Paper Info
Title
Personal identification study for touchable devices with ECG: A demonstration of the class file
Abstract
Each person has unique bio-information, and this information rarely would be overlapped to other people. Because of this feature, many researchers have been working on a user's identification. However, the problem is that it is not certain if the feature is exactly matched at any time and in any place for the dynamic signal. It is very hard to match bio-information whenever it is measured; however, all natural signals have an individual pattern. In this paper, it uses an ECG (electrocardiogram) as bio-information, and it tries to find each pattern, which will be located within the threshold. With the pattern in the threshold, it detects the user's identification. To analyze the patterns, it analyzes them as measured for 120 seconds. Next, it divides them every 1-2 seconds to 5 seconds. Then, it could recognize the users' identification with this study, and then, finally, the accuracy is 83.3618%.
Year
DOI
Venue
2020
10.1002/cpe.5169
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
Keywords
DocType
Volume
ECG,emotion,identification,pattern,touchable device
Journal
32.0
Issue
ISSN
Citations 
SP8.0
1532-0626
0
PageRank 
References 
Authors
0.34
7
3
Name
Order
Citations
PageRank
Hoon Ko15819.15
Sung Bum Pan200.34
Libor Mesicek300.68