Personal Identification via Heartbeat Signal

Autor: Bin Li, Shi-Jinn Horng, Xuan-Zi Hu, Naixue Xiong
Rok vydání: 2018
Předmět:
Zdroj: PAAP
DOI: 10.1109/paap.2018.00034
Popis: This study is trying to improve the biometric system using the heartbeat signal. The proposed algorithm calculates the contribution of all extracted features to biometric recognition. The efficiency of the proposed algorithms is demonstrated by the experiment results obtained from the Multilayer Perceptron, Naive Bayes and Random Forest classifier applications based on the extracted features. The results were evaluated via the Multilayer Perceptron, Naive Bayes and Random Forest classifier models; the true positive rates are then 94.6078%, 92.1569% and 90.3922%, respectively. Compared to existing methods, the proposed method has the better results.
Databáze: OpenAIRE
načítá se...