327 (2009)
Winter, D.A.: Biomechanics and Motor Control of Human Movement, 4th edn. John Wiley & Sons inc. (2009)
Yao, Z., et al.: A Novel Biometric Recognition System Based on Ground Reaction Force Measurements of Continuous Gait. Human System Interactions. In: 3rd Conf. on Digital Object Identifier, Rzeszow Poland, pp. 452-458 (2010)
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Derlatka, M. (2012). Human Gait Recognition Based on Signals from Two Force Plates. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2012. Lecture Notes in Computer Science(), vol 7268. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29350-4_30
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DOI: https://doi.org/10.1007/978-3-642-29350-4_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29349-8
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