Using ECG Authentication for Biometrics in Smart Cities

Using ECG Authentication for Biometrics in Smart Cities

Rohit Rastogi, Aditi Mittal, Ishanki Verma, Pallavit Saxena
Copyright: © 2023 |Pages: 26
DOI: 10.4018/IJSSSP.324078
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Abstract

All the biometric systems are based on some important features of these modalities which are mainly known for their uniqueness in one way or the other. However, the automatic attendance system using heart biometrics is focused as it is internally unique and focused on internal flexibility of the heart. Heart biometrics include different authentication modalities such as ECG, SCG, PCG and so on. It is primarily focused on authentication using ECG signals which uses algorithms or techniques such as SVM (support vector machine) for authentication purposes and dynamic time warping for signal matching. Algorithms used have shown high accuracy results and the challenges faced were considerable and effectively managed to improve for further advancements.
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Objective Of The Research

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    Provides easy means to have attendance for both faculty and student

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    Reduces manual work by having a much reliable system which uses heart recognition as its means

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    A person cannot have his/her attendance if they are not in the given acceptable range and also their friends cannot mark his/her attendance because our heart recognition system will uniquely identify each and every individual

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    This study also unlocks the limitations of existing biometric systems and can be a highly secure system.

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    It reduces chances of losing your personal information and makes contactless tracing feasible.

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    It can be used to save time and use them for student benefits. For example:- if it takes 5 minutes for a teacher to have attendance then in a week it took 35 minutes considering 7 lectures per week .If there are 100 faculty then it took 3500 minutes approx. 59 hours it can be significantly reduced to 1 hour by using above methodology.

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Topic Organizations

This research paper first tells about the heart recognition system (HRS), why it is used for biometrics purposes and why the signals generated are unique. The author team tells about the various fields in which HRS can be used and why HRS is better than other biometrics.

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