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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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