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http://hdl.handle.net/10553/42446
Title: | Biometric approach based on physiological human signals | Authors: | Alemán-Soler, N. M. Travieso, Carlos M. Guerra-Segura, E. Alonso, Jesus B. Dutta, M. K. Singh, A. |
UNESCO Clasification: | 33 Ciencias tecnológicas | Keywords: | Arduino Biomedical signals Biometric identification e-Health Neuroal Network, et al |
Issue Date: | 2016 | Journal: | 3rd International Conference on Signal Processing and Integrated Networks, SPIN 2016 | Conference: | 3rd International Conference on Signal Processing and Integrated Networks, SPIN 2016 | Abstract: | This study presents an approach to use different biomedical signals in order to do biometric identification. The biomedical signals are captured using Arduino and Libelium platforms, what offers a low cost solution. The biomedical signals used are Electromyogram, Electrocardiogram and the Galvanic Skin Response. These signals are parametrized using well-known measures and Neural Networks are used as classifier in order to develop the user identification. The result of a success rate of 85.55% what is understood as a promising way to identify people by their biomedical signals. | URI: | http://hdl.handle.net/10553/42446 | ISBN: | 9781467391979 | DOI: | 10.1109/SPIN.2016.7566783 | Source: | 3rd International Conference on Signal Processing and Integrated Networks, SPIN 2016 (7566783), p. 681-686 |
Appears in Collections: | Actas de congresos |
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