A Survey Study of the Current Challenges and Opportunities of Deploying the ECG Biometric Authentication Method in IoT and 5G Environments
Autor: | Ahmed Younes Shdefat, Nour Mostafa, Louai Saker, Ahmet E. Topcu |
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Rok vydání: | 2021 |
Předmět: |
Authentication
Control and Optimization Biometrics Computer Networks and Communications business.industry Process (engineering) Computer science Data science Identification (information) Artificial Intelligence Hardware and Architecture Control and Systems Engineering Software deployment Computer Science (miscellaneous) Electrical and Electronic Engineering business Internet of Things Wearable technology 5G Information Systems |
Zdroj: | Indonesian Journal of Electrical Engineering and Informatics (IJEEI). 9 |
ISSN: | 2089-3272 |
Popis: | The environment prototype of the Internet of Things (IoT) has opened the horizon for researchers to utilize such environments in deploying useful new techniques and methods in different fields and areas. The deployment process takes place when numerous IoT devices are utilized in the implementation phase for new techniques and methods. With the wide use of IoT devices in our daily lives in many fields, personal identification is becoming increasingly important for our society. This survey aims to demonstrate various aspects related to the implementation of biometric authentication in healthcare monitoring systems based on acquiring vital ECG signals via designated wearable devices that are compatible with 5G technology. The nature of ECG signals and current ongoing research related to ECG authentication are investigated in this survey along with the factors that may affect the signal acquisition process. In addition, the survey addresses the psycho-physiological factors that pose a challenge to the usage of ECG signals as a biometric trait in biometric authentication systems along with other challenges that must be addressed and resolved in any future related research. |
Databáze: | OpenAIRE |
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