Please use this identifier to cite or link to this item: 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
Signal processing
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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