Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/8967
Title: Multiple Pulse K-Nearest Neighbors Authentication for Malay ECG Based Class Attendance System
Authors: Sairul Izwan Safie
Haidawati Nasir
Kushsairy Kadir
Lykourgos Petropoulakis
Issue Date: 11-Dec-2014
Abstract: This paper introduces a modified version of the k-Nearest Neighbor (kNN) classifier named Multiple Pulse k-Nearest Neighbor (MPkNN). MPkNN is developed by combining the special characteristic of the Pulse Active Width (PAW)technique with kNN. In this work, PAW and MPkNN have been used in a Malay electrocardiogram (ECG) based Class attendance system. A step by step description of generating the new Malay electrocardiogram (ECG) database is also described in this paper. A comparison of a misclassified set of results when using k-NN, with the correct results when using MPkNN is shown in the results section. Overall, PAW and MPkNN manage to correctly identify all subjects in the database during the authentication process. This study presents a novel method of reconfirming classification results using kNN for the same investigated signal.
Description: Conference venue: Kuala Lumpur
URI: http://localhost/xmlui/handle/123456789/8967
Appears in Collections:Conference Paper

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