Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/43954
Title: Biometric personal identification system using biomedical sensors
Authors: Diaz Alonso, Alain D.
Travieso, Carlos M. 
Alonso, Jesus B. 
Dutta, Malay Kishore
Singh, Anushikha
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Support vector machines
Skin
Electromyography
Temperature measurement
Mathematical model, et al
Issue Date: 2017
Conference: 2nd International Conference on Communication, Control and Intelligent Systems, CCIS 2016 
Abstract: This paper proposes a biometric system to identify people using common biomedical sensors. A dataset is built by groups of signals acquired from 25 people, and is used in the system. The present proposal applies a combination of principal components analysis and support vector machines to identify people by a group of biometric signals: electrocardiogram, airflow, temperature, pulse oximetry, electromyogram and galvanic skin response. The testing results have achieved a 92% of correct identification rate.
URI: http://hdl.handle.net/10553/43954
ISBN: 9781509032105
DOI: 10.1109/CCIntelS.2016.7878210
Source: 2nd International Conference on Communication, Control and Intelligent Systems, CCIS 2016 (7878210), p. 104-109
Appears in Collections:Actas de congresos
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